Skip to main content

A complex network of transcription factors and epigenetic regulators involved in bovine leukemia virus transcriptional regulation


Bovine Leukemia Virus (BLV) is the etiological agent of enzootic bovine leukosis, a disease characterized by the neoplastic proliferation of B cells in cattle. While most European countries have introduced efficient eradication programs, BLV is still present worldwide and no treatment is available. A major feature of BLV infection is the viral latency, which enables the escape from the host immune system, the maintenance of a persistent infection and ultimately the tumoral development. BLV latency is a multifactorial phenomenon resulting in the silencing of viral genes due to genetic and epigenetic repressions of the viral promoter located in the 5ʹ Long Terminal Repeat (5ʹLTR). However, viral miRNAs and antisense transcripts are expressed from two different proviral regions, respectively the miRNA cluster and the 3ʹLTR. These latter transcripts are expressed despite the viral latency affecting the 5ʹLTR and are increasingly considered to take part in tumoral development. In the present review, we provide a summary of the experimental evidence that has enabled to characterize the molecular mechanisms regulating each of the three BLV transcriptional units, either through cis-regulatory elements or through epigenetic modifications. Additionally, we describe the recently identified BLV miRNAs and antisense transcripts and their implications in BLV-induced tumorigenesis. Finally, we discuss the relevance of BLV as an experimental model for the closely related human T-lymphotropic virus HTLV-1.


Bovine Leukemia Virus (BLV) is a B-lymphotropic retrovirus naturally infecting cattle. In the majority of the cases, infected animals remain lifelong asymptomatic carriers, while ~ 30% will present a persistent lymphocytosis, characterized by an accumulation of infected B lymphocytes [1]. In a minority of cases (less than 5%), infected animals can develop B-cell lymphoma or leukemia termed enzootic bovine leukosis (EBL) after a long incubation period of on average 7 years [2, 3]. Experimentally, several other species are permissive to infection such as rabbits, rats, chickens, pigs, goats and sheep, but only goats and sheep develop a persistent infection which is able to induce tumoral development [4]. Interestingly, sheep are highly sensitive to BLV infection and the majority (> 95%) will develop EBL after a shorter period of incubation ranging from 1 to 4 years [1], thus constituting a convenient model to study the mechanisms of BLV-induced tumoral development [4,5,6,7,8,9,10]. Although now eradicated in most European countries through the introduction of costly sanitary rules, consisting mainly in the testing and slaughtering of BLV-infected animals, BLV is still highly present in the USA and other regions where it is associated with important economic losses [11, 12]. Condemnation of carcasses showing evidence of tumoral development, which are not authorized to enter the human food chain, is the main source of these losses. In the USA, BLV-induced tumoral development constitutes up to 20% of total condemnations in slaughter plants [13, 14]. Additionally, other side effects linked to BLV infection, such as reduced lifespan of infected dairy cattle, reduction in milk production, increased susceptibility to opportunistic pathogens, and trade restrictions imposed on infected cattle and their products, are also causes of important economic losses [11, 15]. Currently, the most efficient method for controlling BLV infection is the systematic test of the herds and the culling or segregation of BLV-positive animals. However, where BLV prevalence is high, this method is not economically feasible and preventive methods avoiding the transfer of infected body fluids are mostly used [11]. To date, although several strategies such as treatment with the histone deacetylase inhibitor valproate [16] have been tested, none of them has proved sufficient efficiency to be commercialized worldwide. In addition, several vaccines have been developed against BLV that have been reported to be ineffective [17,18,19,20]. However, further studies are ongoing to develop new vaccines including the study from Archilla et al. [21] which has shown promising results but needs further investigation to assess the efficiency and biosafety of the vaccine.

As all retroviruses, BLV infects its target cells by retrotranscribing its single-stranded RNA genome into double-stranded DNA, integrating this DNA into the host cell genome, hijacking the cellular machinery to express the viral genes and complete the viral replication cycle. In this integrated form called provirus, the BLV genome is delimited by two identical DNA sequences, termed 5ʹ and 3ʹ Long Terminal Repeats (5ʹLTR and 3ʹLTR) (Fig. 1). The 5ʹLTR contains the promoter elements responsible for the RNA polymerase II (RNAPII)-dependent expression of the viral structural genes gag, pro, pol and env as well as of the accessory genes R3, G4, Tax and Rex necessary for efficient viral replication. However, rapidly after infection, the 5ʹLTR promoter activity is repressed through genetic and epigenetic mechanisms leading to the absence of viremia and the escape from the host immune system, which certainly contribute to tumoral development [22]. Despite this viral latency affecting the 5ʹLTR, BLV expresses 10 different miRNAs from a genomic region localized between the Env gene and the R3 coding region, through an RNA polymerase III (RNAPIII)-dependent process. Moreover, three antisense transcripts are expressed through an RNAPII antisense promoter activity located in the 3’LTR (Fig. 1).

Fig. 1
figure 1

Schematic representation of the BLV genome. The BLV proviral genome is flanked by two identical Long Terminal Repeats (the 5ʹLTR and the 3ʹLTR). The 5ʹLTR contains the core RNAPII promoter elements (CAAT and TATA boxes) and associated cis-regulatory elements (see text) responsible for the expression of 5ʹ-capped unspliced (Genomic), single-spliced (Env, G4) or multi-spliced (Tax/Rex, R3) sense transcripts, each coding for different viral proteins. Through interactions with the cellular CREB, CREM, ATF-1 and ATF-2 transcription factors, the viral protein Tax transactivates the 5ʹLTR sense promoter activity. The miRNA region is composed of a cluster of 5 independent RNAPIII promoters, each containing characteristic type 2 RNAPIII promoter elements (A-like Box, B-like Box) and a terminator and is responsible for the constitutive expression of 5 pre-miRNAs (pre-miRNA-B1 to− B5) independently of Drosha. The pre-miRNAs are further processed by Dicer in 10 viral miRNAs (miR-B1-5p and 3p to miR-B5-5p and 3p). The 3’LTR exhibits a TATA-less antisense RNAPII promoter that operates thanks to a combination of core promoter elements (MTE, DPE, BRE) and different cis-regulatory elements (IRF, E-Box 4) and that is responsible for the expression of 3 single-spliced antisense transcripts (AS1-S, AS1-L, AS2) initiated from two major transcription start sites. Although the LTRs are identical, only cis-regulatory elements with known impact on sense or antisense promoter activity are represented in the 5ʹLTR or 3ʹLTR, respectively. Sequences of the described cis-regulatory elements can be found in Annex 1

Here, we will review the molecular mechanisms regulating each of the three BLV transcriptional activities, either through cis-regulatory elements or through epigenetic modifications: [1] the 5ʹLTR RNAPII-dependent sense transcription, [2] the RNAPIII-dependent miRNAs transcription and [3] the 3ʹLTR RNAPII-dependent antisense transcription. Additionally, we will describe the recently identified BLV miRNAs and antisense transcripts and summarize their implication in BLV-induced tumorigenesis.

5ʹLTR RNAPII-dependent sense transcription

In mammalian cells, gene expression depends on cis-regulatory sites including promoters, enhancers and silencers. The diverse patterns of gene expression are driven by the binding of transcription factors to promoters or enhancers which can be ubiquitous, cell-specific or induced by internal and external signals, leading to a multitude of gene expression profiles. Regarding BLV, viral gene expression is also regulated by the binding of cellular transcription factors and of the viral transactivator Tax to viral promoter and enhancer elements located in the 5ʹLTR. The 5ʹLTR (subdivided in 3 regions U3, R and U5) contains two canonical RNAPII core promoter elements, the CAAT and TATA boxes, responsible for transcriptional initiation at the U3/R junction of all viral sense transcripts [23, 24]. Functionally, different cis-regulatory elements bound by host cellular factors are responsible for a low basal transcriptional activity, while Tax is the unique viral protein required for the strong transactivation of the 5ʹLTR (Fig. 1). In addition to the cellular factors and the viral transactivator Tax, several epigenetic modifications influencing the chromatin state of the provirus also regulate the transcriptional activity of the 5ʹLTR.

The cis-regulatory elements of the BLV 5ʹLTR

Tax-responsive elements

The most important sequences of the BLV 5ʹLTR are three 21 bp Tax-responsive elements (TxREs) located in the U3 region at positions nt− 164 to− 143 for TxRE1, nt− 139 to− 118 for TxRE2 and nt− 64 to − 43 for TxRE3 [25] (Fig. 1). Each TxRE is composed of an imperfectly conserved cyclic adenosine monophosphate (cAMP)-response element (CRE) (nt− 157 to− 149 for CRE1, nt− 132 to− 124 for CRE2, and nt− 57 to− 49 for CRE3) and an overlapping enhancer box (E-box) element (nt− 151 to− 145 for E-box1, nt− 126 to− 120 for E-box2, and nt− 51 to− 45 for E-box3). Importantly, all three TxREs have been demonstrated by deletion/mutation studies to be implicated in Tax-mediated transactivation of the 5ʹLTR [24, 26,27,28,29] that leads to a strong transcription of the viral genes, indicating that Tax is a key activator of BLV gene expression.

CRE-like motifs: A CRE motif is a palindromic octanucleotide consensus sequence 5ʹ-TGACGTCA-3ʹ bound by proteins of the CREB (CRE-binding proteins)/ATF (activating transcription factors) family, encoded by three homologous genes: creb, CRE modulator (crem) and activating transcription factor 1 (atf-1) [30]. The common feature between these transcription factors is the basic-region leucine zipper (bZIP) important for specific DNA binding and dimerization. These factors form homo—or heterodimers with CREB/ATF factors or with other factors containing a bZIP domain such as the activator protein-1 (AP-1), CCAAT/enhancer binding protein (C/EBP) or Maf family proteins to regulate gene expression [31].

To access CRE sequences and regulate gene expression, CREB needs to be phosphorylated on residue Ser133 [32]. The first kinase reported to phosphorylate CREB on Ser133 is the protein kinase A (PKA), an important effector of the cAMP signalling pathway. Later, other kinases have been demonstrated to phosphorylate CREB such as calcium/calmodulin-dependent kinases (CaMKs), mitogen-activated protein kinase (MAPK) and Akt [31]. The phosphorylation of CREB enables interaction with the co-activators CREB binding protein (CBP) and p300 that positively regulate gene expression through their histone acetyltransferase (HAT) activity and their interaction with the basal transcriptional machinery including TATA-box binding protein (TBP), TFIIB and RNAPII [31].

Concerning BLV, several laboratories have demonstrated by electrophoretic mobility shift assays (EMSAs) that the CRE-like motifs identified in the BLV 5’LTR are able to recruit the cellular transcription factors CREB [29, 33,34,35], CREM [36], ATF1 and ATF2 [35]. These in vitro binding studies were confirmed in vivo by chromatin immunoprecipitation (ChIP) assays in a B-lymphoid cell line isolated from a BLV-infected sheep at the tumoral stage, the YR2 cell line [36,37,38]. BLV latency in the YR2 cell line is due to two glutamic acid (E) to lysine (K) amino acid substitutions (E228K and E303K) in the viral protein Tax, impairing its transactivator role [39]. CREB/ATF have been shown to activate BLV transcription in basal condition (i.e. in the absence of Tax) by transient transfection experiments. Indeed, mutations in the CRE-like motifs markedly decrease the 5’LTR promoter activity with the mutation in the second CRE-like motif (CRE2) alone being sufficient to induce significant repression of the BLV promoter activity [38, 40]. Consistent with this, reverting the CRE-like motif to a perfect consensus sequence, thus favoring the binding of CREB/ATF proteins, results in an increased transcriptional activity of the 5’LTR [41]. Importantly, the three CRE-like motifs are necessary for Tax-mediated BLV transactivation [24, 26,27,28,29]. Indeed, the viral transactivator Tax does not bind directly DNA but interacts with the bZIP domain of the proteins of the CREB/ATF family, enhancing their binding affinity to the imperfect CRE elements and resulting in the high transactivation of BLV expression from the 5’LTR [42, 43].

In contrast, not all members of the CREB/ATF family have been demonstrated to positively regulate the 5’LTR promoter activity, as some of them were shown to have no effect or even to negatively regulate Tax-mediated transactivation. For example, among the other isoforms of CREM, CREMτ activates the 5’LTR promoter activity, whereas it has no effect on its Tax-mediated transactivation [36]. However, co-transfection experiments of a 5’LTR reporter construct with expression vectors for CREB, Tax and CREMτ have demonstrated that CREMτ represses the synergistic activation of the BLV 5’LTR by CREB and Tax [36].

