- Open Access
Microarray study reveals that HIV-1 induces rapid type-I interferon-dependent p53 mRNA up-regulation in human primary CD4+T cells
© Imbeault et al; licensee BioMed Central Ltd. 2009
- Received: 19 December 2008
- Accepted: 15 January 2009
- Published: 15 January 2009
Infection with HIV-1 has been shown to alter expression of a large array of host cell genes. However, previous studies aimed at investigating the putative HIV-1-induced modulation of host gene expression have been mostly performed in established human cell lines. To better approximate natural conditions, we monitored gene expression changes in a cell population highly enriched in human primary CD4+ T lymphocytes exposed to HIV-1 using commercial oligonucleotide microarrays from Affymetrix.
We report here that HIV-1 influences expression of genes related to many important biological processes such as DNA repair, cellular cycle, RNA metabolism and apoptosis. Notably, expression of the p53 tumor suppressor and genes involved in p53 homeostasis such as GADD34 were up-regulated by HIV-1 at the mRNA level. This observation is distinct from the previously reported p53 phosphorylation and stabilization at the protein level, which precedes HIV-1-induced apoptosis. We present evidence that the HIV-1-mediated increase in p53 gene expression is associated with virus-mediated induction of type-I interferon (i.e. IFN-α and IFN-β).
These observations have important implications for our understanding of HIV-1 pathogenesis, particularly in respect to the virus-induced depletion of CD4+ T cells.
- Host Gene Expression
- Human Primary Cell
- Infectious Molecular Clone
- Virus Infection Rate
- Study Cell Population
Infection by human immunodeficiency virus type-1 (HIV-1) is characterized by a progressive degradation of the human immune system, a condition better known as the acquired immunodeficiency syndrome (AIDS). The process by which this breakdown occurs has been the subject of intense research in the past few years. It appears that HIV-1 causes a slow but progressive death of CD4+ T lymphocytes, which are key players of the immune system that coordinate the humoral and cellular responses. However, the exact mechanism(s) leading to such a dramatic depletion of CD4+ T cells in vivo is not well understood, although it has been proposed that this phenomenon is multifactorial . It has been suggested that apoptosis or programmed cell death plays a dominant role in the observed HIV-1-mediated CD4+ T cell depletion. Recent studies have identified numerous viral components that can induce apoptosis via different pathways. Indeed, the viral proteins Tat , Nef , Vpr  and gp120  can all elicit apoptosis in CD4+ T lymphocytes, at least under in vitro conditions. Even if the actual relevance and in vivo impact of these studies remain to be established, it is clear that HIV-1 interactions with its host are complex and multifaceted.
New technologies are rapidly expanding our analytical power. Among the technical innovations developed in the past few years, cDNA and oligonucleotide microarrays have revolutionized the way we look at and understand gene expression, allowing the rapid quantification of thousands of genes at once in a given cell population. Recently, microarrays have been used by different groups to determine the effects of whole HIV-1 particles or single viral proteins (e.g. Tat  and Nef ) on CD4+ T lymphoid cell lines, monocytoid cell lines, primary astrocytes [8–11], primary macrophages  and jejunal biopsies . A comprehensive review of the 34 studies involving HIV-1 and microarrays in the 2000–2006 period is available . These studies yielded important data on HIV-1-mediated effects on gene expression, providing new insights into the intricate interactions occurring during infection. Nevertheless, there is still a paucity of data regarding the modifications in gene expression profiles induced by HIV-1 in human primary CD4+ T lymphocytes, a cell type considered as a major target for HIV-1. Only two recent studies have performed gene expression analyses in this major cell reservoir for HIV-1. A first analysis has compared the genetic profiles between viremic and aviremic HIV-1 positive individuals in a population of resting CD4+ T cells . More recently, an elegant study by Audigé and colleagues has examined the impact of HIV-1 infection on resting CD4+ T cells extracted from ex vivo tonsils . Consequently, we felt it was crucial to provide additional information on possible changes in early gene expression following exposure of activated human primary CD4+ T lymphocytes to HIV-1 particles. The rationale for such a study is provided by the idea that cell lines, which have often been preferred over primary cells for microarray studies involving HIV-1, are either cancerous or transformed by viral proteins, and can thus harbour numerous defects in multiple pathways compared to primary cells, notably in their apoptosis-related metabolism, cell cycle and DNA repair functions. We thus decided to run a small-scale study focusing on early transcriptional events following HIV-1 infection in activated primary CD4+ T cells isolated from peripheral blood.
We considered that focusing on early events following exposure to HIV-1 had the potential to yield the most interesting results as cell signalling events and gene expression changes can occur in just a few hours. Our goal was to identify a small set of regulated genes that could be confirmed by quantitative real-time PCR (qRT-PCR) and western blot analyses. Additionally, as our laboratory has extensively characterized the effect of ICAM-1 incorporation in the virus lipid bilayer [17–23], we investigated whether the presence of host-derived ICAM-1 onto HIV-1 would influence the virus-mediated changes in the transcriptional profiles. In the current work, results depicting the early gene modulation initiated by HIV-1 in a cell population highly enriched in CD4+ T lymphocytes using Affymetrix microarray technology are presented.
Peripheral blood was obtained from normal healthy donors and peripheral blood mononuclear cells (PBMCs) were prepared by centrifugation on a Ficoll-Hypaque density gradient. Next, a cell population highly enriched in CD4+ T cells was isolated through the use of the human CD4+ T Cell Isolation Kit II™ (Miltenyi Biotec, Auburn, CA) according to the manufacturer's instructions. Some experiments have also been performed with another negative selection kit designed for the purification of human CD4+ T cells (StemCell Technologies Inc., Vancouver, BC). The purity of the negatively selected cell population was estimated by quantifying the percentage of CD4-expressing cells. Next, cells were cultured at a concentration of 2 × 106/ml in complete RPMI-1640 medium (Invitrogen, Burlington, ON) supplemented with 10% fetal bovine serum (FBS) (Atlanta Biologicals, Norcross, GA), L-glutamine (2 mM), penicillin G (100 U/ml), streptomycin (100 μg/ml), phytohemagglutinin-L (1 μg/ml) and recombinant human IL-2 (30 U/ml) for 3 days at 37°C under a 5% CO2 atmosphere prior to virus infection. Human embryonic kidney 293T cells and .HEK-Blue™ IFN-α/β cells (InvivoGen, San Diego, CA) were maintained in Dulbecco's modified Eagle medium (Invitrogen) supplemented with 10% FBS, glutamine (2 mM), penicillin G (100 U/ml) and streptomycin (100 mg/ml). Culture media used for .HEK-Blue™ IFN-α/β cells was supplemented with 30 μg/ml of blasticidin and 100 μg/ml of Zeocin.
