LKB1 tumor suppressor and salt-inducible kinases negatively regulate human T-cell leukemia virus type 1 transcription
© Tang et al.; licensee BioMed Central Ltd. 2013
Received: 16 December 2012
Accepted: 2 April 2013
Published: 11 April 2013
Human T-cell leukemia virus type 1 (HTLV-1) causes adult T-cell leukemia (ATL). Treatment options are limited and prophylactic agents are not available. We have previously demonstrated an essential role for CREB-regulating transcriptional coactivators (CRTCs) in HTLV-1 transcription.
In this study we report on the negative regulatory role of LKB1 tumor suppressor and salt-inducible kinases (SIKs) in the activation of HTLV-1 long terminal repeats (LTR) by the oncoprotein Tax. Activation of LKB1 and SIKs effectively blunted Tax activity in a phosphorylation-dependent manner, whereas compromising these kinases, but not AMP-dependent protein kinases, augmented Tax function. Activated LKB1 and SIKs associated with Tax and suppressed Tax-induced LTR activation by counteracting CRTCs and CREB. Enforced expression of LKB1 or SIK1 in cells transfected with HTLV-1 molecular clone pX1MT repressed proviral transcription. On the contrary, depletion of LKB1 in pX1MT-transfected cells and in HTLV-1-transformed T cells boosted the expression of Tax. Treatment of HTLV-1 transformed cells with metformin led to LKB1/SIK1 activation, reduction in Tax expression, and inhibition of cell proliferation.
Our findings revealed a new function of LKB1 and SIKs as negative regulators of HTLV-1 transcription. Pharmaceutical activation of LKB1 and SIKs might be considered as a new strategy in anti-HTLV-1 and anti-ATL therapy.
HTLV-1 was the first human retrovirus shown to be the etiological agent of adult T-cell leukemia (ATL). Over 20 million people are infected with HTLV-1 worldwide. ATL is a highly aggressive and fatal malignancy of CD4+ T lymphocytes that develops in 2-5% of carriers, usually after more than 20 years of HTLV-1 latency [1, 2]. Although it is a slow and multifactorial process, progression of ATL tightly correlates with high HTLV-1 proviral load . Treatments for ATL are unspecific and unsatisfactory. Once developed, ATL is minimally treatable. In addition, prophylactic agents that can prevent the development of ATL in carriers of HTLV-1 remain to be identified .
Expression of HTLV-1 provirus is transcriptionally mediated through the viral transactivator Tax, which potently stimulates the activity of long terminal repeats (LTR) by activating the cellular transcription factor CREB and coactivators such as CREB-binding protein (CBP) and CREB-regulating transcriptional coactivators (CRTCs), also known as transducers of regulated CREB activity (TORCs) [4–9]. We have previously characterized the essential roles of Tax, CREB and CRTCs in this process [7, 10, 11]. Particularly, we have demonstrated the requirement of CRTCs in Tax activation of the LTR .
In addition to a viral LTR, a battery of cellular genes can also be activated by Tax primarily through CREB and NF-κB. Tax is a major viral oncoprotein that plays a crucial role in the initiation of malignant transformation . Tax also cooperates with other viral oncoproteins such as HBZ in later phases of leukemogenesis . It has been generally accepted that activation of both CREB and NF-κB by Tax is required for full-blown transformation .
Consistent with Tax playing an essential role in both viral transcription and oncogenesis, counteracting Tax function or eliminating Tax-expressing cells has shown anti-HTLV-1 and anti-ATL effects [14, 15]. Thus, we hypothesized that identification of protein kinases that regulate Tax might reveal new strategies for disease prevention and intervention using small-molecule agonists and antagonists of such kinases. In searching for these kinases, we noticed that CRTCs are regulated by upstream kinases such as LKB1, AMP-activated protein kinases (AMPKs) and salt-inducible kinases (SIKs) [16–18]. LKB1 is a tumor suppressor inactivated in Peutz-Jeghers syndrome, a rare autosomal dominant disorder characterized by gastrointestinal polyps and a higher risk of malignancy . LKB1 phosphorylates and activates AMPKs and AMPK-related kinases, which in turn phosphorylate CRTC2 at S171, leading to its association with 14-3-3 proteins and sequestration in the cytoplasm . As such, AMPKs and SIKs are major kinases that regulate CRTCs [18, 20]. However, the roles of LKB1, AMPKs and SIKs in Tax-mediated transcriptional activation remain elusive.