The activation of BLV gene expression by CREB/ATF family members seems to depend on the phosphorylation of the CREB/ATF factors and on the recruitment of their co-activators CBP/p300 to the BLV promoter as reported for HTLV-1 [44]. Co-transfection of CREB2 (also named ATF-4) with the kinases PKA [33] and CaMKIV [35] activates BLV transcription, while the absence of PKA inhibits Tax-mediated transactivation [33]. In addition, mutation of the Ser-117 in CREMτ, impairing its phosphorylation, leads to a decrease in the CREMτ-mediated activation of the 5ʹLTR promoter [36]. Moreover, recruitment of CBP to the BLV promoter has been shown in vivo by ChIP assays in PMA/ionomycin-stimulated YR2 cell line, and co-transfection of CBP with CREMτ induces a strong increase in the 5’LTR promoter activity compared to transfection of CREMτ alone, demonstrating a co-activation of the BLV promoter by CREMτ and CBP [36]. Mechanistically, the phorbol ester PMA and the calcium ionophore ionomycin activate the protein kinase C (PKC) and calcineurin, leading to the activation of several transcription factors such as NF-ƙB and nuclear factor of activated T-cells (NFAT), and finally causing BLV provirus reactivation [45].

These observations suggest that when a stimulus induces the cAMP pathway and/or an increase in calcium concentration, it activates the kinases PKA and/or CaMKIV, respectively, which in turn phosphorylate CREB/ATF factors. This allows their interaction with CBP and/or p300 which acetylate the histone tails (See ''Histone acetylation'' Sect), thereby activating the 5’LTR transcriptional activity. Importantly, it seems that phosphorylation of CREB/ATF factors is required for the transactivation of the 5ʹLTR by the BLV protein Tax.

E-boxes: In eukaryotic cells, E-box motifs are regulatory sequences with dual functions and able to bind numerous proteins. These proteins mainly contain a basic helix-loop-helix leucine-zipper domain and can act depending on their binding partners either as transcriptional activators (such as enhancer-binding protein 4 (AP-4), upstream stimulatory factors 1 and 2 (USF1 and USF2)) or as transcriptional repressors (such as MYC associated factor X (Max), MAX dimerization protein (Mad)) [46, 47].

In the context of BLV, these motifs have been initially described as binding sites for the cellular factor AP-4, as the two first E-box motifs contain the consensus sequence 5’-CAGCTG-3’ corresponding to the AP-4 binding motif [25, 48]. However, to date, the identity of the factors binding to the E-box1, 2 and 3 remains to be established. In vitro supershift assays using antibodies targeting potential candidates such as AP-4 [41], but also USF-1, USF-2, Max, Mad1 to Mad4 and activated B-cell factor 1 (ABF-1) have revealed that these factors do not bind to the E-box motifs [40]. Concerning the functional effects of the E-boxes on the 5’LTR promoter activity, conflicting results have been reported, either in basal or Tax-transactivated conditions. In basal condition, transient transfection experiments of a 5’LTR-reporter construct containing the E-boxes 1 or 2 mutated individually have shown an activating or inhibitory role depending on the transfected cell line [25]. However, no molecular evidence explaining these results has been given [25]. On the contrary, the combined mutations of the 3 E-boxes result in a 2 to fourfold increase in the 5’LTR promoter activity when the corresponding reporter construct was transfected in two different cell lines (Raji or D17) [40, 41]. Molecularly, this repressive role of the E-boxes has been attributed to a steric hindrance occurring between the potential proteins bound to the E-boxes and the overlapping CRE regions, as demonstrated by EMSAs [40]. In Tax-transactivated condition, the E-box motifs can either enhance or repress Tax activity in reporter assays, depending on the transfected cell line [25].

These results suggest a complex mechanism of BLV promoter regulation depending on the cell state, the recruitment of factors and the presence of the viral transactivator Tax.


Our laboratory has identified a PU-box in the U3 region of the BLV 5ʹLTR located between the positions nt− 95 to− 83 and centered on a purine-rich motif GGAA [49]. PU.1 and Spi-B, both B-cell- and macrophage-specific members of the ETS transcription factor family [50], have been demonstrated to specifically interact with the PU-box by gel shift assays. Moreover, PU.1 recruitment to the 5’LTR has been demonstrated in vivo by ChIP assays in the YR2 cell line and is increased by treatment of the cells with a combination of phorbol-12-myristate 13-acetate (PMA) and ionomycin (PMA/ionomycin), a potent activator of BLV gene expression [51]. Interestingly, our laboratory has also shown that ectopic expression of PU.1 and Spi-B significantly increases transcription from the BLV promoter in absence of Tax [49]. Consistent with this, a 2 bp mutation in the PU-box reduces the BLV 5’LTR promoter activity as well as its activation following PMA/ionomycin treatment [40, 49, 51]. However, the same mutation did not affect the responsiveness of the BLV promoter to the viral transactivator Tax, indicating that PU.1 and Spi-B positively regulate the basal transcription but are not required for Tax-mediated transactivation of the BLV promoter. PU.1 is well known for its key implication in the determination of the identity of multiple cell lineages of the immune system such as myeloid, dendritic and B cells [52, 53] by acting as a “pioneer” transcription factor in opening closed chromatin [54], thereby leading to the recruitment of other transcription factors [55]. With its specificity for B cells and its “pioneer” action, PU.1 could be a key factor in BLV transcription by providing access to the BLV promoter to other transcription factors, such as CREB/ATF, USF, and IRF, and leading to the expression of Tax and the transactivation of the BLV promoter. Importantly, the PU.1/Spi-B binding site located in the BLV 5’LTR constitutes the only cis-regulatory element recognized by transcription factors whose expression is restricted to macrophages and B cells and could thus participate to the BLV tropism for B cells.

Before the identification of the PU.1 binding site, Brooks et al. had suggested the presence of a ƙB binding site at a position between nt− 118 and nt− 70 [56]. However, our laboratory could not demonstrate the binding of NF-ƙB by both supershift and competition experiments using nuclear extracts and the same DNA sequence used by Brooks et al. [49, 56].

Heat shock element (HSE)

In mammals, following heat shock, the transcription factor heat shock factor 1 (HSF1) drives the transcriptional responses by binding to HSE [57]. HSF1 induces the expression of genes of the heat shock response corresponding mainly to chaperones. In the case of BLV, Hachiya et al. [58] have identified a conserved HSE sequence (5ʹ-TTTCCCGAAA-3ʹ) in the U3 region of the BLV 5ʹLTR between the positions nt− 86 to− 76, overlapping the end of the PU-box. By luciferase reporter assays in feline CC81 cells, these authors have shown the basal activation of the BLV LTR by HSF1. Moreover, HSF1 has also been demonstrated to increase Tax-mediated transactivation of the BLV LTR in these transient transfection experiments. The deletion of the HSE sequence in the BLV LTR and the use of a HSF1 mutant missing the DNA-binding domain impaired the BLV LTR-activation by HSF1 [58]. Therefore, the positive regulation of the BLV LTR by the cellular transcription factor HSF1 is mediated through binding to the HSE sequence.

GRE element

In 1979, Bloom et al. have reported that B lymphocytes from BLV-infected cows are sensitive to glucocorticoids in vitro and in vivo [59]. Later, Niermann and Buehring have focused on the effects of mammotropic hormones on BLV gene expression and tested five different hormones: 17β-estradiol, progesterone, insulin, prolactin, and dexamethasone [60]. Among these five hormones, the glucocorticoid dexamethasone possesses the most stimulatory effect which is increased by the addition of insulin and prolactin. However, the effect of dexamethasone requires the presence of BLV Tax and the glucocorticoid receptors [60]. One year later, the same team has identified a putative glucocorticoid response element (GRE) localized upstream of the CRE3 which binds purified glucocorticoid receptor protein [25]. The basal activity of the BLV LTR is significantly impacted by mutations in the GRE site in transient transfection assays [25, 40, 41]. However, more recently, Jaworski et al. have assessed the effect of dexamethasone on BLV infection in cattle chronically infected with BLV [61]. They have reported a spontaneous BLV reactivation in the cattle that was independent of dexamethasone treatment, suggesting the involvement of other important stimuli that still need to be identified. Overall, further studies are required to better understand the roles of the GRE element located in the BLV LTR and of glucocorticoids in BLV transcriptional regulation and pathogenesis.

Downstream activator sequence (DAS)

Derse and Casey have described a 250 bp-long element in the R/U5 region that strongly increases the activity of the BLV promoter independently of the viral transactivator Tax [23]. The section of the 250 bp long element containing the regulatory part was determined by deletion mutants of the U5 region in a transient expression system [62]. It corresponds to a 64 bp fragment called DAS [62] and located between positions nt + 146 to + 210 in the U5 region of the BLV 5’LTR. DAS contains two independent overlapping elements named DAS1 for the proximal element and DAS2 for the distal element that are each composed of three boxes required to upregulate the BLV promoter activity [62]. The strong upregulating activity of DAS suggests that it might be an enhancer of the BLV promoter independent of viral factors.

E-box 4

Besides the E-boxes located in the three TxREs, our laboratory has characterized an E-box motif 5’-CAGGTG-3’ located in the R region (nt + 173 to + 178) named E-box4 [63], inside the DAS region previously described. Unlike the other E-boxes, the specific binding of the basic helix-loop-helix proteins USF1 and USF2 to the E-box4 motif was demonstrated by electrophoretic mobility shift assays (EMSAs) [63] and further confirmed in vivo by ChIP-qPCR assays [51].

Functionally, the E-box4 motif is described as an activator of both basal and Tax-transactivated 5’LTR promoter activities, as demonstrated by transient transfection assays [40, 63]. Moreover, the E-box4 is important for the responsiveness of the BLV promoter to PMA/ionomycin treatment. Indeed, the treatment efficiency is reduced by mutating the E-box4, while it increases the binding of USF-1 and USF-2 through phosphorylation by an uncharacterized mechanism [51]. Additionally, the ectopic expression of USF1 and USF2 induces a stimulatory effect on the BLV promoter which is in part dependent on the E-box4 motif [63]. Interestingly, the effect of USF1 and USF2 is also impacted by mutations in the three other E-box motifs, suggesting that USF factors might also bind to those sequences [63]. Furthermore, the mutations in the four E-box motifs do not completely abrogate the transactivation of the BLV promoter by USF1 and USF2a, suggesting that they might interact with other cis-elements located in the BLV promoter region [63]. Thus, USF positively regulates BLV transcription through the four E-boxes and might also directly or indirectly interact with other cis-regulatory elements.

IRF binding site

In the U5 region of the BLV LTR, a transcriptional enhancer that contains a binding site for an interferon regulatory factor (IRF) was discovered between position nt + 250 to nt + 265 [64]. Our laboratory has shown that the factors IRF1 and IRF2 bind in vitro to the IRF binding site by gel shift assays [64]. Moreover, deletions and mutations in the IRF binding site decrease the basal activity of the BLV promoter in transient transfection assays [40, 64]. These results suggest that IRF-1 and IRF-2 could be involved in the initiation of BLV gene expression. However, the effects of IRF-1 and IRF-2 on BLV gene expression in transactivated conditions have not been reported, therefore a role of IRF-1 and IRF-2 after initiation of the transcription should not be excluded.

CTCF binding site

The CCCTC binding factor (CTCF) is a cellular factor with multiple transcriptional and epigenetic regulatory roles. CTCF uses different combinations of its 11 zinc finger domains to directly bind DNA regions harboring a conserved 15 bp core palindromic motif [65]. Mostly known for its importance in the regulation of the three-dimensional structure of the chromatin by forming chromatin loops between two CTCF binding sites [66,67,68], CTCF may also directly act as a transcriptional activator or repressor depending on its interacting partners [69]. Recently, we have shown by ChIP-qPCR in BLV-infected ovine cell lines and ovine PBMCs that CTCF binds in vivo to three regions of the BLV genome: at the U5 region of both the 5’LTR (nt + 285 to + 303) and the 3’LTR (nt + 8474 to + 8492), and to a lesser extent to the region coding for the second exon of Tax/Rex (nt + 7304 to + 7322) [70]. Transient transfection assays of a reporter construct containing the BLV 5’LTR wild-type or mutated for the CTCF binding site cloned upstream of the luciferase reporter gene demonstrated that CTCF acts as a repressor of the 5ʹLTR promoter activity in basal conditions, yet through an uncharacterized molecular mechanism. Moreover, besides CTCF-mediated repression by direct binding to the 5ʹLTR, the CTCF binding site located at the second exon of Tax/Rex might contribute to the repression of the 5ʹLTR by defining a histone modification profile and preventing the spread of activating histone marks towards the 5ʹLTR [70].

Impact of the chromatin environment on the BLV sense transcription

Transcriptional activity and establishment of viral latency are largely influenced by the genomic environment surrounding the provirus. Retroviruses integrate the host cellular genome, allowing the use of the transcriptional machinery but also subjecting the provirus to all the mechanisms regulating cellular gene expression.