Production of virus stocks
Isogenic virus particles differing only by the absence or the presence of host-derived ICAM-1 proteins on their outer membranes were produced by calcium phosphate transfection in 293T cells using a commercial calcium phosphate co-precipitation kit according to the manufacturer's instructions (CalPhos Mammalian Transfection kit, Clontech Laboratories Inc., Palo Alto, CA). Briefly, parental 293T cells were transiently co-transfected with pNL4-3 (an infectious X4-tropic infectious molecular clone of HIV-1)  to produce viruses lacking host ICAM-1 (called NL4-3 wt). Moreover, 293T cells engineered to constitutively express a high level of ICAM-1 (i.e. 293T-ICAM-1)  were similarly transfected with pNL4-3 to produce ICAM-1-bearing viruses (called NL4-3 ICAM-1+). The NL4-3 vector was obtained from the NIH AIDS Repository Reagent Program (Germantown, MD). In some experiments, the percentage of cells productively infected with HIV-1 was estimated through the use of fully competent GFP-encoding viruses, which were produced by transfecting 293T and 293T-ICAM-1 cells with the infectious molecular clone NLENG1-IRES (NL4-3-based vector) (a generous gift from D.N. Levy, New York University, NY) . Cell-free supernatants from such transiently transfected cells were filtered through a 0.22-μm-pore-size cellulose acetate membrane (Millipore, Bedford, MA). To eliminate free p24, cell-free supernatants were treated using Centricon® Plus-20 Biomax-100 filter devices (Millipore Corporation) or ultracentrifugation. Finally, samples were aliquoted before storage at -85°C. A p24 antibody capture assay developed in our laboratory was used to normalize the p24 content in all viral preparations . All virus preparations underwent a single freeze-thaw cycle before initiation of infection studies.
Flow cytometry analyses were performed with a total of 106 cells that were incubated with 100 μl of PBS (pH 7.4) containing a saturating amount of a monoclonal anti-CD4 or anti-CD14 antibody for 30 min on ice. Thereafter, cells were treated with a pool of human serum for 30 min at 4°C and then washed with cold PBS, in order to block Fc receptors and non-specific sites. The cells were then labelled for 30 min at 4°C with 100 μl of a saturating amount of FITC-conjugated goat anti-mouse immunoglobulin G (Caltag, Invitrogen). Finally, cells were washed, fixed in 2% paraformaldehyde for 30 min and analyzed on a cytofluorometer (EPICS XL, Coulter Corp., Miami, FL).
A cell population highly enriched in CD4+ T cells was either left unexposed or exposed to NL4-3 particles either lacking (NL4-3 wt) or bearing host-derived ICAM-1 (NL4-3 ICAM-1+) for 8 and 24 h at 37°C. A virus input of 10 ng of p24 per 1 × 105 target cells was used in all studies. RNA samples from five healthy donors were pooled together to minimize experimental variations. Cell pellets were frozen at -80°C until isolation of total mRNA was performed using the RNeasy kit according to the manufacturer's protocol (Qiagen, Valencia, CA). All samples were processed at the same time and using the same kit. The RNA quality was controlled by electrophoresis on a denaturing gel as specified in the Affymetrix's protocol. Gene expression profiles were analyzed using commercial oligonucleotide microarrays (HGU95Av2 GeneChips, Affymetrix, Santa Clara, CA), which contain probe sets representing 12,627 transcripts. A total of six microarrays were used, i.e. mock-infected, infected with NL4-3, or infected with NL4-3 ICAM-1+ at 8 and 24 h post-infection. Affymetrix standard protocols were followed throughout these experiments. Data were globally normalized (target: 1000) and present calls were determined using MAS 5.0 (Microarray Suite v5.0, Affymetrix, Santa Clara, CA). Results were analyzed using GeneSpring 6.0 (Agilent Technologies, Santa Clara, CA). Signal intensity was normalized for each microarray and genes with a signal below 100 were ignored. Fold changes of two times the control and higher were considered as significant. GO overrepresentation analysis was performed with the GO Tree Machine software http://genereg.ornl.gov/gotm/ using the "interesting gene list vs reference gene list" setting against the affy_HG_U95AV2 reference list.
Primers sequences used for qRT-PCR analysis
ribosomal 18S sense
ribosomal 18S antisense
A cell population highly enriched in CD4+ T lymphocytes was either left unexposed or exposed to viruses lacking host-derived ICAM-1 (i.e. NL4-3 wt) for 24 and 48 h at 37°C. Thereafter, total cell extracts were heated at 100°C for 10 min in 1× sample buffer (62 mM Tris-HCl [pH 6.8], 2% SDS, 5% β-mercaptoethanol, 9% glycerol and 0.002% bromophenol blue) containing 1 mM PMSF. The samples were then electrophoresed on a 7.5 to 20% gradient sodium dodecyl sulfate-polyacrylamide gel and transferred to Immobilon polyvinylidene difluoride membranes (Millipore, Bedford, MA). Immunoblotting was performed using antibodies specific for p53 (clone DO-1, Santa Cruz Biotechnology, Santa Cruz, CA), GADD34 (goat polyclonal antibody, Serotec, Raleigh, NC), TNFRSF25 (rabbit polyclonal antibody DR3 Ab-2, Neomarkers, Fremont, CA) and β-actin (mouse monoclonal antibody, clone C-2, Santa Cruz Biotechnology). Membranes were labelled with horseradish peroxidase-conjugated secondary anti-rabbit or anti-mouse antibodies (Jackson ImmunoResearch, Mississauga, ON) at a 1:20,000 and 1:10,000 dilution, respectively. Signals were revealed using the ECL™ Western blotting detection reagent (Amersham, Piscataway, NJ). Densitometry analysis was performed using the freely available image analysis ImageJ software http://rsb.info.nih.gov/ij/.
Measurements of IFN-α/β and blocking experiments
Levels of interferon-α (IFN-α) and IFN-β in cell-free supernatants from the studied cell populations highly enriched in CD4+ T cells either unexposed or exposed to virus stocks were determined through the use of .HEK-Blue™ IFN-α/β cells according to the manufacturer's protocol (InvivoGen, San Diego, CA). Supernatants were collected at 1, 2, 4 and 6 h following virus exposure. Virus was added in a reverse time course and all supernatants were harvested simultaneously. A standard curve of IFN-α ranging from 1 to 1,000 Units/ml was used. In the neutralizing experiments, antibodies that can inhibit human IFN-α (MMHA-2 from PBL Interferon Source, Piscataway, NJ or ab9660 from Abcam, Cambridge, MA) and IFN-β (ab9662 from Abcam) were mixed together at equal concentrations (i.e. 1 μg/ml) and added simultaneously with viruses. Appropriate isotype-matched control antibodies were also used. After an incubation period of 24 h, total RNA was extracted and p53 and 18S mRNA levels were quantified by qRT-PCR as previously described.