In this study, we investigated the regulatory roles of LKB1, AMPKs and SIKs in Tax activation of the HTLV-1 LTR. We demonstrated LKB1 and SIKs to be negative regulators of HTLV-1 transcription. Our work suggests a new model in which LKB1 and SIKs suppress Tax-mediated LTR activation by targeting CRTCs and CREB. Our findings also implicate the utility of small-molecule agonists of LKB1 and SIKs in anti-HTLV-1 and anti-ATL therapy.
LKB1 inhibits Tax activation of LTR in a kinase-dependent manner
Four lines of analysis prompted us to investigate the role of LKB1 in HTLV-1 transcription. First, chromosomal rearrangements at 19p13.3, where LKB1 is located, have been reported in some ATL cells . Second, it will be of interest to see whether LKB1 is another repressor of HTLV-1 replication like p53 and p30II, which play a role in viral persistence and transformation [22, 23]. Third, small-molecule agonists of LKB1 have been extensively tested as targeted therapeutics . Finally, Tax-dependent transcriptional activation is particularly robust in LKB1-null HeLa cells.
LKB1 negatively regulates CREB-mediated transcription through AMPK- and SIK-dependent inhibitory phosphorylation of CRTCs [27, 28], which are also essential coactivators of Tax . We therefore further asked whether LKB1 might exert any effects on CRTC1 coactivation of Tax. When we coexpressed LKB1 and CRTC1 in HeLa cells (Figure 1C inset), we found that wild-type LKB1 (LKB1-WT), but not its kinase-defective mutant LKB1-D194A, abrogated LTR activation either by CRTC1 alone (Figure 1C, lanes 1–4 compared to 5–8 or 9–12) or by CRTC1 and Tax (Figure 1C, lanes 13–16 compared to 17–20 or 21–24). To verify the suppressive effect of LKB1 on Tax in T lymphocytes, which are the target cells of HTLV-1, we expressed LKB1 in Jurkat cells. We observed less pronounced activation of LTR by Tax in LKB1-proficient Jurkat cells compared to LKB1-null HeLa cells (Figure 1B); however, introduction of exogenous LKB1 resulted in further inhibition of Tax activation of LTR (Figure 1D, lanes 1–4 compared to 5–8). Hence, LKB1 suppresses Tax- and CRTC-mediated activation of HTLV-1 LTR in a kinase-dependent manner.
SIKs inhibit Tax activation of LTR in a kinase-dependent manner
The role of AMPKs in phosphorylation and activation of CRTCs has been documented in worms and humans [28, 29]. In addition, SIKs , which were identified in the adrenal glands of rats fed with high salt diet and are also phosphorylated by LKB1, are alternative upstream regulators of CRTCs in CREB signaling . With this in mind, we sought to determine the role of AMPKs and SIKs in Tax activation of LTR.
We next examined the influence of SIK1 on Tax activity. SIK1-WT and its constitutively active (T182D) and kinase-defective (K56M) mutants were found to be expressed to comparable levels in HeLa cells (Figure 2B inset). The SIK1-T182D mutant was used to mimic the activation of SIK1 by LKB1 and was therefore expected to be more active than SIK1-WT [27, 32]. Indeed, SIK1-T182D completely suppressed Tax activation of LTR (Figure 2B, lane 13 compared to 19–21), while SIK1-WT displayed only moderate suppressive effect (Figure 2B, lane 13 compared to 16–18). In contrast, SIK1-K56M even augmented Tax activity at the highest dose (Figure 2B, lane 13 compared to 22–24).