In the nucleus of eukaryotic cells, DNA is packaged in a structural and functional repeating unit called the nucleosome composed of a DNA segment of 146 bp wrapped around a central core octamer of histone proteins. This octamer is composed of two molecules of each canonical histone proteins H2A, H2B, H3, H4. Each nucleosome is separated from the next one by a linker DNA, forming a polynucleosome fiber further stabilized by the histone H1 binding to the linker DNA close to the core histone octamer. Each histone contains a N-terminal domain that protrudes out of the nucleosome structure and that is subjected to several post-translational modifications [71]. Besides its role in compacting the DNA in the nucleus, it is now clear that chromatin structure regulates all the aspects related to DNA, such as recombination, DNA repair, replication, and importantly, regulation of gene expression, mainly by modulating the accessibility of DNA for regulatory transcription factors (reviewed in [72, 73]). Chromatin can be in a condensed structure characterized by regularly positioned nucleosomes, called heterochromatin, generally associated with transcriptionally inactive regions of the genome. In contrast, nucleosomes may be organized in a more dynamically regulated and loose structure associated with transcriptionally active regions of the genome, called euchromatin [74]. In this context, the position of the nucleosomes relative to a promoter has been shown to directly regulate its transcriptional activity [75]. In retroviruses, the nucleosomal organization surrounding the viral promoter has been shown to play an important role in HIV-1 [76] and BLV latency [51]. Similar to what is observed in HIV-1, our laboratory has demonstrated by indirect end-labelling experiments in the context of BLV-latently infected cell lines and ovine PBMCs that a nucleosome is positioned in the R region of the BLV 5ʹLTR, contributing to maintain a repressive closed chromatin structure [51]. Moreover, we have demonstrated that treatment of the latently-infected ovine cell line YR2 with a combination of PMA/ionomycin induces a disruption of the nucleosome positioning accompanied by BLV reactivation [51].

In addition to changes in nucleosome positioning, the core histones and particularly their unstructured N-terminal tails, are subjected to various reversible post-translational modifications also regulating the expression of surrounding genes. These modifications include acetylation, methylation phosphorylation, SUMOylation, ADP-ribosylation, ubiquitylation and other less represented modifications (reviewed in [77,78,79]) resulting in the modulation of gene expression by two mechanisms: [1] by directly altering the chromatin packing through changes in electrostatic charges altering DNA-histone contacts or inter-nucleosomal contacts, thus controlling the accessibility of transcription factors to DNA; [2] by displaying specific histone modifications patterns recognized by chromatin-associated proteins, with different downstream effector functions [80]. Remarkably, the association of different histone modifications can define the transcriptional state of different genomic locations such as promoters, enhancers or gene bodies and can be associated to activation or repression of transcription. Among the different post-translational modifications, lysine acetylation, lysine methylation and arginine methylation are the best characterized.

Histone acetylation

Histone acetylation is a reversible post-translational modification widely associated to transcriptional activation and consists in the transfer of an acetyl group onto the amino termini group of a lysine residue [79]. By doing so, the natural positive charge of the lysine is neutralized, which in turn weakens the DNA-histone interaction and favors the accessibility of transcription factors to DNA [81]. Moreover, transcriptional activation is also favored by specific recognition of acetylated lysine residues by bromodomain (BRD)-containing proteins, such as remodeling complexes and transcription factors [82, 83]. For example, the BRD-containing protein BRD4 favors transcription by binding to acetylated histones H3 or H4 and by recruiting the positive transcription elongation factor b (P-TEFb), playing a critical role in transcriptional elongation [84, 85]. Lysine acetylation is regulated by two groups of enzymes with opposing functions: the histone acetyltransferases (HATs) and the histone deacetylases (HDACs). The HATs (subdivided in four families: GNAT, MYST, CBP/p300 and others) [86, 87] catalyze the transfer of the acetyl group from an acetyl-CoA molecule mainly to the amino termini of lysines [88]. On the contrary, HDACs (subdivided in four classes based on sequence similarities: HDACI, II, III, IV) catalyze the removal of the acetyl group [87, 89].

Several studies have demonstrated the involvement of histone acetylation in the transcriptional regulation of BLV. First, the group of Richard Kettmann in collaboration with our laboratory has shown that HDAC inhibitors (HDACi) such as trichostatin A (TSA) and trapoxin (TPX) induce a marked increase of the BLV promoter activity in integrated reporter constructs in the D17 cell line [90]. In addition, TSA induces a strong BLV gene expression in peripheral blood mononuclear cells (PBMCs) from sheep and cattle that is comparable to the induction observed using PMA/ionomycin which is the most potent combination to activate BLV gene expression [90]. Another HDACi, the antiepileptic drug valproate, was demonstrated to activate LTR-driven gene expression in transient transfection experiments and in ex vivo cultures of PBMCs isolated from a BLV-infected sheep [91].

Our laboratory has confirmed the effects of TSA and valproate on the BLV promoter and has shown that another HDACi, sodium butyrate (NaB), exerts similar activations of the BLV promoter activity in transient transfection assays and in the context of an integrated provirus [40]. Moreover, we established a correlation between the degree of histone acetylation at the BLV 5ʹLTR and the transcriptional activation of the viral promoter by TSA. Indeed, we reported an increase in histone H4 acetylation at the BLV promoter by ChIP assays following treatment with the HDACi TSA. In addition, ectopic expression of each HDACs 1 to 5 induces a significant downregulation of LTR-driven gene expression in transient transfection assays [40].

The effects of HDACis are in part linked to the 3 E-box motifs overlapping the CRE-like motifs located in the TxREs. Indeed, mutations in the E-box motifs decrease the responsiveness of the BLV promoter to TSA without completely abolishing this responsiveness [40]. The observed repressing role of the E-boxes could be linked to the recruitment of HDACs to the BLV promoter. In addition, the in vitro binding of CREB/ATF is increased in gel shift assays using nuclear extracts from PBMCs and chronically BLV-infected cells treated with TSA [40, 92, 93]. In agreement, the in vivo recruitment of CREB to the BLV promoter is increased by TSA treatment of the YR2 BLV-infected cell line [92].

The group of Anne Van den Broeke has demonstrated the in vivo recruitment of HDAC1 and the known co-repressor mSin3A to the BLV promoter in the BLV-infected L267 cell line [93]. Following treatment of L267 cells with a combination of the DNA demethylating agent 5-azacytidine (5-azaC) and TSA, the recruitment of HDAC1/mSin3A to the 5’LTR was decreased and correlates with an increase in histone H3 and H4 acetylation, as well as with reactivation of BLV gene expression in the latent L267 cell line. Accordingly, the recruitment of HDAC1 to the BLV promoter in vivo was confirmed by our laboratory in another BLV-latently infected cell line YR2 [51] and we have shown that reactivation of BLV gene expression by PMA/ionomycin induces a decrease in HDAC1 recruitment which is inversely correlated with histone H4 acetylation levels.

In line with the activating effects of HDACis, a synergism between Tax and HDACis (TSA and NaBut) was observed, which was dependent on the CRE-like motifs in the U3 region of the 5’LTR [92]. Indeed, mutations in the 3 CRE motifs or ectopic overexpression of a negative dominant form of CREB abrogates the strong transactivation of the BLV promoter by Tax + TSA or Tax + NaBut in luciferase reporter assays [92].

Factors containing an intrinsic HAT activity such as CBP/p300 have been shown to be recruited to the BLV promoter in vivo by ChIP assays using chromatin from YR2 cells treated with PMA + ionomycin [36]. In transient transfection systems, CBP has been demonstrated to activate BLV basal transcription and to be involved in the activation of the BLV 5ʹLTR by CREMτ [36]. The study suggests that CBP is recruited to the BLV promoter by CREMτ.

In conclusion, modulation of histone acetylation at the BLV promoter is important for BLV transcriptional regulation.

Histone lysine methylation

Unlike histone acetylation which generally favors transcriptional activity, histone methylation has positive or negative effects on gene expression depending on the specific residues that are modified, the degree and pattern of modifications and the genomic localization of the modified histones [94]. In histones, the methylation process involves the attachment of a methyl group on the amino acid side chain and/or at the amino termini of lysine or arginine residues. Due to the multiple nitrogen atoms subjected to methylation in arginine residues, arginine methylation is complex and its role in gene expression is poorly understood. On the contrary, methylation of lysines occurs at the unique terminal amino group, and can exist as a mono-, di- or tri-methylated lysines. Although all the core histones may be methylated, histone H3 is principally methylated and typical marks can be distinguished: mono-, di-, or tri-methylated H3K4, H3K36 and H3K79 are typically characteristic of transcriptionally active regions, while methylated H3K9 and H3K27 are typically gene-repressive [94]. For example, H3K4me3 [95] is a characteristic mark of active promoters, and H3K4me1 is an activating mark of enhancers [96]. On the other hand, H3K9me2 is more frequently found at silent genes and H3K9me3 is characteristic of heterochromatin.

In opposition to lysine acetylation, methylation does not change the electronic charge of the side chain. Therefore, lysine methylation impacts gene expression mainly through effector proteins containing methyl-lysine-binding domains, such as the PHD, chromo, MBT domains and others [97]. As an example, the chromodomain-containing protein HP-1 specifically recognizes H3K9me3, which in turn induces the recruitment of the histone methyltransferase SUV39H1, which propagates the heterochromatin structure by additional H3K9me3 modifications. Histone methylation is a dynamic process regulated by different groups of proteins known as histone methyltransferases (HMTs), such as SUV39H1, G9a, EZH2, and histone demethylases (HDMTs), such as LSD1 and JmjC domain-containing enzymes catalyzing the addition or the removal of the methyl group respectively [97].

Less is known about the implication of histone methylation in BLV 5’LTR transcriptional regulation. In the latently-infected L267 cell line, the 5’LTR is associated with low levels of activating H3K4 methylation marks, in accordance with 5’LTR transcriptional repression [70, 93, 98]. However, the group of Anne Van den Broeke has described by ChIP assays that reactivation of the cells with the combination of TSA and 5-azaC induces an increase in H3K4 methylation marks [93]. The same methylation changes have been reported following viral activation with the PMA + ionomycin combined treatment of the YR2 cell line [51], suggesting that histone methylation also contributes to the regulation of BLV promoter activity.

DNA methylation

Another epigenetic mark known to be involved in the transcriptional regulation of BLV is DNA methylation. DNA methylation mainly occurs on cytosines located within CpG dinucleotides in mammalian cells. This modification is written par DNA methyltransferases (DNMTs) that catalyze the transfer of a methyl group from S-adenyl methionine to the fifth carbon of a cytosine, forming 5-methylcytosine [99]. During DNA replication, the DNA methylation profile is maintained by DNMT1 and the de novo methylation is due to DNMT3a and DNMT3b [100]. However, it is now admitted that DNMT1 can also catalyze de novo DNA methylation [101] and that DMNT3a and DNMT3b can also contribute to the maintenance of DNA methylation patterns [102]. Generally, DNA methylation in transcriptional regulatory regions is associated with gene silencing, either by directly blocking the binding of transcription factors to their recognition sequences or by indirectly preventing transcription factors from accessing their target sites through the attachment of methylcytosines-recognizing proteins. These latter proteins interact with and recruit epigenetic enzymes, such as HDACs and HMTs, thereby resulting in the formation of a closed repressive chromatin structure [103,104,105].

Concerning BLV, our laboratory has determined the DNA methylation status of the 5’LTR promoter region in two lymphoma-derived BLV latently-infected ovine B cell lines (the L267 cell line and the YR2 cell line) by bisulfite sequencing method [38]. The L267 cell line is composed of a fully replication-competent provirus [93] and possesses a hypermethylated promoter [38], whereas the YR2 cell line possesses a hypomethylated promoter [38] and is defined by a single monoclonally-integrated silent provirus, in which infectious potential is impaired by two mutations in the viral transactivator Tax [106, 107]. L267 is thought to represent a true latency state, while YR2 represents a mutant defective latency. Moreover, the reactivation of the L267 cell line by transduction of Tax (L267 Tax cell line) induces global demethylation of the 5ʹLTR [38, 93]. In addition, only the latent promoter in the 5ʹLTR is hypermethylated in the U3 and R regions, while the active promoter at the 3ʹLTR is fully hypomethylated. These observations suggest a correlation between the DNA methylation at the 5’LTR and transcriptional repression of the BLV promoter.

The methylation status observed in the L267 Tax cell line suggests preferential demethylation of the two CRE-like motifs of the TxRE1 and TxRE2 [38]. By gel shift assays, the binding of CREB/ATF proteins to the TxRE1 and TxRE2 was demonstrated to be impaired by DNA methylation of a single CpG dinucleotide in vitro. In agreement, their recruitment to the BLV promoter in vivo occurs in the YR2 cell line and not in the L267 cell line possessing a hypermethylated promoter.