Means were compared using the Student's test. P values of less than 0.05 were considered statistically significant. Microsoft Office Excel 2007 software was used for all statistical analyses.
Characterization of the studied cell population
HIV-1 infection rate is low in the studied cell population
We next considered that it was crucial to estimate virus infection rates in our samples in order to accurately interpret results we would obtain from the microarray data. To this end, recombinant reporter virions were used to quantify the percentage of cells productively infected with HIV-1 at 1, 2, 5 and 7 days post-infection. Fully competent eGFP-encoding virions were produced upon transient transfection of parental 293T cells (to produce viruses lacking ICAM-1) and 293T-ICAM-1 (to produce ICAM-1-bearing virions) with the NLENG1-IRES vector. This infectious molecular clone of HIV-1 contains an eGFP-IRES-Nef construct in place of the Nef open reading frame within the backbone of NL4-3 . Consequently, eGFP is expressed along with early genes, allowing for a rapid and precise quantification of the percentage of cells productively infected with HIV-1. Moreover, viruses produced by the NLENG1-IRES vector are fully infectious and express all viral genes, unlike previously described HIV-1 reporter constructs that are deficient in nef, vpr and/or env. Following exposure of the isolated cell population highly enriched in CD4+ T cells to the viral input used (i.e. 10 ng of p24 per 1 × 105 cells), we found that on average less than 10% of cells are expressing the virus-encoded reporter protein at 5 days post-infection when infection was allowed to proceed with viruses lacking host-derived ICAM-1 (i.e. NL4-3 wt) (Fig. 1B). As expected, the number of cells that are productively infected is enhanced when infection is performed with isogenic ICAM-1-bearing HIV-1 particles (i.e. NL4-3 ICAM-1+) resulting in more than 15% eGFP+ cells at five days post-infection. This observation is consistent with the reported increase in p24 production following infection with ICAM-1-bearing viruses . The viral infection rates that are seen following exposure to HIV-1 either lacking or bearing host-derived ICAM-1 are very low at the two time points studied in the microarray experiment (i.e. 8 and 24 h post-infection). Next, comparative analyses were made to evaluate the permissiveness of human CD4+ T lymphoid cells to the studied reporter viruses. To this end, Jurkat cells were exposed to a similar input of eGFP-encoding virions and the percentage of positive cells was monitored by flow cytometry. In sharp contrast to the situation prevailing in human primary CD4+ T cells, up to 50% of Jurkat cells were productively infected with HIV-1 at 5 days post-infection (data not shown).
HIV-1 rapidly modulates host gene expression
Multiple biological processes are affected by HIV-1
In order to identify the most dramatically affected biological pathways, we performed statistical Gene Ontology (GO) overrepresentation analysis on the microarray data. This technique identifies biological processes, molecular functions and cellular localization categories that contain a high proportion of modulated genes. This approach is useful for identifying the cellular processes that are the most affected by the tested stimuli and for pointing out biological areas that warrant further studies. A careful analysis revealed that many major biological processes were significantly affected by HIV-1 (P < 0.01). Among these, we found that apoptosis, DNA repair, cell cycle and RNA metabolism were the most influenced categories, as determined by the number of modulated genes. A per-category hierarchical cluster of the genes affected by HIV-1 in those categories is depicted in Fig. 2C.
p53 is transcriptionally up-regulated by HIV-1
Other attractive HIV-1-induced candidate genes include GADD34 (also called PP1R15A), which is indirectly involved in p53 regulation via PP1 [31, 32], and TNFRSF25, a cell surface receptor that carries a death domain. An increase in mRNA levels similar to microarray data was confirmed by qRT-PCR at 8 and 24 h post-infection for both GADD34 (2.25 fold increase at 8 h and 2.65 fold increase at 24 h) and TNFRSF25 (2.4 fold increase at 8 h and 3.61 fold increase at 24 h) (data not shown). Unfortunately, we could not assess the effect of HIV-1 on these genes at the protein level because the commercial anti-GADD34 and anti-TNFRSF25 antibodies we tested displayed a very weak specificity (data not shown). This severely impaired our ability to define their relevance in the context of HIV-1 infection. We intend to revisit these two candidates as soon as reliable antibodies are commercially available.
HIV-1-mediated up-regulation of p53 mRNA is associated with secretion of type-I IFN
In this study, we used Affymetrix oligonucleotide microarrays as a survey tool to obtain an overview of the transcriptional changes induced by HIV-1 in a population of human primary cells highly enriched in CD4+ T lymphocytes. We also attempted to determine whether the global gene expression pattern could be altered when target cells are interacting with virions bearing host-derived ICAM-1 on their surface as compared to isogenic viruses lacking this host molecule.
Experimental design in microarray studies essentially follows two different strategies. First, a replicate approach where each experimental condition can be biologically repeated multiple times and analyzed on multiple arrays. Second, the pooling approach where RNA from different experiments are combined together and assayed on one array for each condition in an effort to reduce the inherent biological variability. Ideally, the replicate strategy is preferred as it allows statistics to be used to identify significantly modulated genes, controlling and reducing the number of expected false positives. However, according to Pan and co-workers, the statistical power gained from very few replicates (i.e. less than 4) is negligible . For example, it was reported that no less than 4 to 8 replicates per experimental condition are necessary to obtain significant statistical power. Other studies have shown that RNA pooling is a valid alternative to biological replicates [35–37] and that this strategy can provide the same statistical power as the replicates approach  at a much reduced cost when appropriate precautions are taken (see Methods section). Therefore, we decided to use the pooling approach to study the HIV-1-mediated changes in gene expression profiles in a cell population highly enriched in CD4+ T cells. The statistical significance and validity of our findings are improved because results with the two virus stocks tested are very similar and can be considered as pseudo-replicates. Indeed, the virus-induced modulation of global gene expression profiles with virions either lacking or bearing host-derived ICAM-1 were found to be comparable.
Characterization of the studied cell subpopulation is crucial in microarray experiments. Ideally, the starting material needs to be as homogenous as possible to avoid a possible contamination with mRNAs from undesirable cells [39, 40]. In the present work, we used commercially available CD4+ T cells negative selection kits from Miltenyi Biotec and StemCell Technologies. A negative selection procedure was preferred to avoid any putative antibody-mediated signaling events. Although both manufacturers claim that the purity of the isolated cell population is high (i.e. > 95%), their recommended flow cytometry analysis to assess cell purity only makes use of an antibody against CD4, neglecting the fact that monocytic cells (CD14+) can also express a lower level of this cell surface marker. Furthermore, they used frozen-thawed PBMCs, a process that can be deleterious to some CD4-expressing cells such as dendritic cells and their precursors . In our hands, the vast majority of isolated cells were indeed positive for CD4 (i.e. > 96%), but a fraction (i.e. ranging from 5% up to 15% in some rare cases) also expressed CD14, a marker for cells of the monocytic lineage (e.g. monocytes). Although it is generally accepted that peripheral blood monocytes are not productively infected with HIV-1 , there is at least one report that monocytes can sustain low levels of HIV-1 replication in vivo . This cell type can also indirectly affect gene expression in CD4+ T cells through the production of soluble factors. It should also be specified that plasmacytoid dendritic cells are negative for CD14 but do express CD4. It is unclear whether these cells are present in the studied cell population since they represent a very small proportion of PBMCs (i.e. < 1%) but could have been enriched along with CD4+ T cells as they are not specifically targeted by antibodies of the negative selection kits we used. Interestingly, it has been shown that these cells can rapidly produce very large quantities of type-I IFN following exposure to HIV-1 [44, 45].