We further extended our analysis to SIK2 and SIK3. The respective constitutively active (SIK2-T175D and SIK3-T163D) and kinase-defective mutants (SIK2-K49M and SIK3-K37M) were expressed in HeLa cells (Figure 2C, right panel) [27, 33]. It is noteworthy that SIK3-WT as well as constitutively active phosphomimetic mutants of SIK2 and SIK3 exhibited strong suppressive effects on Tax activity (Figure 2C, lane 8 compared to 10, 12 and 13). Since SIK2-WT did not inhibit Tax activity (Figure 2C, lane 9), the use of SIK1-T175D to mimic the activation by LKB1 was necessary. No alteration in Tax activation of LTR was observed for SIK2/3 kinase-defective mutants (Figure 2C, lane 8 compared to 11 and 14). These results were generally consistent with the notion that LKB1 phosphorylates and activates SIKs, which in turn phosphorylate and inhibit CRTCs.
To verify this model, we asked whether SIK1-T182D might counteract CRTC coactivation of Tax. Indeed, expression of SIK1-T182D ablated transcriptional activity of CRTC1 and Tax (Figure 2D, lanes 2–4 compared to 6–8), implicating SIKs as the potential targets of LKB1 in the activation of LTR by CRTCs and Tax. Furthermore, we coexpressed three active SIKs in HeLa cells. Interestingly, the inhibition of Tax activity was more robust when SIK1 + SIK2, SIK1 + SIK3 or SIK1 + SIK2 + SIK3 were expressed (Figure 2E, lanes 7, 8 and 10 compared to 4–6 and 9), suggesting that SIK1 might cooperate with SIK2 and SIK3 to suppress Tax activity subsequent to their activation by LKB1.
Depletion of LKB1 or SIKs augments Tax activation of LTR
Above we have shown that the kinase-dead mutants of LKB1 and SIKs either have no influence on, or they enhance Tax activation of LTR in the LKB1-null HeLa cells. Our results implied that loss of LKB1 or SIK activity could de-repress the inhibition of Tax activity. Complementary to these gain-of-function analyses, here we further investigated the physiological importance of LKB1 and SIKs in Tax activation of LTR by compromising LKB1 and SIKs in HEK293T cells with RNAi.
Association of Tax with LKB1 and SIKs
For LKB1 and SIKs to exert their influence on Tax, they should form a protein complex with Tax inside the cell. To test this, we performed coimmunoprecipitation assays in HEK293T cells.
Likewise, a protein complex of Tax and SIK1 was also observed in cells expressing Tax and SIK1-WT, but not in cells expressing Tax and SIK-K56M, the kinase-dead mutant (Figure 4C, lanes 2 and 4). Again, Tax seemingly preferred active over inactive SIK1. Additionally, Tax was also found in a protein complex pulled down from cell lysates with GST-SIK2 or GST-SIK3 protein bound to glutathione beads (Figure 4D, lanes 2 and 3 compared to 1). Hence, Tax preferentially associates with active LKB1 and SIKs.
LKB1 inhibition of Tax is mediated through SIKs, CRTCs and CREB
Although we have shown that LKB1 and SIKs interacted with Tax and inhibited its function, the order of events in the signaling cascade remains to be characterized. Here, we took advantage of various dominant inactive mutants and siRNAs to dissect the LKB1-SIKs-CRTCs-CREB cascade in Tax activation of LTR.
CRTCs and CREB are essential activators of the HTLV-1 LTR and they are regulated by LKB1 and SIKs (Figures 1C and 2D) [7, 27]. To formally address whether the suppressive effect of LKB1 was mediated through CRTCs and CREB, we examined whether and how GalCRTC1-M1 and A-CREB might affect the potentiation of Tax activity in LKB1-depleted cells.