In vitro methylation of the BLV promoter induces a decrease in basal [38, 108] and transactivated transcription [108] in transient transfection assays. The activity of the in vitro methylated BLV promoter is increased following treatment with different DNA demethylating agents (procaine, procainamide, 5-aza-2ʹ-deoxycytidine (5-azadC), and zebularine) [38]. Another study has shown the reactivation of BLV latently-infected cells following the treatment with a combination of TSA and 5-azaC [93]. A synergism between Tax and the DNA methylating agents, 5-azadC and procaine, was demonstrated and is dependent on the three CRE-like motifs of the TxREs in mutant studies [38]. Moreover, ectopic expression of DNMT1 and DNMT3A, not DNMT3B, decreases the transcription of the BLV promoter [38]. Interestingly, the expression of the DNMTs is downregulated by the viral transactivator Tax.

The methylation status of the BLV promoter in vivo, in the context of the natural host, has been controversial. Kashmiri et al. have shown the hypermethylation of the proviral promoter in both BLV-induced tumor cells and in PBMCs from BLV-infected cattle with lymphosarcoma using methylation-sensitive restriction enzymes [109]. However, Tajima et al. have shown, by bisulfite sequencing, the absence or poor DNA methylation of the 5ʹLTR in PBMCs of cows at different stages of the disease and of a sheep experimentally infected by BLV [108]. These conflicting results might be explained by the fact that integrated provirus in tumoral cells can be completely silenced by genetic alteration of its sequence and thus the cells studied might be silenced by mutations or deletions in the provirus [108].

Overall, these results suggest that the DNA methylation of the BLV 5ʹLTR plays an important role in the transcriptional repression of the viral promoter in the context of a fully replication-competent integrated provirus.

These studies demonstrate the importance of the chromatin environment in the transcriptional regulation of the BLV promoter and its pathogenesis. Moreover, drugs targeting mechanisms of epigenetic regulation are promising in terms of therapeutic approaches.

RNAPIII-dependent expression of BLV miRNAs

MicroRNAs (miRNAs) are a class of small single-stranded noncoding RNAs of approximately 22 nt in length that play important roles in gene expression regulation at the post-transcriptional level [110, 111]. First discovered in eukaryotes, it is now clear that viruses, mainly with DNA genomes but also RNA viruses, express viral miRNAs which play important roles in viral replication cycle and disease development [112,113,114]. Canonically, eukaryotic and viral miRNAs are transcribed from either the protein-coding region or the noncoding region of the genome by RNAPII to generate long hairpin structured primary miRNA transcripts (pri-miRNAs) [112, 115]. Pri-miRNAs are then processed by the nuclear RNaseIII Drosha to generate single hairpin called precursor miRNA (pre-miRNA). After their export in the cytoplasm by Exportin 5, the pre-miRNA is cleaved by Dicer to generate a double-stranded miRNA intermediate. Then, the strand with the most thermodynamically stable 5’-end (called mature miRNA) is incorporated in the RNA-induced silencing complex (RISC) composed of the Ago protein. The RISC complex is then guided by sequence complementarity of the miRNA to the target RNA, where it promotes its translation inhibition and/or its degradation. Non-canonical miRNA biogenesis pathways have also been characterized and can be classified in Drosha- or Dicer-independent pathways [115, 116].

Concerning BLV, the groups of Christopher Sullivan [117] and Anne Van den Broeke [118] have simultaneously identified that a genomic region of ~ 600 nt expresses a cluster of 10 miRNAs (BLV-miR-B1-3p/5p to BLV-miR-B5-3p/5p) (Fig. 1) through a non-canonical process by the use of bioinformatic prediction tools and high-throughput sequencing of small RNAs. Indeed, the BLV miRNAs are expressed through five independent type II RNAPIII promoter units, by a Drosha-independent mechanism [98, 117, 118]. Type II RNAPIII promoters, responsible for tRNAs expression, typically contain two intragenic regulatory elements (the A box and the B box) followed by a stretch of 4–6 polyA on the template DNA strand as terminator signal [119]. Unlike this typical organization, each BLV miRNA promoter is constituted of one or two intragenic A-box separated from a B-box by the terminator signal and individual mutation in each of these elements has revealed their importance for proper pre-miRNA expression [120]. Through this RNAPIII-dependent expression, BLV miRNAs are individually embedded in a 5ʹ triphosphorylated pre-miRNA structure with 5ʹ and 3ʹ extremities defined by the transcription start and end sites, respectively [120]. Moreover, reporter assays with the miRNA cluster cloned in the 3ʹUTR of the luciferase gene has revealed that longer RNAPII transcripts are not processed neither by Drosha, nor by other Drosha-independent mechanisms [120]. In other words, these results demonstrate that longer viral transcripts containing the miRNA cluster (such as the genomic, Gag or Env transcripts) are not cleaved by Drosha avoiding a potential detrimental effect on BLV replication due to degradation of viral transcripts [117, 118]. The 5ʹ triphosphorylated pre-miRNAs are then exported in the cytoplasm and processed by Dicer, prior or concurrently being dephosphorylated by an unknown triphosphatase activity [120]. Then, one strand of the miRNA duplex associates with an Argonaute (Ago) protein to form the RISC complex and mediates gene silencing.

Roles of the BLV miRNAs

Previous reports have demonstrated that the region now called miRNA cluster is dispensable for BLV infectivity [121, 122]. However, an accumulating number of reports now demonstrates that the miRNA cluster is important for viral replication and/or oncogenesis [117, 118, 123,124,125,126]. Indeed, sequence conservation analyzes from different BLV strains have revealed a high conservation rate of the miRNA cluster, particularly the promoter elements (A-box, B-box and terminator) and the seed region (nt 2–7 of the mature miRNA) that targets RNA [118, 127]. Moreover, RNA-sequencing assays performed on primary ovine and bovine pre-leukemic and malignant B cells have revealed the high expression of BLV miRNAs, which can reach up to 40% of total cellular miRNAs [117, 118, 123, 124]. Also, BLV miRNAs are detected at high levels in the serum of infected animals, pointing out potential paracrine roles [125, 128]. All these elements suggest that BLV miRNAs might play important roles in retroviral cycle and/or disease development. Indeed, sheep experimentally infected with BLV provirus deleted for the miRNA cluster (∆miRNA) have shown a lack of tumorigenesis compared to the wild-type sheep, which have developed tumors ~ 22 months post-infection [125, 126]. Consistently, RNA-seq analysis has revealed the deregulation of several biological pathways such as inflammatory response, immunity, cell signaling and proliferation, as demonstrated by the higher proliferation rate of B lymphocytes in BLV wild-type infected animals compared to the BLV ∆miRNA-infected animals [126]. In the bovine species, evaluation of the role of miRNA in tumoral development would take decades, due to the long latency period and the low rate of oncogenesis (5%) [1]. However, proviral load is a good prediction marker of pathogenesis [126] and cattle experimentally infected with BLV ∆miRNA have shown a lower proviral load than animals infected with the wild-type BLV, suggesting that tumoral development will be decreased in BLV ∆miRNA-infected animals [125]. In this study and similar to what is observed in sheep, RNA-seq from PBMCs extracted from BLV wild-type- or ∆miRNA-infected calves have revealed that BLV miRNAs modulate the expression of genes involved in immune response, cell signaling, apoptosis and oncogenesis [125]. Functional in vitro reporter assays have confirmed that some of these downregulated genes such as GZMA, FOS and PPT1 are directly targeted by one BLV mature miRNA, the blv-miR-B4-3p [125]. Blv-miR-B4-3p shares seed sequence similarities with the host miRNA miR-29a, which is known to downregulate the expression of two tumor suppressor genes, the genes coding for the HMG-box transcription factor 1 (HBP1) [129] and for the peroxidasin homolog (PXDN) [130], in B-cell tumors. In vitro reporter assays have shown that these two genes were also directly downregulated by blv-miR-B4-3p [131]; however, these results were not confirmed in bovines experimentally infected with BLV [125]. Nonetheless, in a recent study analyzing the expression of hbp1 and pxdn by RT-qPCR in the context of bovines naturally infected with BLV, Petersen and colleagues have observed a downregulation of pxdn compared to uninfected animals [132]. Apart for blv-miR-B4-3p, detailed analysis of the targets of each individual BLV mature miRNA has not been performed but could provide important insights into the role of BLV-induced tumorigenesis.

Regulation of miRNA expression

In contrast to the extensively analyzed regulation of RNAPII transcription, RNAPIII transcriptional regulation is considerably less understood in detail, although generally considered as simpler. Unlike RNAPII genes, RNAPIII activity does not seem to be regulated by transcription factors binding to DNA sequences upstream or downstream from the promoters elements. However, recruitment of the transcription factors essential for RNAPIII assembly is directly impacted by several factors, such as p53, Rb, Maf1 or Myc, or by epigenetic mechanisms such as histone acetylation, histone methylation and DNA CpG methylation [133, 134].

Although most BLV miRNAs are highly expressed in both pre-leukemic and malignant BLV-infected B cells [118] and correlate with proviral load [123], little is known about their expression throughout the development of the disease, starting from the infection. Only one report in the context of BLV-infected ovine B cell lines has demonstrated that the miRNA cluster is associated with the presence of activating epigenetic marks, as well as the absence of repressive histone marks and methylated CpG dinucleotides, in agreement with the high expression of the BLV miRNAs [98].

3ʹLTR RNAPII-dependent antisense transcription

Transcription from the 3’LTR in opposite orientation of the transcription initiated from the 5’LTR promoter, hereafter called antisense transcription, is now considered as a common theme amongst retroviruses [135] such as HIV-1 [136], HTLV-1 [44] and more recently BLV [137]. Indeed, by RNA-seq analysis of total RNA extracted from BLV-infected ovine and bovine samples, Durkin et al. [137] have identified antisense transcripts originating from the 3ʹLTR, despite the latency affecting the 5ʹLTR. More precisely, three antisense spliced transcripts have been identified (Fig. 1). The first and most abundant antisense transcript (AS1-S) is a ~ 600 bp spliced transcript that can be extended by alternative polyadenylation in a second longer transcript of ~ 2200 bp overlapping the miRNA cluster, called AS1-L [137]. For both AS1-S and AS1-L transcripts, canonical AAUAAA polyadenylation signal sequence (PAS) is found. However, there is no downstream classical GU-rich consensus sequence. Moreover, polyadenylation is not confined to a single region but located across various locations in a region of ~ 60 bp. The third antisense transcript (AS2) is a ~ 400 bp transcript generated by alternative splicing that does not show, in the majority of the cases, evidence of polyA tail. Instead, AS2 uses integration site-dependent host splice acceptor sites to form virus-host fusion transcripts [137].

3ʹLTR RNAPII antisense promoter

Unlike the BLV 5ʹLTR promoter, the 3’LTR is a TATA-less promoter that initiates transcription at multiple transcription start sites [137]. Indeed, 5ʹ rapid amplification of cDNA ends (5ʹRACE) assays followed by high-throughput sequencing has identified several transcription start sites: one in the R region (nt + 8380) and one in the U5 region (nt + 8438) of the 3ʹLTR, responsible for the initiation of ~ 25% and ~ 45% of antisense transcripts, respectively [137]. By in silico search of core promoter motifs and mutagenesis of reporter constructs, our laboratory has functionally identified a combination of core promoter elements, a TFIIB-Recognition Element (BRE) (GGGCGCC) and an overlapping Motif Ten Element (MTE) (CAAGCCAGACGC)/Downstream Promoter Element (DPE) (AGACG) as highly important for BLV antisense transcription (Fig. 1) [98]. Other less critical cis-regulatory elements have been identified through similar approaches of reporter constructs, such as the previously identified IRF and E-box4 motifs located in the U5 and R regions, respectively [137]. Also, CTCF seems to positively regulate the 3ʹLTR antisense promoter activity, as abolition of its recruitment to the binding site located at the U5 region drastically reduces BLV antisense transcriptional activity [70]. On the contrary, cis-regulatory elements negatively regulating antisense transcription also exist, as deletion of the U3 region in the 3ʹLTR results in an increase in antisense promoter activity. However, the precise contribution of each regulatory element located in the U3 region is still unknown [137]. Finally, the role of the viral transactivator Tax protein on 3ʹLTR antisense promoter activity is still unclear. Indeed, Tax has been shown to transactivate antisense transcription in the context of a 3ʹLTR reporter construct transfected in the human B cell line Raji [98], while the opposite effect has been observed by another group when a similar reporter construct is transfected into the HeLa cell line [137]. Also, RNA-seq quantification of BLV antisense transcripts has revealed broadly similar expression levels in BLV latently-infected B cell lines compared to the levels observed in their reactivated counterparts following overexpression of Tax, suggesting that, unlike for the 5’LTR, Tax does not transactivate the BLV 3’LTR antisense promoter activity in vivo.