The virus infection rates seen under our experimental conditions were extremely low in primary human cells compared to Jurkat T lymphoid cells (i.e. at 8 and 24 h post-infection). It is possible that the presence of type-I IFN seen in our cell system could contribute to this low level of virus infection. Given the very low percentage of cells productively infected with HIV-1 and considering that there were minor differences in gene expression profiles following infection with NL4-3 wt and NL4-3 ICAM-1+, it would thus be unlikely that the observed modulation of host-cell gene expression is occurring exclusively in cells productively infected with HIV-1. Therefore, it can be proposed that the vast majority of alterations of the gene expression profiles seen in this study are most likely taking place in uninfected/bystander cells. One way to elucidate whether the differential gene expression pattern is seen in HIV-1-infected and/or uninfected/bystander cells would be to infect target cells with replication competent HIV-1 that would contain all viral genes but would code also for a distinctive cell surface molecule. This tool would allow isolation of cells productively infected with HIV-1 from bulk populations of cells and a large scale monitoring of host cell gene expression in both virus-infected and uninfected/bystander cells.
Analysis of modulated genes by a Gene Ontology-based approach revealed that several major pathways were affected by HIV-1 including apoptosis, RNA metabolism, DNA repair and cell cycle. Interestingly, Corbeil and colleagues concluded that HIV-1 affects expression of genes involved in DNA repair and apoptosis . They suggested that HIV-1 induces a DNA repair response following its integration that ultimately leads to p53 activation and caspase-dependent apoptosis. It has been established that activation of p53 relies on its phosphorylation . This activation results in induction of the pro-apoptotic factor Bax and depolarization of mitochondrial membranes, followed by caspase activation . However, they did not observe regulation of p53 at the mRNA level even if they reported an increase of p53 at the protein level following its phosphorylation. The fact that they used an established cell line (i.e. CEM-GFP) instead of primary human cells could account for the discrepant results. Although some established cell lines display a higher susceptibility to productive HIV-1 infection than primary human cells, the former can harbour multiples deficiencies in critical cellular pathways such as apoptosis, DNA repair or cell cycle regulation. Thus, it is difficult to compare our results with previous microarray studies involving HIV-1. Even for studies using primary cells, small differences in experimental setup or the source of cells (i.e. peripheral CD4+ T lymphocytes versus CD4+ T cells isolated from lymphoid organ) can account for discrepancies observed when such comparisons are made. Direct comparison with large-scale proteomic studies such as those published by Ringrose and Chan [49, 50] are even more problematic, as multiple layers of post-traductional and post-translational regulation likely come into play after mRNA modulation.
We focused our efforts on characterizing the up-regulation of p53 at the mRNA level, which is an uncommon phenomenon as the protein is highly regulated at the post-transcriptional level. Moreover, its transcriptional regulation was previously uncharacterized in the context of HIV-1. Our interest for p53 was prompted by the relatively high number of genes we found to be regulated by HIV-1 in the microarray experiment that interact with p53 either directly or indirectly, such as HIV-1 Tat interacting protein (HTATIP2), p300, GADD34 and TP53BP2. p53 is also known to interact directly or indirectly with several HIV-1 proteins such as Tat , Nef , reverse transcriptase  and Vpr . Some of these interactions can inhibit the function of p53 as a transcription factor, leading to a reduced sensitivity to apoptosis in infected cells, which can be considered as beneficial for the virus survival. On the other hand, the precise effect of p53 with respect to the viral promoter region is still unclear. Some reports claim that p53 is essential for efficient viral transcription [54, 55], while others suggest that p53 can negatively influence transcription from the viral promoter by inhibiting the transduction activity of Tat [56, 57].
The p53-related gene GADD34 was identified as another interesting candidate for future studies as GADD34 is a PP1 subunit that impairs p53 dephosphorylation . PP1 is one of the phosphatases responsible for dephosphorylating p53 , maintaining a delicate balance between survival and apoptosis. Therefore, an up-regulation of GADD34 might facilitate phosphorylation of p53, which will in turn promote apoptosis in CD4+ T cells. Another candidate of potential interest is TP53BP2, a p53-binding gene that codes for two distinct proteins through differential splicing, namely 53BP2S and 53BP2L (also known as ASPP2) . The biological significance of this differential splicing is not yet well characterized. Both isoforms can bind p53 , Bcl-2  and the p65 subunit of NF-κB . Interestingly, it appears that TP53BP2 can also bind PP1 and interferes with p53 dephosphorylation . However, the late discovery of the second isoform led to confusion and controversy about the biological role and molecular function of TP53BP2. It has been proposed that binding of TP53BP2 to p53 inhibits its potency as a pro-apoptotic transcription factor , while others have shown that overexpression of TP53BP2 results in apoptosis . Comprehensive studies on those two promising candidates were not carried out because commercial antibodies of good quality are not available. We plan to evaluate the role played by GADD34 and both isoforms of TP53BP2 in regard to HIV-1 and its relation with p53 in the near future.