This result immediately raised a question as to whether SIKs are the intermediate kinases that relay LKB1 signals to CRTCs to regulate LTR activation by Tax. To address this, AMPK and SIK mRNAs were successfully depleted with siRNAs (Figures 5B and 5C). Consistent with our earlier results, LKB1 effectively abolished Tax activation of LTR (Figure 5D, lane 3 compared to 2). Depletion of SIK1, SIK2 or SIK3 individually rescued LKB1-dependent suppression partially (Figure 5D, lane 3 compared to 5–10), whereas knockdown of AMPKα1 and AMPKα2 with one siRNA, which targets a conserved region of both isoforms, did not cause a significant change (Figure 5D, lanes 4 compared to 3). Notably, when we depleted all three SIKs simultaneously, the LKB1-mediated suppression was completely restored (Figure 5D, lane 11 compared to 2 and 3). In keeping with our earlier results (Figure 2E), this further corroborates the notion that SIKs cooperate with each other to mediate the inhibitory effect of LKB1 on Tax activity.
CRTC2 is targeted by SIKs and phosphorylation of CRTCs at conserved serine residues has been suggested as a mechanism of that targeting [27, 35]. Taking advantage of an unphosphorylatable CRTC1-S167A, we asked whether the inhibitory activity of SIKs on LTR activation might be mediated through CRTC1 phosphorylation at S167. The experiment was done in the absence of Tax since CRTC1-S167A is a constitutively active mutant that mimics the effect of Tax. Consistent with previous findings , CRTC1-WT exhibited modest basal activity on LTR activation (Figure 5E, lane 1 compared to 2–4), whereas LTR activation by CRTC1-S167A was more robust (Figure 5E, lane 13 compared to 14–16). In the presence of dominant active SIK2-T175D or SIK3-T163D, the CRTC1-induced LTR activity was completely blunted (Figure 5E, lanes 5–8 and 9–12 compared to 1–4). In contrast, substantial activation of LTR by CRTC1-S167A was seen in the presence of SIK2-T175D or SIK3-T163D (Figure 5E, lanes 18–20 and 22–24 compared to 14–16), suggesting that SIKs might transmit their inhibitory signal partially through phosphorylation of CRTC1 at S167. On the other hand, mild suppression of CRTC1-S167A activity by SIK2-175D and SIK3-T163D implicated that SIK2 and SIK3 could also regulate CRTC1 through an S167 phosphorylation-independent mechanism. Nevertheless, our collective results suggested that LKB1 operates through SIKs, CRTCs and CREB to effect its suppression on Tax activity.
LKB1 and SIK1 suppress proviral transcription in HTLV-1-infected cells
On the other hand, the amounts of proviral transcripts were also examined in LKB1-depleted HEK293T cells. The effectiveness of LKB1 depletion by two independent siRNAs was verified (Figure 6C, lanes 3 and 4 compared to 1 and 2). Consistent with aforementioned results (Figure 3), knockdown of endogenous LKB1 in infected cells augmented proviral transcription (Figures 6D and 6E), indicating a physiological suppressive role of LKB1 on HTLV-1 gene expression during viral infection.
Anti-HTLV-1 and antiproliferative effect of metformin
Our observations that LKB1 and SIKs negatively regulate HTLV-1 transcription provide the foundation for rational design and development of molecularly targeted anti-HTLV-1 and anti-ATL drugs. As the first step towards this end, we tested a pharmaceutical activator of LKB1 and SIKs, metformin. As one of the most commonly used antidiabetic drugs, metformin is known to exert its therapeutic effects by activating LKB1 and AMPKs [38, 39].
Treatment of three lines of HTLV-1-transformed cells (MT2, MT4 and C8166) with increasing doses of metformin resulted in a progressive reduction in the levels of Tax protein (Figure 8B, lanes 2–4 compared to 1, lanes 6–8 compared to 5, and lanes 10–12 compared to 9). Likewise, treatment of MT4 cells with 2-deoxyglucose (2-DG) also reduced steady-state protein levels of Tax (Figure 8C, lanes 3–5 compared to 1). Previously, 2-DG has been shown to stimulate phosphorylation of LKB1 at both S307 and S428, leading to enhanced activity . To verify that the reduction in Tax expression was attributed to transcriptional repression of LTR in the proviral genome of HTLV-1-transformed cells, we also measured the amounts of Tax transcript. Treatment with three different doses of metformin diminished the levels of Tax mRNA in MT2, MT4 and C8166 cells at two different time points (Figures 8D-8G). Furthermore, measurement of reverse transcriptase activity associated with live HTLV-1 virus indicated that treatment with metformin suppressed in a dose-dependent manner the production of cell-free HTLV-1 virions released to the culture supernatant of MT2 cells (Figure 8H). These data consistently supported a repressive effect of metformin on HTLV-1 transcription and viral protein expression.
Because HTLV-1 and its Tax protein are thought to drive T cell proliferation and transformation [1, 12], we believed it would be of interest to see whether and how inhibition of HTLV-1 transcription and Tax expression by metformin might affect cell proliferation. Indeed, treatment of HTLV-1 transformed MT4, MT2 and C8166 cells with metformin effectively reduced cell proliferation in a dose- and time-dependent manner (Figures 8I and 8J). In contrast, the proliferation of HTLV-1-negative Jurkat cells was not significantly affected. Importantly, depletion of LKB1 in MT2 cells by siLKB1-1 reversed the growth suppressive effect of metformin (Figure 8K), implicating that metformin suppresses proliferation of HTLV-1-positive cells through activation of LKB1.
In this study we provided the first evidence that LKB1 and SIKs negatively regulate HTLV-1 gene expression. We first demonstrated a kinase-dependent suppression of Tax-mediated activation of HTLV-1 LTR by LKB1 and SIKs (Figures 1,2,3,4). We next determined the components of the LKB1-initiated signaling cascade which amplifies and transmits the inhibitory signal to CREB and Tax plausibly through sequential phosphorylation of SIKs and CRTCs (Figure 5). We also documented LKB1-mediated inhibition of proviral gene transcription in HTLV-1-infected cells (Figures 6 and 7). Finally, we demonstrated the anti-HTLV-1 and antiproliferative activity of metformin, a small-molecule agonist of LKB1 and SIKs (Figure 8). Our finding of a previously unrecognized link of LKB1 and SIKs to transcriptional control of HTLV-1 reveals another level of regulation relevant to HTLV-1 pathogenesis and provides new strategies for disease prevention and intervention.
HTLV-1 transcription and replication are critical to the initiation and progression of ATL. Although the exact mechanism of Tax function remains incompletely understood , transcriptional activation from the HTLV-1 LTR bears similarities with that driven by cellular CREs. Several lines of evidence in the literature supported the role of LKB1-SIK cascade in the regulation of CRTC activity at cellular CREs. First, LKB1 is a master kinase which activates more than 14 AMPK-related kinases, three of which have been implicated in the regulation of CREB signaling . Second, SIK1 is known to inhibit cAMP-induced transcription . Third, CRTCs interact with CREB and augment CREB activity [41, 42]. Finally, SIKs phosphorylate CRTCs and induce their cytoplasmic retention [35, 43]. In line with this model, enforced expression of LKB1 in LKB1-deficient HeLa cells led to phosphorylation and activation of SIKs, restoring nucleocytoplasmic shuttling of CRTCs . Some of these findings on cellular CREs are relevant to HTLV-1 LTR.
LKB1 is a highly efficient suppressor of HTLV-1 transcription. Expression of LKB1 in HeLa cells led to an almost complete shut-down of the activity of Tax (Figure 1). In this setting Tax expression driven by a CMV promoter was unaffected by LKB1. Thus, the observed inhibition of LTR activity by LKB1 was not mediated by an indirect effect on Tax. Our findings presented in Figures 2, 3 and 5 are consistent with the notion that LKB1 phosphorylates and activates SIKs, which in turn phosphorylates and inactivates CRTCs, leading to the inhibition of CREB and Tax. Additional loss-of-function and gain-of-function experiments in HTLV-1-infected T cells will provide further support to this model. The S167 phosphorylation-independent mechanism through which SIK2 and SIK3 regulate CRTC1 (Figure 5E) also merits further investigations. Because CREB is required for the transcription of other oncogenic viruses such as hepatitis B virus [44, 45], it will be of interest to see whether LKB1 might regulate hepatitis B virus transcription as well.