Role of BLV antisense transcripts

Precise function of BLV AS1-S, AS1-L and AS2 antisense transcripts is currently unknown. Although the presence of a potential open reading frame has been described for AS1-S and AS1-L [137], experimental evidence for the expression of a protein is still lacking. Alternatively, high-throughput sequencing of nuclear versus cytoplasmic RNA fractions has revealed that antisense transcripts are mainly localized in the nucleus, suggesting a potential role of long non-coding RNA (lncRNA). In the HTLV-1 retrovirus, it has been shown that the antisense transcript HBZ, also mainly localized in the nucleus [138], supports proliferation of infected T cells by upregulating host genes implicated in cell cycle progression and survival, such as the surviving gene [139, 140]. More recently, HBZ transcript has been shown to inhibit 5ʹLTR promoter activity by directly interacting with the LTR, resulting in the displacement of the basal RNAPII transcriptional machinery [141]. Due to the close biological and structural similarities between both the BLV and HTLV-1 retroviruses, this suggests that BLV antisense transcripts may support similar functions as HBZ transcripts. Moreover, antisense transcription itself, rather than antisense transcripts or the potentially translated proteins, has been suggested to take part in BLV-induced tumorigenesis [142]. Indeed, stranded RNA-seq analysis of bovine and ovine B-cell tumors has identified the presence of fusion transcripts between AS1-L or AS2 and the host cell genome, resulting in the alteration of the transcribed host genes [142]. Similar observations have been reported in the context of HTLV-1 [142, 143].

Regulation of BLV antisense transcripts expression

Compared to the BLV sense transcripts, viral antisense transcripts are constitutively expressed, albeit at low level, in ovine and bovine PBMCs either at the asymptomatic or leukemic stages of infection and their expression is correlated with the viral load [137, 142]. Moreover, ChIP-qPCR experiments in the BLV latently-infected cell lines L267 and YR2 and in ovine PBMCs have revealed that the 3’LTR promoter is associated with the presence of activating histone marks, in agreement with the constitutive 3ʹLTR promoter activity [70, 98]. However, the proportion of each transcript is not similar, with AS1-S being the most expressed, and AS2 the less expressed [137]. Interestingly, by a modified 5’RACE assay, AS1-L has been shown to be cleaved by several BLV miRNAs (mainly miR-B1-3p, miR-B4-3p, miR-B2-5p and miR-B2-3p) in the cytoplasm [137]. However, the importance of this cleavage in the regulation of the proportion of AS1 transcripts is uncertain, as the majority of the transcripts does not overlap the miRNA cluster (and is thus not subjected to cleavage) and is nuclear [137]. Instead, a mechanism of transcriptional interference between the RNAPII and RNAPIII complexes transcribing convergently from the 3ʹLTR and the miRNA cluster respectively, has been suggested to regulate the proportion of antisense transcripts [98, 137].


In the present review, we highlighted the different factors regulating BLV genome expression, from cis-regulatory elements present in each BLV promoter to epigenetic modifications regulating the chromatin status of the provirus. Taking all these factors and regulations into account, we propose a model for the reactivation of the BLV 5’LTR promoter from the latency state (Fig. 2). During latency, the fraction of infected B cells containing replication-competent BLV proviruses is maintained transcriptionally silent due to a globally repressive epigenetic environment, which includes: (i) the presence of a nucleosome near the transcription start site, (ii) DNA methylation at different CpG positions, and (iii) hypoacetylation of the histone tails due to the presence of HDAC1 and mSin3a on the E-boxes located in the TxREs (Fig. 2A). Separately or in combination, these epigenetic features characterize a closed chromatin conformation which favors the repression of BLV gene expression. During chronic infection, BLV-infected cells are mainly latent, however, BLV spontaneous reactivation has been previously reported in cattle chronically infected by BLV [61]. The external stimuli involved in BLV reactivation still need to be identified but might be induced by stress, as suggested by Jaworski and colleagues [61]. In the case of HTLV-1, changes in glucose and oxygen concentrations were reported to induce viral reactivation [144] and might thus constitute factors involved in BLV reactivation. These external stimuli, as well as epigenetic drugs, could lead to the activation of the B-cell receptor or other cellular pathways resulting in the sequential action of a cascade of transcription factors involved in BLV reactivation. Through the ability of PU.1 to bind DNA motifs despite a relatively close chromatin environment, the macrophage-specific and B cell-specific pioneer transcription factor PU.1 [54, 145] could participate to the eviction of the repressive nucleosome [146] located downstream of the transcription start site [147], thereby opening the chromatin (Fig. 2B). Once the chromatin opened, IRFs, USFs, HSF1 and CREB/ATF factors could be recruited to the BLV promoter, thereby initiating transcription. The acetyltransferases CBP and p300 could be recruited by either PU.1 [148, 149], or the weakly bound CREB/ATF factors, reinforcing the open chromatin state by acetylating the H3 and H4 histone tails. As transcription is initiated, the first molecules of Tax are produced inducing transactivation of the BLV promoter mainly through interaction of Tax with the CREB/ATF factors increasing their binding affinity to the TxREs and subsequently strong expression of BLV genes (Fig. 2C).

Fig. 2
figure 2

Model of BLV 5ʹLTR latency and transcriptional activation. A During latency, the BLV 5ʹLTR promoter activity is repressed by genetic (not shown) and epigenetic mechanisms. These epigenetic mechanisms include the hypermethylation of the DNA and the hypoacetylation of the histone tails due to the recruitment of the histone deacetylase 1 (HDAC1) and the co-repressor mSin3A. B Transcriptional initiation might occur by external stimuli or the use of epigenetic drugs. The pioneer transcription factor PU.1 could participate in the opening of the chromatin, increasing the accessibility of cis-regulatory elements to other transcription factors such as IRFs, USFs and CREB/ATF factors and the associated co-activators CBP/p300. C Once the transcription is initiated, the viral transactivator Tax is produced and directly interacts with CREB/ATF factors increasing their binding affinity for the Tax-responsive elements (TxREs), thereby resulting in strong expression of the viral genes

As described in this review, numerous factors are involved in BLV latency and understanding the precise molecular mechanisms and pathways impacting viral expression is important to develop appropriate antiviral therapies. Indeed, developing latency reversing agents would stimulate viral expression and the immune clearance of infected cells. Several DNA demethylating agents and HDACis have been shown to induce BLV transcription in latently-infected cell lines [38, 92, 93] and thus could constitute promising candidates for potential future therapeutic strategies against BLV. In particular, one of the HDACis used in these studies, valproate, has been tested in vivo and has been shown to efficiently reduce the viral load and BLV-induced leukemia in sheep [91]. However, the infection could not be eradicated and development of chemoresistance has been observed [91, 150]. As the need of a treatment is thus still present, several epigenetic drugs reported to be used in cancer therapies [151] could be tested for BLV infection. Importantly, one chemical compound could not be sufficient to eradicate BLV, suggesting that combinatory approaches could improve the therapeutic potential, as previously reported by our laboratory for HIV-1 [152]. Since the HDACi valproate has exhibited great promises for BLV reactivation, it should be tested in combination with DNA methylation inhibitors or other non-epigenetic compounds targeting the mechanisms involved in BLV gene regulation. Alternatively to latency reversing agents, a unique report has identified violaceoid E as a compound repressing BLV expression and host proto-oncogenes by interfering with the transactivating function of Tax [153]. Although the antiviral effects were not strong and were only studied in ex vivo cell cultures, the therapeutic potential of violaceoid E should be further investigated. However, these latency reversing agents might be too expensive for an application at large-scale and could thus be more specifically use in countries with low BLV prevalence or for the selection of valuable cattle breeds.

Compared to other well studied retroviruses such as HIV-1 [154] and HTLV-1 [155], a limited number of cis-acting elements have been identified in the BLV promoter region, suggesting the existence of additional cis-regulatory elements that need to be identified in the BLV genome. In addition, as reported by Pluta et al. mutations in the BLV LTR occur naturally in BLV-infected cattle and lead to the formation of putative binding sites such as the MYC-associated zinc finger protein (MAZ) site [156]. Therefore, further studies are required to identify potential important cis-regulatory elements involved in BLV transcriptional regulation. Moreover, the role of most factors identified so far has been determined using cellular models, such as reporter constructs that, although remaining highly valuable for mechanistic studies, do not recapitulate the complexity of the natural host. Therefore, future research focusing on the function of each factor should be performed in more physiologically relevant models of BLV infection such as BLV-infected cell lines and ultimately in the context of the sheep experimental model or the natural host. The ability of studying BLV infection in the context of its natural host should be further exploited to increase our understanding of BLV gene expression regulation and pathogenesis in vivo and hopefully to translate the promising findings to the closely related retrovirus HTLV-1.


(See Table 1)

Table 1 Characteristics of the genomic elements presented in Fig. 1. Genomic coordinates are given relative to the YR2 proviral genome (GenBank KT122858.1). Genomic coordinates in italic are given for the 3’LTR. Nucleotides in bold indicate differences between mature miRNA sequences described in [118] and those in the online database miRBase (

Availability of data and materials

Not applicable.







5ʹ rapid amplification of cDNA Ends


Activated B-cell factor 1




Activator protein-1


Enhancer-binding protein 4


Activating transcription factor


Bovine leukemia virus


TFIIB-recognition element


Basic-region leucine zipper


CCAAT/enhancer binding protein


Calcium/calmodulin-dependent kinase


Cyclic adenosine monophosphate


CREB binding protein


Chromatin immunoprecipitation


CAMP-response element


CRE-binding protein


CRE modulator


CCCTC binding factor


Downstream activator sequence


DNA methyltransferase


Downstream promoter element


Glutamic acid


Enhancer box


Enzootic bovine leukosis


Electrophoretic mobility shift assays


General control non-repressed 5 protein-related N-acetyltransferases


Glucocorticoid response element


Histone acetyltransferase


High mobility group box transcription factor 1


Histone deacetylase


HDAC inhibitor


Histone demethylase


Histone methyltransferase


Heat shock element


Heat shock factor 1


Interferon regulatory factork lysine


Long non-coding RNA


Long terminal repeat




Max dimerization protein 1


Max dimerization protein 4


Mitogen-activated protein kinase


MYC associated factor X


MYC-associated zinc finger protein




Mammalian SIN3 transcription regulator family member A


Motif Ten Element


Named for its founding members MOZ, YBF2/SAS3, SAS2, and Tip60


Sodium butyrate


Nuclear factor of activated T-cells


Positive-transcription elongation factor b


Polyadenylation signal sequence


Peripheral blood mononuclear cells


Protein kinase A


Protein kinase C


Phorbol-12-myristate 13-acetate




RNA-induced silencing complex


RNA polymerase


TATA-box binding protein




Trichostatin A


Tax-responsive element


Upstream stimulatory factor 1


Upstream stimulatory factor 2




  1. Willems L, Burny A, Collete D, Dangoisse O, Dequiedt F, Gatot JS, et al. Genetic determinants of bovine leukemia virus pathogenesis. AIDS Res Hum Retroviruses. 2000;16(16):1787–95.

    Article  CAS  PubMed  Google Scholar 

  2. Gillet N, Florins A, Boxus M, Burteau C, Nigro A, Vandermeers F, et al. Mechanisms of leukemogenesis induced by bovine leukemia virus: prospects for novel anti-retroviral therapies in human. Retrovirology. 2007;4:18.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Tsutsui T, Kobayashi S, Hayama Y, Yamamoto T. Fraction of bovine leukemia virus-infected dairy cattle developing enzootic bovine leukosis. Prev Vet Med. 2016;1(124):96–101.

    Article  Google Scholar 

  4. Burny A, Cleuter Y, Kettmann R, Mammerickx M, Marbaix G, Portetelle D, et al. Bovine leukaemia: facts and hypotheses derived from the study of an infectious cancer. Vet Microbiol. 1988;17(3):197–218.

    Article  CAS  PubMed  Google Scholar 

  5. Olson C, Miller L, Miller J, Hoss HE. Transmission of lymphosarcoma from cattle to sheep. Natl Cancer Inst. 1972;49(5):1463–7.

    CAS  Google Scholar 

  6. Kenyon S, Ferrer J, McFeely R, Graves DC. Induction of lymphosarcoma in sheep by bovine leukemia virus. J Natl Cancer Inst. 1981;67(5):1157–63.

    CAS  PubMed  Google Scholar 

  7. Djilali S, Parodi AL. The BLV-induced leukemia-lymphosarcoma complex in sheep. Vet Immunol Immunopathol. 1989;22(3):233–44.

    Article  CAS  PubMed  Google Scholar 

  8. Mammerickx M, Portetelle D, de Clercq K, Burny A. Experimental transmission of enzootic bovine leukosis to cattle, sheep and goats: infectious doses of blood and incubation period of the disease. Leuk Res. 1987;11(4):353–8.