An elegant study has documented a mechanism involved in transcriptional regulation of p53 that is mediated by type-I IFN in response to viruses . Moreover, a recent study has shown that p53 itself can positively regulate IFN-mediated signalling events and production from infected cells , adding further evidence of the importance of p53 in the antiviral response. Although the type-I IFN-mediated p53 mRNA induction has been characterized for many viruses, there is still no information with respect to the importance of this process in the pathobiology of HIV-1. Thus, we decided to assess the involvement of type-I IFN in the HIV-1-mediated up-regulation of p53 mRNA. Results showed induction of type-I IFN by HIV-1 in our cell culture system and a complete inhibition of the HIV-1-mediated increase in p53 gene expression in presence of a combination of blocking antibodies specific for type-I IFN (i.e. IFN-α and IFN-β). This clearly establishes a novel and direct link between p53, HIV-1 and type-I IFN. Such a mechanism constitutes an essential part of the antiviral immune response by increasing the intracellular pool of p53 mRNA in response to virus infection. This process is aimed at preventing the spread of infection by allowing a more rapid induction of apoptosis. It is important to note that an increase in p53 mRNA has no immediate effect on the total p53 protein levels as the latter is continuously degraded by the proteasome back to steady state levels. Indeed, an additional signal such as DNA damage is required to activate p53 by phosphorylation, causing its escape from HDM2-induced degradation and translocation to the nucleus where it can induce transcription of pro-apoptotic genes. This might help to explain the delay seen between the HIV-1-mediated induction of p53 expression at the mRNA and protein levels. Indeed, a 3 to 5-fold increase in p53 mRNA was detected as early as 8 h following HIV-1 infection while an induction of p53 at the protein level could be detected only after 24 to 48 h following exposure to HIV-1, depending on the donor. This suggests that post-translational control mechanisms such as HDM2-mediated ubiquitinylation and proteasome-dependent degradation of p53 at first counteract the increase at the mRNA level. It can be proposed that the type-I IFN-mediated induction of p53 mRNA serves to avoid an uncontrolled up-regulation of this protein in every single cell exposed to type-I IFN as this would lead to massive and indiscriminate induction of apoptosis. Instead, it can be postulated that an increase in p53 mRNA might prepare cells to undergo apoptosis rapidly would the presence of an incoming menace (such as HIV-1 or other retroviruses that can integrate within the host genome) materialize. Indeed, following exposure to type-I IFN, a faster apoptosis response in cells exposed to DNA damage would be triggered as the larger p53 mRNA pool would rapidly lead to more p53 protein. This would induce a stronger activation of pro-apoptotic genes once p53 escape the control of HDM2-mediated ubiquitinylation and proteasome-dependent degradation following its phosphorylation.
It has been reported that CD4+/CD14+ cells (e.g. monocytes) can produce type-I IFN in response to HIV-1 . Also, it has been shown that HIV-1 can cause massive type-I IFN production from plasmacytoid dendritic cells (PDCs) . It should be stated that this dendritic cell subtype is short-lived under in vitro conditions without the appropriate cytokines cocktail and constitutes a very low percentage of the total PBMCs (i.e. < 1%). However, in a study establishing a link between TRAIL induction and HIV-1, Audigé and colleagues identified that a minimal contamination of their CD4 population isolated from tonsils with PDCs (less than 0.5%) was sufficient to produce enough type-I IFN to induce a TRAIL-dependent apoptotic process . It is highly probable that a similar contamination is at least partly responsible for the presence of type-I IFN in our experimental system. It can thus be proposed that the observed type-I IFN secretion in the present study is due to contaminating monocytes and/or PDCs. In vivo, other cell types can produce type-I IFN in response to viruses and could contribute to the observed phenomenon.
The findings presented in this paper have implications in the context of the recently reported HIV-1-induced bacterial translocation. It has been proposed that HIV-1 permeabilizes the gut allowing for bacterial products such as lipopolysaccharide to circulate in the peripheral blood resulting in secretion of type-I IFN . This phenomenon could lead to a sustained increase in p53 mRNA levels and therefore to a higher susceptibility of CD4+ T cells to pro-apoptotic signals such as HIV-1-induced DNA damage.
In conclusion, we confirm that microarrays represent a useful tool for elucidating the molecular details of the complex interaction between HIV-1, its target cells and uninfected/bystander cells. We demonstrate that even small scale gene expression profiling can lead to a better comprehension of host-defence strategies, which is essential for the design of a new generation of therapeutic agents.
We thank Dr. Maurice Dufour for flow cytometry analyses and Ms. Sylvie Méthot for editorial assistance. This work was performed by M.I. in partial fulfillment of a Ph.D. degree from Laval University. M.I. holds a CIHR Doctoral Award and M.J.T. is the recipient of the Senior Canada Research Chair in Human Immuno-Retrovirology (senior level). This study was made possible through grants to M.J.T. from the Canadian Institutes of Health Research (CIHR) New Emerging Team Program (HSD-63191) and CIHR HIV/AIDS Program (grant #HOP-14438).
- Gil J, Bermejo M, Alcami J: HIV and apoptosis: a complex interaction between cell death and virus survival. Prog Mol Subcell Biol. 2004, 36: 117-149.View ArticlePubMedGoogle Scholar
- Bartz SR, Emerman M: Human immunodeficiency virus type 1 Tat induces apoptosis and increases sensitivity to apoptotic signals by up-regulating FLICE/caspase-8. J Virol. 1999, 73 (3): 1956-1963.PubMed CentralPubMedGoogle Scholar
- Zauli G, Gibellini D, Secchiero P, Dutartre H, Olive D, Capitani S, Collette Y: Human immunodeficiency virus type 1 Nef protein sensitizes CD4(+) T lymphoid cells to apoptosis via functional upregulation of the CD95/CD95 ligand pathway. Blood. 1999, 93 (3): 1000-1010.PubMedGoogle Scholar
- Muthumani K, Choo AY, Hwang DS, Chattergoon MA, Dayes NN, Zhang D, Lee MD, Duvvuri U, Weiner DB: Mechanism of HIV-1 viral protein R-induced apoptosis. Biochem Biophys Res Commun. 2003, 304 (3): 583-592. 10.1016/S0006-291X(03)00631-4.View ArticlePubMedGoogle Scholar
- Cottrez F, Manca F, Dalgleish AG, Arenzana-Seisdedos F, Capron A, Groux H: Priming of human CD4+ antigen-specific T cells to undergo apoptosis by HIV-infected monocytes. A two-step mechanism involving the gp120 molecule. J Clin Invest. 1997, 99 (2): 257-266. 10.1172/JCI119154.PubMed CentralView ArticlePubMedGoogle Scholar
- de la Fuente C, Santiago F, Deng L, Eadie C, Zilberman I, Kehn K, Maddukuri A, Baylor S, Wu K, Lee CG, Pumfery A, Kashanchi F: Gene expression profile of HIV-1 Tat expressing cells: a close interplay between proliferative and differentiation signals. BMC Biochem. 2002, 3: 14-10.1186/1471-2091-3-14.PubMed CentralView ArticlePubMedGoogle Scholar
- Shaheduzzaman S, Krishnan V, Petrovic A, Bittner M, Meltzer P, Trent J, Venkatesan S, Zeichner S: Effects of HIV-1 Nef on cellular gene expression profiles. J Biomed Sci. 2002, 9 (1): 82-96. 10.1007/BF02256581.View ArticlePubMedGoogle Scholar
- Galey D, Becker K, Haughey N, Kalehua A, Taub D, Woodward J, Mattson MP, Nath A: Differential transcriptional regulation by human immunodeficiency virus type 1 and gp120 in human astrocytes. J Neurovirol. 2003, 9 (3): 358-371. 10.1080/713831545.View ArticlePubMedGoogle Scholar
- Wang Z, Trillo-Pazos G, Kim SY, Canki M, Morgello S, Sharer LR, Gelbard HA, Su ZZ, Kang DC, Brooks AI, Fisher PB, Volsky DJ: Effects of human immunodeficiency virus type 1 on astrocyte gene expression and function: potential role in neuropathogenesis. J Neurovirol. 2004, 10 (Suppl 1): 25-32.View ArticlePubMedGoogle Scholar
- Kim SY, Li J, Bentsman G, Brooks AI, Volsky DJ: Microarray analysis of changes in cellular gene expression induced by productive infection of primary human astrocytes: implications for HAD. J Neuroimmunol. 2004, 157 (1–2): 17-26. 10.1016/j.jneuroim.2004.08.032.View ArticlePubMedGoogle Scholar
- Kramer-Hammerle S, Hahn A, Brack-Werner R, Werner T: Elucidating effects of long-term expression of HIV-1 Nef on astrocytes by microarray, promoter, and literature analyses. Gene. 2005, 358: 31-38. 10.1016/j.gene.2005.05.011.View ArticlePubMedGoogle Scholar
- Woelk CH, Ottones F, Plotkin CR, Du P, Royer CD, Rought SE, Lozach J, Sasik R, Kornbluth RS, Richman DD, Corbeil J: Interferon gene expression following HIV type 1 infection of monocyte-derived macrophages. AIDS Res Hum Retroviruses. 2004, 20 (11): 1210-1222. 10.1089/aid.2004.20.1210.View ArticlePubMedGoogle Scholar
- Guadalupe M, Reay E, Sankaran S, Prindiville T, Flamm J, McNeil A, Dandekar S: Severe CD4+ T-cell depletion in gut lymphoid tissue during primary human immunodeficiency virus type 1 infection and substantial delay in restoration following highly active antiretroviral therapy. J Virol. 2003, 77 (21): 11708-11717. 10.1128/JVI.77.21.11708-11717.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Giri MS, Nebozhyn M, Showe L, Montaner LJ: Microarray data on gene modulation by HIV-1 in immune cells: 2000–2006. J Leukoc Biol. 2006, 80 (5): 1031-1043. 10.1189/jlb.0306157.View ArticlePubMedGoogle Scholar
- Chun TW, Justement JS, Lempicki RA, Yang J, Dennis G, Hallahan CW, Sanford C, Pandya P, Liu S, McLaughlin M, Ehler LA, Moir S, Fauci AS: Gene expression and viral prodution in latently infected, resting CD4+ T cells in viremic versus aviremic HIV-infected individuals. Proc Natl Acad Sci USA. 2003, 100 (4): 1908-1913. 10.1073/pnas.0437640100.PubMed CentralView ArticlePubMedGoogle Scholar
- Audige A, Urosevic M, Schlaepfer E, Walker R, Powell D, Hallenberger S, Joller H, Simon HU, Dummer R, Speck RF: Anti-HIV state but not apoptosis depends on IFN signature in CD4+ T cells. J Immunol. 2006, 177 (9): 6227-6237.View ArticlePubMedGoogle Scholar
- Beausejour Y, Tremblay MJ: Susceptibility of HIV type 1 to the fusion inhibitor T-20 is reduced on insertion of host intercellular adhesion molecule 1 in the virus membrane. J Infect Dis. 2004, 190 (5): 894-902. 10.1086/422698.View ArticlePubMedGoogle Scholar
- Tardif MR, Tremblay MJ: Presence of host ICAM-1 in human immunodeficiency virus type 1 virions increases productive infection of CD4+ T lymphocytes by favoring cytosolic delivery of viral material. J Virol. 2003, 77 (22): 12299-12309. 10.1128/JVI.77.22.12299-12309.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Fortin JF, Cantin R, Lamontagne G, Tremblay M: Host-derived ICAM-1 glycoproteins incorporated on human immunodeficiency virus type 1 are biologically active and enhance viral infectivity. J Virol. 1997, 71 (5): 3588-3596.PubMed CentralPubMedGoogle Scholar
- Fortin JF, Cantin R, Tremblay MJ: T cells expressing activated LFA-1 are more susceptible to infection with human immunodeficiency virus type 1 particles bearing host-encoded ICAM-1. J Virol. 1998, 72 (3): 2105-2112.PubMed CentralPubMedGoogle Scholar
- Fortin JF, Barbeau B, Hedman H, Lundgren E, Tremblay MJ: Role of the leukocyte function antigen-1 conformational state in the process of human immunodeficiency virus type 1-mediated syncytium formation and virus infection. Virology. 1999, 257 (1): 228-238. 10.1006/viro.1999.9687.View ArticlePubMedGoogle Scholar
- Fortin JF, Cantin R, Bergeron MG, Tremblay MJ: Interaction between virion-bound host intercellular adhesion molecule-1 and the high-affinity state of lymphocyte function-associated antigen-1 on target cells renders R5 and X4 isolates of human immunodeficiency virus type 1 more refractory to neutralization. Virology. 2000, 268 (2): 493-503. 10.1006/viro.2000.0190.View ArticlePubMedGoogle Scholar
- Bounou S, Dumais N, Tremblay MJ: Attachment of human immunodeficiency virus-1 (HIV-1) particles bearing host-encoded B7-2 proteins leads to nuclear factor-kappa B- and nuclear factor of activated T cells-dependent activation of HIV-1 long terminal repeat transcription. J Biol Chem. 2001, 276 (9): 6359-6369. 10.1074/jbc.M002198200.View ArticlePubMedGoogle Scholar
- Adachi A, Gendelman HE, Koenig S, Folks T, Willey R, Rabson A, Martin MA: Production of acquired immunodeficiency syndrome-associated retrovirus in human and nonhuman cells transfected with an infectious molecular clone. J Virol. 1986, 59 (2): 284-291.PubMed CentralPubMedGoogle Scholar
- Paquette JS, Fortin JF, Blanchard L, Tremblay MJ: Level of ICAM-1 surface expression on virus producer cells influences both the amount of virion-bound host ICAM-1 and human immunodeficiency virus type 1 infectivity. J Virol. 1998, 72 (11): 9329-9336.PubMed CentralPubMedGoogle Scholar
- Kutsch O, Benveniste EN, Shaw GM, Levy DN: Direct and quantitative single-cell analysis of human immunodeficiency virus type 1 reactivation from latency. J Virol. 2002, 76 (17): 8776-8786. 10.1128/JVI.76.17.8776-8786.2002.PubMed CentralView ArticlePubMedGoogle Scholar
- Bounou S, Leclerc JE, Tremblay MJ: Presence of host ICAM-1 in laboratory and clinical strains of human immunodeficiency virus type 1 increases virus infectivity and CD4(+)-T-cell depletion in human lymphoid tissue, a major site of replication in vivo. J Virol. 2002, 76 (3): 1004-1014.PubMed CentralView ArticlePubMedGoogle Scholar
- Perfettini JL, Roumier T, Castedo M, Larochette N, Boya P, Raynal B, Lazar V, Ciccosanti F, Nardacci R, Penninger J, Piacentini M, Kroemer G: NF-kappaB and p53 are the dominant apoptosis-inducing transcription factors elicited by the HIV-1 envelope. J Exp Med. 2004, 199 (5): 629-640. 10.1084/jem.20031216.PubMed CentralView ArticlePubMedGoogle Scholar
- Cheah PL, Looi LM: p53: an overview of over two decades of study. Malays J Pathol. 2001, 23 (1): 9-16.PubMedGoogle Scholar
- Mosner J, Mummenbrauer T, Bauer C, Sczakiel G, Grosse F, Deppert W: Negative feedback regulation of wild-type p53 biosynthesis. Embo J. 1995, 14 (18): 4442-4449.PubMed CentralPubMedGoogle Scholar
- Haneda M, Kojima E, Nishikimi A, Hasegawa T, Nakashima I, Isobe K: Protein phosphatase 1, but not protein phosphatase 2A, dephosphorylates DNA-damaging stress-induced phospho-serine 15 of p53. FEBS Lett. 2004, 567 (2–3): 171-174. 10.1016/j.febslet.2004.04.066.View ArticlePubMedGoogle Scholar
- Yagi A, Hasegawa Y, Xiao H, Haneda M, Kojima E, Nishikimi A, Hasegawa T, Shimokata K, Isobe K: GADD34 induces p53 phosphorylation and p21/WAF1 transcription. J Cell Biochem. 2003, 90 (6): 1242-1249. 10.1002/jcb.10711.View ArticlePubMedGoogle Scholar
- Takaoka A, Hayakawa S, Yanai H, Stoiber D, Negishi H, Kikuchi H, Sasaki S, Imai K, Shibue T, Honda K, Taniguchi T: Integration of interferon-alpha/beta signalling to p53 responses in tumour suppression and antiviral defence. Nature. 2003, 424 (6948): 516-523. 10.1038/nature01850.View ArticlePubMedGoogle Scholar
- Pan W, Lin J, Le CT: How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach. Genome Biol. 2002, 3 (5): research0022-10.1186/gb-2002-3-5-research0022.PubMed CentralView ArticlePubMedGoogle Scholar
- Glass A, Henning J, Karopka T, Scheel T, Bansemer S, Koczan D, Gierl L, Rolfs A, Gimsa U: Representation of individual gene expression in completely pooled mRNA samples. Biosci Biotechnol Biochem. 2005, 69 (6): 1098-1103. 10.1271/bbb.69.1098.View ArticlePubMedGoogle Scholar
- Kendziorski CM, Zhang Y, Lan H, Attie AD: The efficiency of pooling mRNA in microarray experiments. Biostatistics. 2003, 4 (3): 465-477. 10.1093/biostatistics/4.3.465.View ArticlePubMedGoogle Scholar
- Kendziorski C, Irizarry RA, Chen KS, Haag JD, Gould MN: On the utility of pooling biological samples in microarray experiments. Proc Natl Acad Sci USA. 2005, 102 (12): 4252-4257. 10.1073/pnas.0500607102.PubMed CentralView ArticlePubMedGoogle Scholar
- Peng X, Wood CL, Blalock EM, Chen KC, Landfield PW, Stromberg AJ: Statistical implications of pooling RNA samples for microarray experiments. BMC Bioinformatics. 2003, 4: 26-10.1186/1471-2105-4-26.PubMed CentralView ArticlePubMedGoogle Scholar
- de Ridder D, Linden van der CE, Schonewille T, Dik WA, Reinders MJ, van Dongen JJ, Staal FJ: Purity for clarity: the need for purification of tumor cells in DNA microarray studies. Leukemia. 2005, 19 (4): 618-627.PubMedGoogle Scholar
- Szaniszlo P, Wang N, Sinha M, Reece LM, Van Hook JW, Luxon BA, Leary JF: Getting the right cells to the array: Gene expression microarray analysis of cell mixtures and sorted cells. Cytometry A. 2004, 59 (2): 191-202. 10.1002/cyto.a.20055.View ArticlePubMedGoogle Scholar
- Makino M, Baba M: A cryopreservation method of human peripheral blood mononuclear cells for efficient production of dendritic cells. Scand J Immunol. 1997, 45 (6): 618-622. 10.1046/j.1365-3083.1997.d01-441.x.View ArticlePubMedGoogle Scholar
- Sonza S, Maerz A, Deacon N, Meanger J, Mills J, Crowe S: Human immunodeficiency virus type 1 replication is blocked prior to reverse transcription and integration in freshly isolated peripheral blood monocytes. J Virol. 1996, 70 (6): 3863-3869.PubMed CentralPubMedGoogle Scholar
- Zhu T, Muthui D, Holte S, Nickle D, Feng F, Brodie S, Hwangbo Y, Mullins JI, Corey L: Evidence for human immunodeficiency virus type 1 replication in vivo in CD14(+) monocytes and its potential role as a source of virus in patients on highly active antiretroviral therapy. J Virol. 2002, 76 (2): 707-716. 10.1128/JVI.76.2.707-716.2002.PubMed CentralView ArticlePubMedGoogle Scholar
- Schmidt B, Ashlock BM, Foster H, Fujimura SH, Levy JA: HIV-infected cells are major inducers of plasmacytoid dendritic cell interferon production, maturation, and migration. Virology. 2005, 343 (2): 256-266. 10.1016/j.virol.2005.09.059.View ArticlePubMedGoogle Scholar
- Fitzgerald-Bocarsly P: Natural interferon-alpha producing cells: the plasmacytoid dendritic cells. Biotechniques. 2002, 16-20. 22, 24-19., SupplGoogle Scholar
- Corbeil J, Sheeter D, Genini D, Rought S, Leoni L, Du P, Ferguson M, Masys DR, Welsh JB, Fink JL, Sasik R, Huang D, Drenkow J, Richman DD, Gingeras T: Temporal gene regulation during HIV-1 infection of human CD4+ T cells. Genome Res. 2001, 11 (7): 1198-1204. 10.1101/gr.GR-1802R.PubMed CentralView ArticlePubMedGoogle Scholar
- Hupp TR, Meek DW, Midgley CA, Lane DP: Regulation of the specific DNA binding function of p53. Cell. 1992, 71 (5): 875-886. 10.1016/0092-8674(92)90562-Q.View ArticlePubMedGoogle Scholar
- Perfettini JL, Castedo M, Roumier T, Andreau K, Nardacci R, Piacentini M, Kroemer G: Mechanisms of apoptosis induction by the HIV-1 envelope. Cell Death Differ. 2005, 12 (Suppl 1): 916-923. 10.1038/sj.cdd.4401584.View ArticlePubMedGoogle Scholar
- Chan EY, Qian WJ, Diamond DL, Liu T, Gritsenko MA, Monroe ME, Camp DG, Smith RD, Katze MG: Quantitative analysis of human immunodeficiency virus type 1-infected CD4+ cell proteome: dysregulated cell cycle progression and nuclear transport coincide with robust virus production. J Virol. 2007, 81 (14): 7571-7583. 10.1128/JVI.00288-07.PubMed CentralView ArticlePubMedGoogle Scholar
- Ringrose JH, Jeeninga RE, Berkhout B, Speijer D: Proteomic studies reveal coordinated changes in T-cell expression patterns upon infection with human immunodeficiency virus type 1. J Virol. 2008, 82 (9): 4320-4330. 10.1128/JVI.01819-07.PubMed CentralView ArticlePubMedGoogle Scholar
- Longo F, Marchetti MA, Castagnoli L, Battaglia PA, Gigliani F: A novel approach to protein-protein interaction: complex formation between the p53 tumor suppressor and the HIV Tat proteins. Biochem Biophys Res Commun. 1995, 206 (1): 326-334. 10.1006/bbrc.1995.1045.View ArticlePubMedGoogle Scholar
- Greenway AL, McPhee DA, Allen K, Johnstone R, Holloway G, Mills J, Azad A, Sankovich S, Lambert P: Human immunodeficiency virus type 1 Nef binds to tumor suppressor p53 and protects cells against p53-mediated apoptosis. J Virol. 2002, 76 (6): 2692-2702. 10.1128/JVI.76.6.2692-2702.2002.PubMed CentralView ArticlePubMedGoogle Scholar
- Sawaya BE, Khalili K, Mercer WE, Denisova L, Amini S: Cooperative actions of HIV-1 Vpr and p53 modulate viral gene transcription. J Biol Chem. 1998, 273 (32): 20052-20057. 10.1074/jbc.273.32.20052.View ArticlePubMedGoogle Scholar
- Ariumi Y, Kaida A, Hatanaka M, Shimotohno K: Functional cross-talk of HIV-1 Tat with p53 through its C-terminal domain. Biochem Biophys Res Commun. 2001, 287 (2): 556-561. 10.1006/bbrc.2001.5626.View ArticlePubMedGoogle Scholar
- Pauls E, Senserrich J, Clotet B, Este JA: Inhibition of HIV-1 replication by RNA interference of p53 expression. J Leukoc Biol. 2006, 80 (3): 659-667. 10.1189/jlb.0306189.View ArticlePubMedGoogle Scholar
- Li CJ, Wang C, Friedman DJ, Pardee AB: Reciprocal modulations between p53 and Tat of human immunodeficiency virus type 1. Proc Natl Acad Sci USA. 1995, 92 (12): 5461-5464. 10.1073/pnas.92.12.5461.PubMed CentralView ArticlePubMedGoogle Scholar
- Duan L, Ozaki I, Oakes JW, Taylor JP, Khalili K, Pomerantz RJ: The tumor suppressor protein p53 strongly alters human immunodeficiency virus type 1 replication. J Virol. 1994, 68 (7): 4302-4313.PubMed CentralPubMedGoogle Scholar
- Takahashi N, Kobayashi S, Jiang X, Kitagori K, Imai K, Hibi Y, Okamoto T: Expression of 53BP2 and ASPP2 proteins from TP53BP2 gene by alternative splicing. Biochem Biophys Res Commun. 2004, 315 (2): 434-438. 10.1016/j.bbrc.2004.01.079.View ArticlePubMedGoogle Scholar
- Iwabuchi K, Bartel PL, Li B, Marraccino R, Fields S: Two cellular proteins that bind to wild-type but not mutant p53. Proc Natl Acad Sci USA. 1994, 91 (13): 6098-6102. 10.1073/pnas.91.13.6098.PubMed CentralView ArticlePubMedGoogle Scholar
- Naumovski L, Cleary ML: The p53-binding protein 53BP2 also interacts with Bc12 and impedes cell cycle progression at G2/M. Mol Cell Biol. 1996, 16 (7): 3884-3892.PubMed CentralView ArticlePubMedGoogle Scholar
- Yang JP, Hori M, Takahashi N, Kawabe T, Kato H, Okamoto T: NF-kappaB subunit p65 binds to 53BP2 and inhibits cell death induced by 53BP2. Oncogene. 1999, 18 (37): 5177-5186. 10.1038/sj.onc.1202904.View ArticlePubMedGoogle Scholar
- Helps NR, Barker HM, Elledge SJ, Cohen PT: Protein phosphatase 1 interacts with p53BP2, a protein which binds to the tumour suppressor p53. FEBS Lett. 1995, 377 (3): 295-300. 10.1016/0014-5793(95)01347-4.View ArticlePubMedGoogle Scholar
- Klein C, Planker E, Diercks T, Kessler H, Kunkele KP, Lang K, Hansen S, Schwaiger M: NMR spectroscopy reveals the solution dimerization interface of p53 core domains bound to their consensus DNA. J Biol Chem. 2001, 276 (52): 49020-49027. 10.1074/jbc.M107516200.View ArticlePubMedGoogle Scholar
- Kobayashi S, Kajino S, Takahashi N, Kanazawa S, Imai K, Hibi Y, Ohara H, Itoh M, Okamoto T: 53BP2 induces apoptosis through the mitochondrial death pathway. Genes Cells. 2005, 10 (3): 253-260. 10.1111/j.1365-2443.2005.00835.x.View ArticlePubMedGoogle Scholar
- Munoz-Fontela C, Macip S, Martinez-Sobrido L, Brown L, Ashour J, Garcia-Sastre A, Lee SW, Aaronson SA: Transcriptional role of p53 in interferon-mediated antiviral immunity. J Exp Med. 2008, 205 (8): 1929-1938. 10.1084/jem.20080383.PubMed CentralView ArticlePubMedGoogle Scholar
- Yonezawa A, Morita R, Takaori-Kondo A, Kadowaki N, Kitawaki T, Hori T, Uchiyama T: Natural alpha interferon-producing cells respond to human immunodeficiency virus type 1 with alpha interferon production and maturation into dendritic cells. J Virol. 2003, 77 (6): 3777-3784. 10.1128/JVI.77.6.3777-3784.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Brenchley JM, Price DA, Schacker TW, Asher TE, Silvestri G, Rao S, Kazzaz Z, Bornstein E, Lambotte O, Altmann D, Blazar BR, Rodriguez B, Teixeira-Johnson L, Landay A, Martin JN, Hecht FM, Picker LJ, Lederman MM, Deeks SG, Douek DC: Microbial translocation is a cause of systemic immune activation in chronic HIV infection. Nat Med. 2006, 12 (12): 1365-1371. 10.1038/nm1511.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.