In addition to LKB1, SIKs were also found to suppress HTLV-1 transcription in this study. To our surprise, AMPKs, which are also activated by LKB1 and can regulate CRTC activity in other systems , were not involved in Tax activation of LTR (Figures 2A and 5D). This implies that Tax recruitment of LKB1 substrates has specificity. The inhibition of LTR activation was apparently more prominent when SIK1 + SIK2, SIK1 + SIK3 or SIK1 + SIK2 + SIK3 were expressed in combination (Figure 2E). Consistently, LTR activity was most robust when all three SIKs were compromised (Figure 5D). This functional redundancy and cooperativity of SIKs might be relevant to the regulation of HTLV-1 transcription in different cell types and different stages of viral infection. In this regard, it will be of interest to further investigate the synergistic actions of SIK1, SIK2 and SIK3 in mouse models.
The inactivation of additional tumor suppressors such as p53 might play a role in ATL development and progression . One previous study suggested chromosomal rearrangements at 19p13.3, which harbors the LKB1 tumor suppressor, in some ATL cells . Although LKB1 and all three SIKs were expressed in MT2, MT4 and C8166 cells (Figure 7), it will still be of great interest to see whether genetic and epigenetic inactivation of LKB1 and SIKs might occur in ATL cells and help to further propagate Tax-initiated transformation. Whereas Tax activation of NF-κB is thought to be important in leukemogenesis, CREB signaling is also required for sustained transformation . Leukemogenesis is driven by multiple forces including the targets of CREB, HTLV-1 transcription and Tax [1, 12]. In this sense, inactivation of LKB1 and SIKs might promote ATL development through uncontrolled activation of CREB and the HTLV-1 LTR.
Preferential association of Tax with active LKB1 and SIKs (Figure 4) is consistent with the notion that Tax orchestrates HTLV-1 transcription by recruiting both activators and inhibitors. Tax plays a central role in HTLV-1 transcription and it interacts physically with various cellular regulators of the LTR including CRTCs and CREB . The recruitment of active LKB1 and SIKs by Tax plausibly adapts them to CRTCs. This might constitute a negative feedback circuit that controls the magnitude and duration of LTR activation. Plausibly, the expression and activity of LKB1 and SIKs in HTLV-1-infected cells would govern LTR activation in different biological contexts.
The strongest suppression of HTLV-1 LTR by LKB1 and SIKs was observed in transfected HeLa and HEK293T cells (Figures 1,2,3). Not to our surprise, the suppressive effects were moderate in T-cell lines, plausibly due to low transfection efficiency (Figures 6,7,8). Nevertheless, our gain-of-function and loss-of-function studies performed in pX1MT-transfected and HTLV-1-transformed cells (Figures 6 and 7) consistently supported the notion that LKB1 and SIKs are physiological regulators of HTLV-1 transcription. Hence, pharmaceutical activation of LKB1 and SIKs in HTLV-1-infected cells would serve to counteract HTLV-1 transcription and subsequent transformation. Although HTLV-1 leukemogenesis is a slow process, high proviral loads are a major risk factor for disease progression . Thus, reducing proviral loads with small-molecule agonists of LKB1 and SIKs, such as metformin, might reduce the risk for development of ATL.
Indeed, we demonstrated an anti-HTLV-1 and an LKB1-dependent anti-proliferative activity of metformin in HTLV-1-transformed cells (Figure 8). Further investigations are required to determine the in vivo relevance of these findings. Particularly, it will be intriguing to see whether metformin would exhibit anti-HTLV-1 and antiproliferative activity in an animal model. Metformin is one of the most commonly used anti-diabetic drugs. Long-term use of metformin is both well tolerated and highly effective in the activation of LKB1 and downstream kinases . Thus, metformin might be useful not only in patients with ATL, but also in HTLV-1 carriers who are at risk for development of ATL. In this regard, epidemiological studies would be performed to assess retrospectively whether the use of metformin in diabetic HTLV-1 carriers might have reduced the risk for development of HTLV-1-associated diseases.
Our study defines a negative regulatory role of LKB1 and SIKs in HTLV-1 transcription, which operates through CRTCs and CREB. Our work also provides the proof-of-concept for the utility of metformin, a small-molecule agonist of LKB1 and SIKs, in anti-HTLV-1 and anti-ATL therapy.
Cell culture and transfection
HeLa and HEK293T cells were cultured in Dulbecco modified Eagle medium supplemented with 10% fetal calf serum, 2 mM l-glutamine and 1% penicillin/streptomycin at 37°C in a humidified atmosphere of 5% CO2. Jurkat and other HTLV-1-transformed T cells (MT2, MT4 and C8166) were maintained in RPMI1640 medium supplemented with fetal calf serum and penicillin/streptomycin.
HeLa and HEK293T cells were transfected using GeneJuice transfection reagent (Novagen). Jurkat and other HTLV-1-transformed cells were transfected using Lipofectamine 2000 (Invitrogen).
Plasmids and antibodies
Reporter plasmid pLTR-Luc and expression plasmids for Tax, A-CREB, CRTC1, CRTC1-S167A, CRTC1-M1, SIK2, SIK3, AMPK and AMPK-T172D have been detailed elsewhere [7, 17, 27, 48]. Tax expression plasmid pIEX is driven by a cytomegalovirus (CMV) promoter . The pCAG-Tax-V5 expression plasmid was derived from pIEX. LKB1 cDNA in the pCMV-Tag2-LKB1 expression plasmid was derived from EST clone IRAUp969C0840D. The pCMV-Tag2-SIK1 plasmid was derived from pWZL-Neo-Myr-Flag-SNF1LK provided by Jean Zhao . pCMV-Tag2-SIK2 and pCMV-Tag2-SIK3 were derived from pEBG-SIK2 and pEBG-SIK3, respectively .
Mutants for LKB1, AMPKα2 and SIKs were generated by Quikchange Site Directed Mutagenesis kit XL (Agilent). DNA sequencing confirmed that all mutations were successfully introduced. The HTLV-1 infectious clone pX1MT has been described previously . Metformin, 2-deoxy-D-glucose (2-DG), rabbit anti-V5, mouse anti-Flag, mouse anti-β-actin and mouse anti-α-tubulin were obtained from Sigma-Aldrich. Mouse anti-V5 was from Invitrogen. Mouse anti-LKB1 (Ley37D/G6), anti-GST and anti-GFP were from Santa Cruz Biotechnology. Rabbit antibodies against phospho-LKB1-S428 and phospho-acetyl coenzyme A carboxylase-S79 (p-ACC) were from Cell Signaling and Millipore, respectively. Mouse anti-Tax and rabbit anti-phospho-SIK1-T182 have been described .
Reporter assays and protein analysis
The dual luciferase assay and protein analysis were performed as described previously [7, 17]. Cells were harvested 36 or 48 hrs after transfection. Transfection efficiencies were normalized to pSV-RLuc (Promega). Three independent experiments were performed and error bars indicate standard deviations (SD). Differences between indicated groups were statistically analyzed by two tailed Student’s t test.
Protein affinity precipitation
HEK293T cells grown in 100-mm petri dish were harvested into 1 ml of immunoprecipitation buffer (20 mM Tris–HCl, pH 7.5, 100 mM NaCl, 0.5 mM EDTA, 0.5% NP-40, 1 mM dithiothreitol, 20 mM β-glycerophosphate, 1 mM sodium vanadate, and 1 mM phenylmethylsulfonyl fluoride). Flag-LKB1/SIK1, V5-Tax or GST-SIK2/SIK3 protein was precipitated from the cleared lysate after a 2-hr incubation at 4°C with mouse anti-Flag (M2, Sigma), mouse anti-V5 (Invitrogen) or glutathione Sepharose 4B (GE Healthcare). Immunoprecipitates were collected with protein G agarose (Invitrogen). Protein complexes were washed three times with immunoprecipitation buffer and subsequently resuspended in sample buffer (50 mM Tris-Cl, 2% sodium dodecyl sulfate, 5% glycerol, 1% β-mercaptoethanol, and 0.002% bromophenol blue). For immunoprecipitation of endogenous Tax, HTLV-1 transformed cells (MT2, MT4 and C8166) were harvested in 1 ml of immunoprecipitation buffer. Cleared lysate was then incubated with mouse anti-Tax.
RNA interference (RNAi)
HeLa and HEK293T cells were transfected with 100 nM siRNA using Lipofectamine 2000 (Invitrogen). MT2, MT4 and C8166 cells were transfected using TransIT-Jurkat transfection reagent (Mirus). RNAi experiments were performed as described . siRNA sequences are listed in Additional file 2: Table S1.
Real-time RT-PCR was performed as previously described [52, 53]. Primer sequences are listed in Addditional file 2 Table S1. Briefly, total RNA was extracted using RNAiso Plus reagent (TaKaRa) and cDNA was synthesized by Transcriptor First Strand cDNA Synthesis Kit (Roche) using random hexamer primers. RNA expression was quantified by real-time PCR using SYBR® Premix Ex Taq™ reagent (TaKaRa) and StepOne™ real-time PCR system (Applied Biosystems). The normalized value in each sample was calculated as the relative quantity of mRNA divided by the relative quantity of GADPH transcript. Quantitation of target mRNA expression was achieved with the comparative Ct method. Relative expression level of target mRNA was calculated from 2-ΔCt.
Cell proliferation assay
Cell proliferation was assayed by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium (MTT) method as described . Briefly, 5 × 104 cells treated with 10 μl of MTT solution (5 mg/ml) were measured by a microplate reader (Spectra Max 340, Molecular Devices) at a reference wavelength of 550 nm. Cell viability was calculated as a percentage of the control. In dose–response experiments, cells were treated with 10, 20, 30 and 50 mM metformin for 24 hrs. In time-course analysis, cells were treated with 30 mM metformin for the indicated durations.
Reverse transcriptase assay
MT-2 cells were seeded at 1 × 106/ml and cultured overnight in the presence of escalating concentrations of metformin (5, 10 or 20 mM). Supernatants were collected and ultracentrifuged for 2 hrs at 200,000 × g. Supernatant from cultured Jurkat cells was used as a negative control. Reverse transcriptase activity was measured using a colorimetric method by the use of a reagent kit from Roche.
In vitroLKB1 activity assay
His-Tax, LKB1 trimeric complex and GST-AMPKα2 (1–312) were bacterially expressed and a kinase assay was performed with purified recombinant proteins as described . Briefly, GST-AMPKα2 (1–312) (5 μg) was incubated with increasing amounts of His-Tax (1, 2 or 4 μg) in AMPK kinase buffer (50 mM HEPES and 0.02% BRIJ35, pH7.0) in the presence or absence of LKB1 trimeric complex (1.5 μg). The reaction was performed in the presence of 20 μM ATP at 30°C for 15 min. Proteins were resolved by SDS-PAGE and detected by Western blotting.
We thank Drs. Kuan Teh Jeang and David Derse for reagents; and Dr. Karen Kibler and members of Jin laboratory for critical reading of manuscript. This work was supported by S.K. Yee Medical Research Fund (2011) and Hong Kong Research Grants Council (HKU7683/05M, HKU7661/08M, HKU7674/12M and HKU1/CRF/11G).
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