    Article  CAS  PubMed  Google Scholar 

  9. Djilali S, Parodi AL, Levy D, Cockerell GL. Development of leukemia and lymphosarcoma induced by bovine leukemia virus in sheep: a hematopathological study. Leukemia. 1987;1(11):777–81.

    CAS  PubMed  Google Scholar 

  10. Porta NG, Alvarez I, Suarez Archilla G, Ruiz V, Abdala A, Trono K. Experimental infection of sheep with Bovine leukemia virus (BLV): Minimum dose of BLV-FLK cells and cell-free BLV and neutralization activity of natural antibodies. Rev Argent Microbiol. 2019;51(4):316–23.

    PubMed  Google Scholar 

  11. Bartlett PC, Norby B, Byrem TM, Parmelee A, Ledergerber JT, Erskine RJ. Bovine leukemia virus and cow longevity in Michigan dairy herds. J Dairy Sci mars. 2013;96(3):1591–7.

    Article  CAS  Google Scholar 

  12. Bartlett PC, Ruggiero VJ, Hutchinson HC, Droscha CJ, Norby B, Sporer KRB, et al. Current developments in the epidemiology and control of enzootic bovine leukosis as caused by bovine leukemia virus. Pathogens: Multidisciplinary Digital Publishing Institute; 2020.

    Book  Google Scholar 

  13. White TL, Moore DA. Food for thought for food animal veterinarians. J Am Vet Med Assoc. 2009;235(8):937–41.

    Article  PubMed  Google Scholar 

  14. Bartlett P, Sordillo LM, Byrem TM, Norby B, Grooms DL, Swenson CL, et al. Options for the control of bovine leukemia virus in dairy cattle. J Am Vet Med Assoc. 2014;244(8):914–22.

    Article  PubMed  Google Scholar 

  15. Nekouei O, VanLeeuwen J, Stryhn H, Kelton D, Keefe G. Lifetime effects of infection with bovine leukemia virus on longevity and milk production of dairy cows. Prev Vet Med. 2016;1(133):1–9.

    Article  Google Scholar 

  16. Achachi A, Florins A, Gillet N, Debacq C, Urbain P, Foutsop GM, et al. Valproate activates bovine leukemia virus gene expression, triggers apoptosis, and induces leukemia/lymphoma regression in vivo. Proc Natl Acad Sci USA. 2005;102(29):10309–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Gutiérrez G, Rodríguez SM, De Brogniez A, Gillet N, Golime R, Burny A, et al. Vaccination against δ-retroviruses: the bovine leukemia virus paradigm. Viruses. 2014.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Rodríguez SM, Florins A, Gillet N, de Brogniez A, Sánchez-Alcaraz MT, Boxus M, et al. Preventive and therapeutic strategies for bovine leukemia virus: lessons for HTLV. Viruses. 2011;3(7):1210–48.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Juliarena MA, Barrios CN, Lützelschwab CM, Esteban EN, Gutiérrez SE. Bovine leukemia virus current perspectives virus adaptation and treatment. New Jersey: Dove Press; 2017.

    Google Scholar 

  20. Abdala A, Alvarez I, Brossel H, Calvinho L, Carignano H, Franco L, et al. BLV: Lessons on vaccine development Retrovirology. BioMed Central. 2019.

    Article  Google Scholar 

  21. Suárez Archilla G, Gutiérrez G, Camussone C, Calvinho L, Abdala A, Alvarez I, et al. A safe and effective vaccine against bovine leukemia virus. Front Immunol. 2022;13: 980514.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Gillet N, Gutiérrez G, Rodriguez SM, de Brogniez A, Renotte N, Alvarez I, et al. Massive depletion of bovine leukemia virus proviral clones located in genomic transcriptionally active sites during primary infection. PLoS Pathog. 2013;9(10):1003687.

    Article  Google Scholar 

  23. Derse D, Casey JW. Two Elements in the Bovine Leukemia Virus Long Terminal Repeat That Regulate Gene Expression. Science. 1986;231(4744):1437–40.

    Article  CAS  PubMed  Google Scholar 

  24. Katoh I, Yoshinaka Y, Ikawa Y. Bovine leukemia virus trans-activator p38tax activates heterologous promoters with a common sequence known as a cAMP-responsive element or the binding site of a cellular transcription factor ATF. EMBO J févr. 1989;8(2):497–503.

    Article  CAS  Google Scholar 

  25. Xiao J, Buehring GC. In vivo protein binding and functional analysis of cis-acting elements in the U3 region of the bovine leukemia virus long terminal repeat. J Virol juill. 1998;72(7):5994–6003.

    Article  CAS  Google Scholar 

  26. Rosen CA, Sodroski JG, Kettman R, Burny A, Haseltine WA. Trans activation of the bovine leukemia virus long terminal repeat in BLV-infected cells. Science. 1985;227(4684):320–2.

    Article  CAS  PubMed  Google Scholar 

  27. Rosen CA, Sodroski JG, Kettman R, Haseltine WA. Activation of enhancer sequences in type II human T-cell leukemia virus and bovine leukemia virus long terminal repeats by virus-associated trans-acting regulatory factors. J Virol mars. 1986;57(3):738–44.

    Article  CAS  Google Scholar 

  28. Derse D. Bovine leukemia virus transcription is controlled by a virus-encoded trans-acting factor and by cis-acting response elements. J Virol. 1987;61(8):2462–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Kiss-Toth E, Paca-uccaralertkun S, Unk I, Boros I. Member of the CREB/ATF protein family, but not CREB alpha plays an active role in BLV tax trans activation in vivo. Nucleic Acids Res. 1993;21(16):3677–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Alberini CM. Transcription Factors in Long-Term Memory and Synaptic Plasticity. Physiol Rev. 2009;89(1):121–45.

    Article  CAS  PubMed  Google Scholar 

  31. D’Auria F, Pietro R. Role of CREB protein family members in human haematological. Malignancies. 2013.

    Article  Google Scholar 

  32. Mayr B, Mayr MM, Montminy B. Transcriptional regulation by the phosphorylation-dependent factor CREB. Nat Rew Mol Cell Biol. 2000;2:599–609.

    Article  Google Scholar 

  33. Willems L, Kettmann R, Chen G, Portetelle D, Burny A, Derse D. A cyclic AMP-responsive DNA-binding protein (CREB2) is a cellular transactivator of the bovine leukemia virus long terminal repeat. J Virol. 1992;66(2):766–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Adam E, Kerkhofs P, Mammerickx M, Kettmann R, Burny A, Droogmans L, et al. Involvement of the cyclic AMP-responsive element binding protein in bovine leukemia virus expression in vivo. J Virol. 1994;68(9):5845–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Adam E, Kerkhofs P, Mammerickx M, Burny A, Kettmann R, Willems L. The CREB, ATF-1, and ATF-2 transcription factors from bovine leukemia virus-infected B lymphocytes activate viral expression. J Virol. 1996;70(3):1990–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Nguyên TLA, de Walque S, Veithen E, Dekoninck A, Martinelli V, de Launoit Y, et al. Transcriptional regulation of the bovine leukemia virus promoter by the cyclic AMP-response element modulator τ Isoform. J Biol Chem. 2007;282(29):20854–67.

    Article  PubMed  Google Scholar 

  37. Nguyên TLA, Calomme C, Wijmeersch G, Nizet S, Veithen E, Portetelle D, et al. Deacetylase inhibitors and the viral transactivator TaxBLV synergistically activate bovine leukemia virus gene expression via a cAMP-responsive element- and cAMP-responsive element-binding protein-dependent mechanism. J Biol Chem. 2004;279(33):35025–36.

    Article  PubMed  Google Scholar 

  38. Pierard V, Guiguen A, Colin L, Wijmeersch G, Vanhulle C, Driessche BV, et al. DNA cytosine methylation in the bovine leukemia virus promoter is associated with latency in a lymphoma-derived B-cell line: potential involvement of direct inhibition of cAMP-responsive element (CRE)-binding protein/CRE modulator/activation transcription factor binding. J Biol Chem. 2010;285(25):19434–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Van den Broeke A, Bagnis C, Ciesiolka M, Cleuter Y, Gelderblom H, Kerkhofs P, et al. In vivo rescue of a silent tax-deficient bovine leukemia virus from a tumor-derived ovine B-cell line by recombination with a retrovirally transduced wild-type tax gene. J Virol. 1999;73(2):1054–65.

    Article  PubMed  Google Scholar 

  40. Calomme C, Dekoninck A, Nizet S, Adam E, Nguyên TLA, Van Den Broeke A, et al. Overlapping CRE and E box motifs in the enhancer sequences of the bovine leukemia virus 5′ long terminal repeat are critical for basal and acetylation-dependent transcriptional activity of the viral promoter: implications for viral latency. J Virol déc. 2004;78(24):13848–64.

    Article  CAS  Google Scholar 

  41. Merezak C, Pierreux C, Adam E, Lemaigre F, Rousseau GG, Calomme C, et al. Suboptimal Enhancer sequences are required for efficient bovine leukemia virus propagation in vivo: implications for viral latency. J Virol août. 2001;75(15):6977–88.

    Article  CAS  Google Scholar 

  42. Boros IM, Tie F, Giam CZ. Interaction of bovine leukemia virus transactivator tax with bzip proteins. Virology. 1995;214(1):207–14.

    Article  CAS  PubMed  Google Scholar 

  43. Willems L, Chen G, Portetelle D, Mamoun R, Burny A, Kettmann R. Structural and functional characterization of mutants of the bovine leukemia virus transactivator protein p34. Virology. 1989;171(2):615–8.

    Article  CAS  PubMed  Google Scholar 

  44. Matsuoka M, Mesnard JM. HTLV-1 bZIP factor: the key viral gene for pathogenesis retrovirology. BioMed Central. 2020;17:1–8.

    Google Scholar 

  45. Stankov K, Bogdanovic G, Stankov S, Draskovic D, Grubor-Lajsic G, Spasic M, et al. Expression analysis of genes involved in apoptosis, proliferation and endoplasmic reticulum stress in ionomycin/PMA treated jurkat cells. J BUON Off J Balk Union Oncol. 2012;17(2):369–76.

    CAS  Google Scholar 

  46. de Martin X, Sodaei R, Santpere G. Mechanisms of binding specificity among bHLH transcription factors. Int J Mol Sci. 2021;22(17):9150.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Massari ME, Murre C. Helix-loop-helix proteins: regulators of transcription in eucaryotic organisms. Mol Cell Biol janv. 2000;20(2):429–40.

    Article  CAS  Google Scholar 

  48. Unk I, Kiss-Toth E, Boros I. Transcription factor AP-4 participates in activation of bovine leukemia virus long terminal repeat by p34 Tax. Nucleic Acids Res. 1994;25(23):4872–5.

    Article  Google Scholar 

  49. Dekoninck A, Calomme C, Nizet S, de Launoit Y, Burny A, Ghysdael J, et al. Identification and characterization of a PU 1/Spi-B binding site in the bovine leukemia virus long terminal repeat. Oncogene. 2003;22(19):2882.

    Article  CAS  PubMed  Google Scholar 

  50. Klemsz MJ, McKercher SR, Celada A, Beveren CV, Maki RA. The macrophage and B cell-specific transcription factor PU 1 Is related to the ets oncogene. Cell. 1990;61:113–24.

    Article  CAS  PubMed  Google Scholar 

  51. Colin L, Dekoninck A, Reichert M, Calao M, Merimi M, Van Den Broeke A, et al. Chromatin disruption in the promoter of bovine leukemia Virus during transcriptional activation. Nucleic Acids Res déc. 2011;39(22):9559–73.

    Article  CAS  Google Scholar 

  52. Carotta S, Dakic A, D’Amico A, Pang SHM, Greig KT, Nutt SL, et al. The transcription factor PU 1 controls dendritic cell development and Flt3 cytokine receptor expression in a dose-dependent manner. Immunity. 2010;32(5):628–41.

    Article  CAS  PubMed  Google Scholar 

  53. Heinz S, Benner C, Spann N, Bertolino E, Lin YC, Laslo P, et al. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol Cell. 2010;38(4):576–89.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Ungerbäck J, Hosokawa H, Wang X, Strid T, Williams BA, Sigvardsson M, et al. Pioneering, chromatin remodeling, and epigenetic constraint in early T-cell gene regulation by SPI1 (PU 1). Genome Res. 2018;28(10):1508–19.

    Article  PubMed  PubMed Central  Google Scholar 

  55. McAndrew MJ, Gjidoda A, Tagore M, Miksanek T, Floer M. Chromatin remodeler recruitment during macrophage differentiation facilitates transcription factor binding to enhancers in mature cells. J Biol Chem. 2016;291(35):18058–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Brooks PA, Nyborg JK, Cockerell GL. Identification of an NF-kappa B binding site in the bovine leukemia virus promoter. J Virol. 1995;69(10):6005–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Pincus D. Regulation of Hsf1 and the Heat Shock Response. In: Mendillo ML, Pincus D, Scherz-Shouval R, editors. HSF1 and molecular chaperones in biology and cancer. Cham: Springer International Publishing; 2020.

    Google Scholar 

  58. Hachiya Y, Oguma K, Koshida T, Koba R, Sentsui H. Transcriptional activation of long terminal repeat of bovine leukemia virus by bovine heat shock factor 1. Virus Res. 2019;269:197641.

    Article  CAS  PubMed  Google Scholar 

  59. Bloom JC, Kenyon SJ, Gabuzda TG. Glucocorticoid effects on peripheral blood lymphocytes in cows infected with bovine leukemia virus. Blood mai. 1979;53(5):899–912.

    Article  CAS  Google Scholar 

  60. Niermann GL, Buehring GC. Hormone regulation of bovine leukemia virus via the long terminal repeat. Virology. 1977;239(2):249–58.

    Article  Google Scholar 

  61. Jaworski JP, Petersen MI, Carignano HA, Trono KG. Spontaneous virus reactivation in cattle chronically infected with bovine leukemia virus. BMC Vet Res 2019.

  62. Kiss-Tóth E, Unk I. A downstream regulatory element activates the bovine leukemia virus promoter. Biochem Biophys Res Commun. 1994;202(3):1553–61.

    Article  PubMed  Google Scholar 

  63. Calomme C, Nguyên TLA, de Launoit Y, Kiermer V, Droogmans L, Burny A, et al. Upstream stimulatory factors binding to an E Box Motif in the R region of the bovine leukemia virus long terminal repeat stimulates viral gene expression. J Biol Chem. 2002;77(11):8775–89.

    Article  Google Scholar 

  64. Kiermer V, Van Lint C, Briclet D, Vanhulle C, Kettmann R, Verdin E, et al. An interferon regulatory factor binding site in the U5 region of the bovine leukemia virus long terminal repeat stimulates tax-independent gene expression. J Virol. 1998;72(7):5526–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Xiang JF, Corces VG. Regulation of 3D chromatin organization by CTCF. Curr Opin Genet Dev avr. 2021;67:33–40.

    Article  CAS  Google Scholar 

  66. Holwerda SJB, de Laat W. CTCF: the protein, the binding partners, the binding sites and their chromatin loops. Philos Trans R Soc Lond B Biol Sci. 2013;368(1620):20120369.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Phillips JE, Corces VG. CTCF: Master weaver of the genome. Cell. 2009;137(7):1194–211.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Merkenschlager M, Nora EP. CTCF and cohesin in genome folding and transcriptional gene regulation. Annu Rev Genom Hum Genet. 2016;17(1):17–43.

    Article  CAS  Google Scholar 

  69. Braccioli L, de Wit E. CTCF: a Swiss-army knife for genome organization and transcription regulation. Essays Biochem. 2019;63(1):157–65.

    Article  CAS  PubMed  Google Scholar 

  70. Bellefroid M, Rodari A, Galais M, Krijger P, Nestola L, Plant E, et al. Implication of the cellular factor CTCF in the regulation of bovine leukemia virus latency and tridimensional chromatin organization. bioRxiv. 2021;8(28):457911.

    Google Scholar 

  71. Cutter AR, Hayes JJ. A brief review of nucleosome structure FEBS letters. Hoboken: John Wiley and Sons Ltd; 2015.

    Google Scholar 

  72. Li B, Carey M, Workman JL. The role of chromatin during Transcription. Amsterdam: Elsevier; 2007.

    Book  Google Scholar 

  73. Venkatesh S, Workman JL. Histone exchange, chromatin structure and the regulation of transcription. Nature Rev Mol Cell Biol. 2015;165:178–89.

    Article  Google Scholar 

  74. Murakami Y. Heterochromatin and euchromatin encyclopedia of systems biology. New York: Springer; 2013. p. 881–4.

    Book  Google Scholar 

  75. Struhl K, Segal E. Determinants of nucleosome positioning. Nat Struct Mol Biol mars. 2013;20(3):267–73.

    Article  CAS  Google Scholar 

  76. Verdikt R, Hernalsteens O, Van Lint C. Epigenetic mechanisms of HIV-1 persistence. Vaccines. 2021;9(5):514.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Kouzarides T. Chromatin modifications and their function. Cell. 2007;128:693–705.

    Article  CAS  PubMed  Google Scholar 

  78. Bannister AJ, Kouzarides T. Regulation of chromatin by histone modifications cell research. Londan: Nature Publishing Group; 2011.

    Google Scholar 

  79. Barnes CE, English DM, Cowley SM. Acetylation & Co: an expanding repertoire of histone acylations regulates chromatin and transcription. Essays Biochem. 2019;63:97–107.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. Berger SL. The complex language of chromatin regulation during transcription Nature. Londan: Nature Publishing Group; 2007.

    Google Scholar 

  81. Allfrey VG, Faulkner R, Mirsky AE. Acetylation and methylation of histones and their possible role in the regulation of RNA synthesis. Proc Natl Acad Sci USA. 1964;51:786–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Sanchez R, Zhou MM. The role of human bromodomains in chromatin biology and gene transcription current opinion in drug discovery and development. NIH Publ Access. 2009;12:659–65.

    CAS  Google Scholar 

  83. Fujisawa T, Filippakopoulos P. Functions of bromodomain-containing proteins and their roles in homeostasis and cancer. Nature Rev Mol Cell Biol. 2017.

    Article  Google Scholar 

  84. Jang M, Mochizuki K, Zhou M, Jeong HS, Brady JN, Ozato K. The bromodomain protein Brd4 is a positive regulatory component of P-TEFb and stimulates RNA polymerase II-dependent transcription. Mol Cell. 2005;19(4):523–34.

    Article  CAS  PubMed  Google Scholar 

  85. Yang Z, Yik JHN, Chen R, He N, Moon KJ, Ozato K, et al. Recruitment of P-TEFb for stimulation of transcriptional elongation by the bromodomain protein Brd4. Mol Cell. 2005;19(4):535–45.

    Article  CAS  PubMed  Google Scholar 

  86. Yang XJ, Seto E. HATs and HDACs: from structure, function and regulation to novel strategies for therapy and prevention. Oncogene. 2007;26:5310–8.

    Article  CAS  PubMed  Google Scholar 

  87. Xia C, Tao Y, Li M, Che T, Qu J. Protein acetylation and deacetylation: an important regulatory modification in gene transcription (Review). Exp Ther Med. 2020;20(4):2923–40.

    CAS  PubMed  PubMed Central  Google Scholar 

  88. Hodawadekar SC, Marmorstein R. Chemistry of acetyl transfer by histone modifying enzymes: structure, mechanism and implications for effector design oncogene. Nature Publ Group. 2007;26:5528–40.

    CAS  Google Scholar 

  89. Seto E, Yoshida M. Erasers of histone acetylation: the histone deacetylase enzymes. Cold Spring Harb Perspect Biol. 2014.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Merezak C, Reichert M, Van Lint C, Kerkhofs P, Portetelle D, Willems L, et al. Inhibition of histone deacetylases induces bovine leukemia virus expression in vitro and in vivo. J Virol mai. 2002;76(10):5034–42.

    Article  CAS  Google Scholar 

  91. Achachi A, Florins A, Gillet N, Debacq C, Urbain P, Foutsop GM, et al. Valproate activates bovine leukemia virus gene expression, triggers apoptosis, and induces leukemia/lymphoma regression in vivo. Proc Natl Acad Sci. 2005;102(29):10309–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Nguyên TLA, Calomme C, Wijmeersch G, Nizet S, Veithen E, Portetelle D, et al. Deacetylase inhibitors and the viral transactivator TaxBLV synergistically activate bovine leukemia virus gene expression via a cAMP-responsive element- and cAMP-responsive element-binding protein-dependent mechanism. J Biol Chem. 2004;279(33):35025–36.

    Article  PubMed  Google Scholar 

  93. Merimi M, Klener P, Szynal M, Cleuter Y, Kerkhofs P, Burny A, et al. Suppression of viral gene expression in bovine leukemia virus-associated B-cell malignancy: interplay of epigenetic modifications leading to chromatin with a repressive histone code. J Virol juin. 2007;81(11):5929–39.

    Article  CAS  Google Scholar 

  94. Jambhekar A, Dhall A, Shi Y. Roles and regulation of histone methylation in animal development nature reviews molecular cell biology. Londan: Nature Publishing Group; 2019.

    Google Scholar 

  95. Bernstein BE, Humphrey EL, Erlich RL, Schneider R, Bouman P, Liu JS, et al. Methylation of histone H3 Lys 4 in coding regions of active genes. Proc Natl Acad Sci USA. 2002;99(13):8695–700.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Heintzman ND, Stuart RK, Hon G, Fu Y, Ching CW, Hawkins RD, et al. Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nat Genet. 2007;39(3):311–8.

    Article  CAS  PubMed  Google Scholar 

  97. Hyun K, Jeon J, Park K, Kim J. Writing, erasing and reading histone lysine methylations. Nature Publ Group Experim Mol Med. 2017.

    Article  Google Scholar 

  98. VanDriessche B, Rodari A, Delacourt N, Fauquenoy S, Vanhulle C, Burny A, et al. Characterization of new RNA polymerase III and RNA polymerase II transcriptional promoters in the bovine leukemia virus genome. Sci Rep. 2016;6:31125.

    Article  CAS  Google Scholar 

  99. Moore LD, Le T, Fan G. DNA methylation and its basic function Neuropsychopharmacol. Off Publ Am Coll Neuropsychopharmacol. 2013;38(1):23–38.

    Article  CAS  Google Scholar 

  100. Hermann A, Gowher H, Jeltsch A. Biochemistry and biology of mammalian DNA methyltransferases. Cell Mol Life Sci CMLS. 2004;61(19):2571–87.

    Article  CAS  PubMed  Google Scholar 

  101. Hervouet E, Peixoto P, Delage-Mourroux R, Boyer-Guittaut M, Cartron PF. Specific or not specific recruitment of DNMTs for DNA methylation, an epigenetic dilemma. Clin Epigen. 2018;10(1):17.

    Article  Google Scholar 

  102. Lyko F. The DNA methyltransferase family: a versatile toolkit for epigenetic regulation. Nat Rev Genet févr. 2018;19(2):81–92.

    Article  CAS  Google Scholar 

  103. Fuks F, Hurd PJ, Wolf D, Nan X, Bird AP, Kouzarides T. The Methyl-CpG-binding Protein MeCP2 Links DNA Methylation to Histone Methylation. J Biol Chem. 2003;278(6):4035–40.

    Article  CAS  PubMed  Google Scholar 

  104. Jones PL, Veenstra GCJ, Wade PA, Vermaak D, Kass SU, Landsberger N, et al. Methylated DNA and MeCP2 recruit histone deacetylase to repress transcription. Nat Genet juin. 1998;19(2):187.

    Article  CAS  Google Scholar 

  105. Nan X, Ng HH, Johnson CA, Laherty CD, Turner BM, Eisenman RN, et al. Transcriptional repression by the methyl-CpG-binding protein MeCP2 involves a histone deacetylase complex. Nature mai. 1998;393(6683):386.

    Article  CAS  Google Scholar 

  106. Kettmann R, Cleuter Y, Gregoire D, Burny A. Role of the 3’ long open reading frame region of bovine leukemia virus in the maintenance of cell transformation. J Virol juin. 1985;54(3):899–901.

    Article  CAS  Google Scholar 

  107. Van den Broeke A, Cleuter Y, Chen G, Portetelle D, Mammerickx M, Zagury D, et al. Even transcriptionally competent proviruses are silent in bovine leukemia virus-induced sheep tumor cells. Proc Natl Acad Sci USA. 1988;85(23):9263–7.

    Article  PubMed  PubMed Central  Google Scholar 

  108. Tajima S, Tsukamoto M, Aida Y. Latency of Viral expression in vivo is not related to CpG methylation in the U3 region and part of the R region of the long terminal repeat of bovine leukemia virus. J Virol avr. 2003;77(7):4423–30.

    Article  CAS  Google Scholar 

  109. Kashmiri SVS, Mehdi R, Gupta P, Ferrer JF. Methylation and Expression of Bovine Leukemia Proviral DNA. Biochem Biophys Res Commun. 31 mai 1985;129(1):126‑33.

  110. Bartel DP. MicroRNAs genomics, biogenesis mechanism, and function. Cell. 2004;116(2):281–97.

    Article  CAS  PubMed  Google Scholar 

  111. Bartel DP. MicroRNAs: target recognition and regulatory functions. Cell. 2009;136(2):215–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  112. Kincaid RP, Sullivan CS. Virus-encoded microRNAs: an overview and a look to the future. PLoS Pathog déc. 2012;8(12): e1003018.

    Article  CAS  Google Scholar 

  113. Mishra R, Kumar A, Ingle H, Kumar H. The interplay between viral-derived miRNAs and host immunity during infection Frontiers in Immunology. Frontiers. 2020;10:3079.

    Google Scholar 

  114. Nanbo A, Furuyama W, Lin Z. RNA virus-encoded miRNAs: current insights and future challenges. Frontiers Microbiol. 2021.

    Article  Google Scholar 

  115. Treiber T, Treiber N, Meister G. Regulation of microRNA biogenesis and its crosstalk with other cellular pathways nature reviews molecular cell biology. Nature Publ Group. 2019;20:5–20.

    CAS  Google Scholar 

  116. Miyoshi K, Miyoshi T, Siomi H. Many ways to generate microRNA-like small RNAs: non-canonical pathways for microRNA production molecular genetics and Genomics. Mol Genet Genom. 2010;284:95–103.

    Article  CAS  Google Scholar 

  117. Kincaid RP, Burke JM, Sullivan CS. RNA virus microRNA that mimics a B-cell oncomiR. Proc Natl Acad Sci USA. 2012;109(8):3077–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  118. Rosewick N, Momont M, Durkin K, Takeda H, Caiment F, Cleuter Y. Deep sequencing reveals abundant noncanonical retroviral microRNAs in B-cell leukemia/lymphoma. PNAS. 2013;110(6):2306–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  119. Arimbasseri AG, Maraia RJ. RNA polymerase III advances: structural and tRNA functional views. Trends Biochem Sci. 2016;110:546–59.

    Article  Google Scholar 

  120. Burke JM, Bass CR, Kincaid RP, Sullivan CS. Identification of tri-phosphatase activity in the biogenesis of retroviral microRNAs and RNAP III-generated shRNAs. Nucleic Acids Res. 2014;42(22):13949–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  121. Willems L, Portetelle D, Kerkhofs P, Chen G, Burny A, Mammerickx M, et al. In vivo transfection of bovine leukemia provirus into sheep. Virology. 1992;189(2):775–7.

    Article  CAS  PubMed  Google Scholar 

  122. Florins A, Gillet N, Boxus M, Kerkhofs P, Kettmann R, Willems L. Even attenuated bovine leukemia virus proviruses can be pathogenic in sheep. J Virol. 2007;81(18):10195.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  123. Frie MC, Droscha CJ, Greenlick AE, Coussens PM. MicroRNAs encoded by bovine leukemia virus (BLV) are associated with reduced expression of B cell transcriptional regulators in dairy cattle naturally infected with BLV. Front Vet Sci. 2018;4:245.

    Article  PubMed  PubMed Central  Google Scholar 

  124. Ochiai C, Miyauchi S, Kudo Y, Naruke Y, Yoneyama S, Tomita K, et al. Characterization of microRNA expression in B cells derived from Japanese black cattle naturally infected with bovine leukemia virus by deep sequencing Donadeu FX éditeur. PLoS One. 2021;16(9):e0256588.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  125. Gillet NA, Hamaidia M, de Brogniez A, Gutiérrez G, Renotte N, Reichert M, et al. Bovine leukemia virus small noncoding RNAs are functional elements that regulate replication and contribute to oncogenesis in vivo. PLoS Pathog. 2016;12(4):1005588.

    Article  Google Scholar 

  126. Safari R, Jacques JR, Brostaux Y, Willems L. Ablation of non-coding RNAs affects bovine leukemia virus B lymphocyte proliferation and abrogates oncogenesis cullen BR éditeur. PLOS Pathog. 2020;16(5):e1008502.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  127. Pluta A, Blazhko NV, Ngirande C, Joris T, Willems L, Kuźmak J. Analysis of nucleotide sequence of tax, mirna and ltr of bovine leukemia virus in cattle with different levels of persistent lymphocytosis in Russia. Pathogens. 2021;10(2):1–21.

    Article  Google Scholar 

  128. Casas E, Ma H, Lippolis JD. Expression of Viral microRNAs in Serum and White Blood Cells of Cows Exposed to Bovine Leukemia Virus. Front Vet Sci. 2020;0:677.

    Google Scholar 

  129. Han YC, Park CY, Bhagat G, Zhang J, Wang Y, Fan JB, et al. microRNA-29a induces aberrant self-renewal capacity in hematopoietic progenitors, biased myeloid development, and acute myeloid leukemia. J Exp Med. 2010;207(3):475–89.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  130. Santanam U, Zanesi N, Efanov A, Costinean S, Palamarchuk A, Hagan JP, et al. Chronic lymphocytic leukemia modeled in mouse by targeted miR-29 expression. Proc Natl Acad Sci USA. 2010;107(27):12210–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  131. Kincaid RP, Burke JM, Sullivan CS. RNA virus microRNA that mimics a B-cell oncomiR. Proc Natl Acad Sci. 2012;109(8):3077.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  132. Petersen MI, Carignano HA, Mongini C, Gonzalez DD, Jaworski JP. Bovine leukemia virus encoded blv-miR-b4–3p microRNA is associated with reduced expression of anti-oncogenic gene in vivo. PLOS ONE. 2023;18(2):0281317.

    Article  Google Scholar 

  133. Turowski TW, Tollervey D. Transcription by RNA polymerase III: Insights into mechanism and regulation. Biochem Soc Trans. 2016;44(5):1367–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  134. Park JL, Lee YS, Kunkeaw N, Kim SY, Kim IH, Lee YS. Epigenetic regulation of noncoding RNA transcription by mammalian RNA polymerase III epigenomics. London: Future Medicine Ltd; 2017.

    Google Scholar 

  135. Manghera M, Magnusson A, Douville RN. The sense behind retroviral anti-sense transcription. Virol J. 2017.

    Article  PubMed  PubMed Central  Google Scholar 

  136. Savoret J, Mesnard JM, Gross A, Chazal N. Antisense transcripts and antisense protein: a new perspective on human immunodeficiency virus type 1. Frontiers. 2021.

    Article  Google Scholar 

  137. Durkin K, Rosewick N, Artesi M, Hahaut V, Griebel P, Arsic N, et al. Characterization of novel Bovine Leukemia Virus (BLV) antisense transcripts by deep sequencing reveals constitutive expression in tumors and transcriptional interaction with viral microRNAs. Retrovirology. 2016;13(1):33.

    Article  PubMed  PubMed Central  Google Scholar 

  138. Rende F, Cavallari I, Corradin A, Silic-Benussi M, Toulza F, Toffolo GM, et al. Kinetics and intracellular compartmentalization of HTLV-1 gene expression nuclear retention of HBZ mRNAs. Blood. 2011;117(18):4855.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  139. Satou Y, Yasunaga JI, Yoshida M, Matsuoka M. HTLV-I basic leucine zipper factor gene mRNA supports proliferation of adult T cell leukemia cells. Proc Natl Acad Sci USA. 2006;1103(3):720–5.

    Article  Google Scholar 

  140. Mitobe Y, Yasunaga JI, Furuta R, Matsuoka M. HTLV-1 bZIP Factor RNA and protein impart distinct functions on t-cell proliferation and survival. Cancer Res. 2015;75(19):4143–52.

    Article  CAS  PubMed  Google Scholar 

  141. Gazon H, Chauhan PS, Porquet F, Hoffmann GB, Accolla R, Willems L. Epigenetic silencing of HTLV-1 expression by the HBZ RNA through interference with the basal transcription machinery. Blood Adv. 2020;4(21):5574–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  142. Rosewick N, Durkin K, Artesi M, Marçais A, Hahaut V, Griebel P, et al. Cis-perturbation of cancer drivers by the HTLV-1/BLV proviruses is an early determinant of leukemogenesis. Nat Commun. 2017;8(1):1–15.

    Article  Google Scholar 

  143. Kataoka K, Nagata Y, Kitanaka A, Shiraishi Y, Shimamura T, Yasunaga JI, et al. Integrated molecular analysis of adult T cell leukemia/lymphoma. Nat Genet. 2015;47(11):1304–15.

    Article  CAS  PubMed  Google Scholar 

  144. Kulkarni A, Mateus M, Thinnes CC, McCullagh JS, Schofield CJ, Taylor GP, et al. Glucose metabolism and oxygen availability govern reactivation of the latent human retrovirus HTLV-1. Cell Chem Biol. 2017;24(11):1377–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  145. Troutman TD, Kofman E, Glass CK. Exploiting dynamic enhancer landscapes to decode macrophage and microglia phenotypes in health and disease. Mol Cell. 2021;81(19):3888–903.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  146. Barozzi I, Simonatto M, Bonifacio S, Yang L, Rohs R, Ghisletti S, et al. Coregulation of transcription factor binding and nucleosome occupancy through DNA features of mammalian enhancers. Mol Cell. 2014;54(5):844–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  147. Colin L, Dekoninck A, Reichert M, Calao M, Merimi M, Van Den Broeke A, et al. Chromatin disruption in the promoter of bovine leukemia virus during transcriptional activation. Nucleic Acids Res. 2011;39(22):9559–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  148. Yamamoto H, Kihara-Negishi F, Yamada T, Hashimoto Y, Oikawa T. Physical and functional interactions between the transcription factor PU 1 and the coactivator CBP. Oncogene Févr. 1999;18(7):1495–501.

    Article  CAS  Google Scholar 

  149. Bai Y, Srinivasan L, Perkins L, Atchison ML. Protein acetylation regulates both PU 1 transactivation and Igκ 3′ enhancer activity. J Immunol. 2005;175(8):5160–9.

    Article  CAS  PubMed  Google Scholar 

  150. Gillet N, Vandermeers F, de Brogniez A, Florins A, Nigro A, François C, et al. Chemoresistance to valproate treatment of bovine leukemia virus-infected sheep identification of improved HDAC inhibitors. Pathogens. 2012;1(2):65–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  151. Zhong L, Li Y, Xiong L, Wang W, Wu M, Yuan T, et al. Small molecules in targeted cancer therapy: advances, challenges, and future perspectives. Signal Transduct Target Ther. 2021;6(1):1–48.

    Google Scholar 

  152. Hokello J, Sharma AL, Tyagi M. Combinatorial use of both epigenetic and non-epigenetic mechanisms to efficiently reactivate HIV latency. Int J Mol Sci janv. 2021;22(7):3697.

    Article  CAS  Google Scholar 

  153. Murakami H, Murakami-Kawai M, Kamisuki S, Hisanobu S, Tsurukawa Y, Uchiyama J, et al. Specific antiviral effect of violaceoid E on bovine leukemia virus. Virology. 2021;1(562):1–8.

    Article  Google Scholar 

  154. Dutilleul A, Rodari A, Van Lint C. Depicting HIV-1 transcriptional mechanisms a summary of what we know. Viruses. 2020.

    Article  PubMed  PubMed Central  Google Scholar 

  155. Pluta A, Jaworski JP, Douville RN. Regulation of expression and latency in BLV and HTLV. Viruses. 2020;12(10):1079.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  156. Pluta A, Willems L, Douville RN, Kuźmak J. Effects of naturally occurring mutations in bovine leukemia virus 5′-LTR and tax gene on viral transcriptional activity. Pathogens. 2020;9(10):836.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references


CVL acknowledges funding from the Belgian National Fund for Scientific Research (F.R.S-FNRS, Belgium); the « Télévie» program of the F.R.S.-FNRS; the « Fondation Roi Baudouin»; the Internationale Brachet Stiftung (IBS); the Walloon Region (« Fonds de Maturation»); The « Amis des Instituts Pasteur à Bruxelles», asbl.; the University of Brussels (ULB—Action de Recherche Concertée (ARC) grant); the French INSERM agency « ANRS/Maladies infectieuses émergentes» (France); and the « Crédit de Recherches» grant of the F.R.S.-FNRS [J.0021.17]. The laboratory of CVL is part of the ULB-Cancer Research Centre (U-CRC). EP is a doctoral fellow from the « Télévie» program of the F.R.S.-FNRS and next from the « Fondation Rose et Jean Hoguet». MB is a doctoral fellow from the Belgian « Fonds pour la formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA)». CVL is « Directeur de Recherches» of the F.R.S-FNRS.

Author information

Authors and Affiliations



EP, MB and CVL wrote the paper EP and MB contributed to writing original draft with guidance from CVL. EP and MB prepared the figures. All authors read and approved the final maunscript.

Corresponding author

Correspondence to Carine Van Lint.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent to participate

Not applicable.

Competing interests

Despite being Associate Editor for Retrovirology and Guest Editor for the thematic series entitled “The multifaceted regulation of transcription in animal and human retroviruses, endogenous retroviruses”, the corresponding author Carine Van Lint declares to have had no implications in any steps that could have influenced the publication procedure.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Plant, E., Bellefroid, M. & Van Lint, C. A complex network of transcription factors and epigenetic regulators involved in bovine leukemia virus transcriptional regulation. Retrovirology 20, 11 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: