Abstract
The switch between HIV latency and productive transcription is regulated by an auto-feedback mechanism initiated by the viral trans-activator Tat, which functions to recruit the host transcription elongation factor P-TEFb to proviral HIV. A heterodimeric complex of CDK9 and one of three cyclin T subunits, P-TEFb is expressed at vanishingly low levels in resting memory CD4+ T cells and cellular mechanisms controlling its availability are central to regulation of the emergence of HIV from latency. Using a well-characterized primary T-cell model of HIV latency alongside healthy donor memory CD4+ T cells, we characterized specific T-cell receptor (TCR) signaling pathways that regulate the generation of transcriptionally active P-TEFb, defined as the coordinate expression of cyclin T1 and phospho-Ser175 CDK9. Protein kinase C (PKC) agonists, such as ingenol and prostratin, stimulated active P-TEFb expression and reactivated latent HIV with minimal cytotoxicity, even in the absence of intracellular calcium mobilization with an ionophore. Unexpectedly, inhibition-based experiments demonstrated that PKC agonists and TCR-mobilized diacylglycerol signal through MAP kinases ERK1/2 rather than through PKC to effect the reactivation of both P-TEFb and latent HIV. Single-cell and bulk RNA-seq analyses revealed that of the four known isoforms of the Ras guanine nucleotide exchange factor RasGRP, RasGRP1 is by far the predominantly expressed diacylglycerol-dependent isoform in CD4+ T cells. RasGRP1 should therefore mediate the activation of ERK1/2 via Ras-Raf signaling upon TCR co-stimulation or PKC agonist challenge. Combined inhibition of the PI3K-mTORC2-AKT-mTORC1 pathway and the ERK1/2 activator MEK prior to TCR co-stimulation abrogated active P-TEFb expression and substantially suppressed latent HIV reactivation. Therefore, contrary to prevailing models, the coordinate reactivation of P-TEFb and latent HIV in primary T cells following either TCR co-stimulation or PKC agonist challenge is independent of PKC but rather involves two complementary signaling arms of the TCR cascade, namely, RasGRP1-Ras-Raf-MEK-ERK1/2 and PI3K-mTORC2-AKT-mTORC1.
Author summary
Dissecting the cellular pathways through which HIV emerges from latency is a key step in the development of therapeutically viable approaches for latency reversal and eventual clearance of persistent HIV in infected individuals. The essential host transcription elongation factor P-TEFb, a heterodimer of CDK9 kinase and a regulatory cyclin T subunit, is a critical mediator of the trans-activation of latent HIV. Availability of P-TEFb for proviral transcription is highly limited due to a posttranscriptional restriction in cyclin T1 expression and dephosphorylation of CDK9 on its activation loop. Using a well-characterized primary T-cell model of HIV latency alongside healthy donor memory CD4+ T cells, we have now defined the signaling pathways that are essential for the generation of transcriptionally active P-TEFb and, consequently, proviral reactivation. Crucial among these findings is the demonstration that protein kinase C (PKC) agonists signal through activation of RasGRP1-Ras-Raf-MEK-ERK1/2 rather than PKC enzymes to effect the reactivation of both P-TEFb and proviral HIV. Understanding these pathways should lead to the discovery of novel highly selective activators of P-TEFb to improve the efficiency of HIV reactivation in the memory T-cell population of virally suppressed individuals.
Introduction
Comprehensively understanding the host mechanisms that permit HIV to emerge from transcriptional latency is crucial for the development of safe pharmacological strategies to eliminate persistent viral reservoirs that are primarily found within memory CD4+ T cells of infected individuals [1–5]. The switch between HIV latency and productive transcription is regulated by an auto-feedback mechanism initiated by the viral trans-activator protein Tat, which functions to recruit the essential host transcription elongation factor P-TEFb along with the super elongation complex (SEC) to proviral HIV [6–9]. P-TEFb is a heterodimer of CDK9 serine/threonine kinase and one of three cyclin T regulatory subunits. However, cyclin T1 (CycT1) is the only cyclin capable of interacting with HIV Tat [7,10,11].
Maintenance of a transcriptionally inactive state in resting memory CD4+ T cells, which engenders the persistence of proviral HIV in latently infected cells, is associated with a tight restriction imposed on P-TEFb activity [12,13]. T-cell receptor (TCR) activation of primary CD4+ T cells potently provides the intracellular signals that are necessary to efficiently stimulate processive HIV transcription by reversing the epigenetic silencing at the proviral promoter, inducing the assembly of P-TEFb and permitting nuclear entry of transcription initiation factors [14,15]. Therefore, the development of more efficient latency reversal strategies will likely require a combination of agents that mimic the effects of TCR signaling. Thus far, histone deacetylase inhibitors are the only class of latency reversal agents (LRAs) to achieve clinical proof-of-concept although they have been found to be marginally effective at activating latent proviruses in both primary cell models of HIV latency and patient-derived CD4+ T cells [16–22]. In a recent clinical study of the HDACi romidepsin we found that poor HIV reactivation was associated with its limited ability to reactivate P-TEFb and transcription initiation factors [23].
Physiological TCR signaling in CD4+ T cells rapidly induces a tyrosine phosphorylation cascade at the cell membrane that leads to the activation of the lipid metabolizing enzymes phospholipase C-γ (PLC-γ) and phosphoinositide-3-kinase (PI3K) [24]. In turn, PLC-γ hydrolyzes phosphatidylinositol-4,5-bisphosphate (PIP2) to generate the second messengers inositol-1,4,5-triphosphate (IP3), that mobilizes calcium release into the cytoplasm, and diacylglycerol (DAG), which directly contributes to the activation of a number of C1 domain-containing intracellular signaling proteins including protein kinase C (PKC) enzymes and the Ras guanine nucleotide exchange factor RasGRP [25–27]. Upon their activation, PI3Ks act to phosphorylate PIP2 to form phosphatidylinositol-3,4,5-trisphosphate (PIP3), a lipid resistant to PLC-γ hydrolysis, that serves to anchor a wide range of signaling proteins through their pleckstrin homology (PH) domains [28].
We and others have previously shown that resting CD4+ T cells are highly deficient in the expression of the CycT1 subunit of P-TEFb while the CDK9 kinase subunit is sequestered in an inactive form in the cytoplasm bound to the kinase-specific chaperone complex Hsp90/Cdc37 [12,13]. Activation of resting T cells stimulates a rapid posttranscriptional synthesis of CycT1, which is tightly coupled with Thr186 phosphorylation of the CDK9 subunit (pThr186 CDK9), a posttranslational modification that is critical for the stable heterodimeric assembly of P-TEFb [13]. Once P-TEFb is assembled it is incorporated into 7SK snRNP, a nuclear regulatory ribonucleoprotein complex that serves to inhibit its kinase activity and sequester the enzyme in nucleoplasmic substructures called speckles found in close proximity to genomic sites of active transcription [29–32]. Recruitment of P-TEFb from 7SK snRNP by Tat and their cooperative binding to a nascently synthesized RNA hairpin called TAR puts the enzyme in close proximity to the negative elongation factors NELF and DSIF, and promoter-proximally paused RNAP II. CDK9 then acts to phosphorylate the E subunit of the repressive NELF complex at multiple serine residues which causes NELF to dissociate from TAR [33–35]. CDK9 also extensively phosphorylates the CTD of RNAP II mainly at Ser2 residues of the heptad repeats Y-S-P-T-S-P-S and C-terminal repeats (G-S-Q/R-T-P) of the hSpt5 subunit of DSIF at Thr4 residues [36–38]. The overall effect of these phospho-modifications by P-TEFb is to remove the blocks to elongation imposed by NELF and DSIF and to stimulate efficient elongation and co-transcriptional processing of proviral transcripts.
An additional CDK9 T-loop phospho-modification occurs at a conserved residue Ser175 (pSer175 CDK9) which we recently demonstrated is due to CDK7 activity in both Jurkat and primary CD4+ T cells [13]. pSer175 CDK9 is only found on a subset of P-TEFb that is transcriptionally active (ie. P-TEFb dissociated from 7SK snRNP) and is functionally important in being coopted by Tat to enhance Tat’s interaction with P-TEFb in order to outcompete BRD4 [13,39], a bromodomain-containing protein that is considered to be a major recruiter of P-TEFb to cellular genes [40,41].
Our current study focuses on defining signaling pathways and T-cell factors that are responsible for regulating proviral reactivation in memory T cells, with a specific focus on identifying the pathways that are essential for the generation of transcriptionally active P-TEFb. PKC agonists are well known and highly potent HIV latency reversing agents, but although progress has been made with development of novel synthetic agonists, they have had limited clinical applications due to concerns about their side effects and cytotoxicity [42,43]. Using a well-characterized and highly reproducible primary QUECEL (quiescent effector cell latency) model of HIV latency [44], alongside healthy donor memory CD4+ T cells, we found that diacylglycerol-mimicking PKC agonists can stimulate active P-TEFb expression with minimal cytotoxicity in the absence of co-treatment with a calcium ionophore. Unexpectedly, PKC agonists induce P-TEFb via activation of RasGRP1-Ras-Raf-MEK-ERK1/2 rather than through stimulation of PKC enzymatic activity. P-TEFb induction after TCR co-stimulation is further regulated by the PI3K-mTORC2-AKT-mTORC1 pathway. Combined inhibition of the PI3K-mTORC2-AKT-mTORC1 pathway and the ERK1/2 activator MEK prior to TCR co-stimulation completely abrogated active P-TEFb expression and substantially suppressed latent HIV reactivation. Thus, reactivation of P-TEFb in primary T cells in response to either TCR co-stimulation or PKC agonist challenge is largely independent of PKC suggesting novel opportunities to develop effective latency reversing strategies.
Results
Posttranscriptional induction of P-TEFb expression in primary T cells is required for latent proviral reactivation
Resting CD4+ T cells serve as the primary reservoir for latent HIV and maintain a cellular environment that is non-permissive for HIV transcription. Unstimulated memory CD4+ T cells isolated from healthy donor blood (S1A Fig), the majority of which possess a central memory phenotype (S1B Fig), are largely in a quiescent (ie. resting) state. Characteristically, the resting cells lack markers of T-cell activation (CD25 and CD69), cell proliferation (Ki67 and cyclin D3) and critical transcription factors such as NF-κB and P-TEFb (S2 Fig).
As shown in Fig 1A, P-TEFb activity is highly restricted in resting memory CD4+ T cells due to a posttranscriptional block in CycT1 translation and sequestration of activation-loop-dephosphorylated CDK9 in the cytoplasm by Hsp90/Cdc37 [13,45,46]. We have developed sensitive flow cytometry assays to monitor CycT1 expression and phosphorylation of CDK9 on its activation loop (T-loop) after stimulation of memory CD4+ T cells (Fig 1B and 1C) [13,39]. Using this assay with a range of known latency reversing agents revealed that T-cell receptor (TCR) co-stimulation with anti-CD3 and anti-CD28 coated beads is the most effective at eliciting induction of CycT1 expression and T-loop phosphorylation of CDK9 in memory CD4+ T cells (Fig 1D). An examination of the two major memory T-cell subsets revealed that although unstimulated effector memory cells possess slightly higher levels of P-TEFb, Ki67 and cyclin D3 compared to the central memory subset, there wasn’t a noticeable difference between both subsets in their temporal expression profiles of each of these factors following T-cell receptor (TCR) activation (S3 Fig). Therefore, these findings provided the impetus to carry out our studies on P-TEFb regulation using total memory CD4+ T cells.
Activation of memory T cells through the TCR results in a rapid synthesis of CycT1 protein (Figs 1B and S3) and, just as rapid, the localization of nascent P-TEFb into the nucleus (Fig 2A). This process is coincident with the assembly of the P-TEFb regulatory complex 7SK snRNP (Fig 2B). The phorbol esters ingenol, prostratin and PMA were also effective inducers of P-TEFb in memory T cells. However, almost no P-TEFb was induced in memory T cells by the HDACi SAHA or by stimulation of cells with anti-CD3 alone, ionomycin or TNF-α (Fig 1D).
As shown in Fig 1C the expression of P-TEFb subunits and the T-loop phosphorylated forms of CDK9 in both healthy donor memory CD4+ T cells and resting polarized primary Th17 cells obtained using the QUECEL protocol (S4A Fig) before and after TCR activation are indistinguishable. We have extensively used the highly reproducible QUECEL model to study HIV latency in primary CD4+ T cells [44,47]. In the unstimulated condition, both memory CD4+ T cells and resting primary Th17 cells exhibit low expression of CycT1 and the T-loop phosphorylated forms of CDK9 (pSer175 and pThr186) (Figs 1C, S2 and S3). While TCR activation of both cell types over an overnight period resulted in a modest elevation of CDK9 protein (by an average of 1.4-fold), it also led to a substantial and proportional increase in the percentage of cells that expressed CycT1, pSer175 CDK9 and pThr186 CDK9 (by an average of 9-fold, 12.2-fold, and 6.3-fold, respectively) (Fig 1C). Generation of CycT1 and the transcriptionally active marker of P-TEFb, pSer175 CDK9, were observed to be quite rapid, reproducibly occurring within 2 h of TCR co-stimulation and concomitant with formation of the P-TEFb-phosphorylated form of RNAP II (pSer2 RNAP II CTD) (Figs 1B, S3 and S5A). These results clearly indicate that the dual expression profiling of CycT1 and pSer175 CDK9 can serve as a dependable measure of catalytically active and gene-associated P-TEFb in primary T cells. Therefore, in the current study induction of transcriptionally active P-TEFb was assessed as the coordinate expression of CycT1 and pSer175 CDK9.
The absolute requirement for P-TEFb induction to support emergence of HIV from latency in primary CD4+ T cells was demonstrated by the observation that a relatively selective CDK9 kinase inhibitor flavopiridol (FVP) repressed proviral reactivation in latently infected primary Th17 cells by an average of 2.5-fold (S5B Fig). Therefore, HIV reactivation in latently infected primary T cells is clearly preceded by and dependent on CycT1 posttranscriptional synthesis and the formation of transcriptionally active P-TEFb in the nucleus in response to intracellular signals emanating from TCR co-stimulation.
Regulation of 7SK snRNP and super elongation complex factors in primary T cells
Efficient stimulation of proviral HIV transcription elongation by P-TEFb is regulated by 7SK snRNP and facilitated by the super elongation complex (SEC) (Fig 1A) [8,9,29,30]. We therefore examined the expression profiles of 7SK snRNP and SEC components in primary CD4+ T cells before and after activation. Western blotting of resting and TCR-activated Th17 cells demonstrated notable restrictions in protein expression of not just CycT1 but also HEXIM1 and the SEC components AFF1 and ELL2 during quiescence (S6A Fig). Transcriptome analysis (bulk RNA-seq) of primary CD4+ T cells that had been polarized into the four major T-cell subsets (Th1, Th2, Th17, and Treg) [44] was also conducted to provide an additional measure of the differential expression of transcripts belonging to P-TEFb subunits (CDK9, CycT1 and CycT2), 7SK snRNP components (HEXIM1, HEXIM2, LARP7 and MEPCE) and SEC proteins (AFF1, AFF2, ELL, ELL2 and ENL). By including in our analysis a publicly available bulk RNA-seq dataset generated by Zhao et al. using unstimulated and TCR-activated memory CD4+ T cells [48] (SRA accession SRP026389) (Extended data shown in S6B–S6D Fig), we were able to demonstrate that each of these in vitro polarized T-cell subsets can faithfully recapitulate the phenotypic characteristics of memory CD4+ T cells in maintaining the pattern of expression of these factors (Fig 3A–3C). Most notably, the high-throughput sequencing studies demonstrated that there was an overall little change in CycT1 mRNA levels over a 24-h period of TCR co-stimulation (Figs 3A and S6B), consistent with the prevailing idea that this P-TEFb subunit is post-transcriptionally regulated. By contrast, CDK9 transcripts appeared to decrease in all cell types with the most significant decrease observed in the QUECEL subsets (Fig 3A). Therefore, there was an apparent inconsistency between the observed drop in CDK9 transcript levels and the modest increase in protein expression following TCR activation seen in Figs 1C and S6. This discrepancy could be an indication that any elevation in CDK9 protein in the activated cells may emanate from posttranscriptional regulation rather than new mRNA synthesis. Also noteworthy was the observation that HEXIM2 mRNA was very low in resting primary CD4+ T cells (~6 transcripts per million) and was further slightly reduced following TCR co-stimulation (~5 transcripts per million) (Fig 3B). By contrast, HEXIM1 was found to be expressed at approximately 4-fold and 7-fold higher levels compared to HEXIM2 in unstimulated and 24-h TCR-activated primary CD4+ T cells, respectively (Fig 3B). These findings suggest that HEXIM1 could be the major isoform in CD4+ T cells and therefore the more probable regulatory partner for P-TEFb within 7SK snRNP. Consistent with our immunoblotting analysis (S6A Fig) and previous findings that ELL2 is tightly regulated and therefore an important limiting factor for SEC formation [49,50], we observed that ELL2 mRNA is minimal in resting CD4+ T cells and highly inducible in response to TCR activation (Figs 3C and S6C). Single-cell RNA-seq (scRNA-seq) that were carried out using both resting and TCR-activated memory CD4+ T cells also supported the findings from the bulk RNA-seq analysis in showing a restriction of ELL2 in resting T cells and a predominance of HEXIM1 over HEXIM2 (S7A and S7B Fig). Thus, these overall results suggest that the posttranscriptional restriction in CycT1 and repression of the P-TEFb-associated factors HEXIM1, AFF1 and ELL2 may need to be overcome in resting CD4+ T cells in order to achieve a robust reactivation of HIV from latency.
Reactivation of P-TEFb in primary T cells is not mediated by protein kinase C
Treatment with a variety of protein kinase C (PKC) agonists (ingenol, prostratin or PMA) stimulated the dual expression of CycT1 and pSer175 CDK9 in both primary Th17 and memory CD4+ T cells albeit at lower mean levels compared to that observed with TCR co-stimulation (Fig 1D). On average, primary Th17 cells appeared to be more responsive to challenge with PKC agonists compared to memory T cells as we observed a 1.2-, 1.9- and 2.7-fold higher level of P-TEFb expression in the former cell type upon stimulation with ingenol, prostratin and PMA, respectively (Figs 1D and S4B). Also noteworthy was the observation that while P-TEFb expression was barely induced in memory T cells following ionomycin treatment, primary Th17 cells responded significantly better with a 4.9-fold higher expression of P-TEFb (Figs 1D and S4B). Overall, there was a much higher expression of P-TEFb in both cell types following challenge with the PKC agonists than with ionomycin treatment. Co-treatment of memory T cells with ionomycin and each of the three PKC agonists did not further elevate P-TEFb expression in memory T cells but substantially enhanced formation of both the transcriptionally active form of NF-κB (pSer529 p65) and the P-TEFb-modified pSer2 CTD RNAP II (Fig 4A). While treatment with PKC agonists elicited minimal cytotoxicity to memory T cells (relative to unstimulated cells viability was found to be 93%, 91% and 87% for ingenol, prostratin and PMA, respectively), co-treatment with ionomycin resulted in a significant loss of cell viability (35–40% cell death compared to unstimulated cells) (Fig 4A). These findings suggest that while intracellular calcium mobilization is not essential for enabling P-TEFb biogenesis in memory T cells, it significantly potentiates the efficacy of PKC agonists at generating the transcription elongation competent form of RNAP II albeit with significant cell cytotoxicity. Exposure of polarized primary Th17 cells to ingenol or prostratin was sufficient to stimulate the formation of P-TEFb and resulted in a comparable extent of proviral reactivation in latently infected Th17 cells as TCR co-stimulation (Figs 4B and S5D). By comparison, TNF-α and SAHA which are ineffective at generating transcriptionally active P-TEFb in both memory and Th17 cells (Fig 1D), were found to be poor reactivators of proviral HIV in the QUECEL Th17 latency model (S5C Fig). Interestingly, ionomycin was able to reactivate latent HIV in QUECEL Th17 cells but to a lower and much more variable extent compared to ingenol and prostratin (Fig 4B). The ability of ionomycin to potently activate the transcription initiation factor NFAT [44], and the slight induction in P-TEFb levels observed upon treatment of primary Th17 cells (Figs 1D, 4B and S4B) are likely to account for this observation. Thus, the reactivation of HIV from latency appears to be tightly coupled to the biogenesis of P-TEFb in primary T cells and both of these processes can be elicited upon cellular treatment with PKC agonists in the absence of intracellular calcium mobilization.
PKC agonists, commonly referred to as phorbol esters, are structural mimics of endogenously generated diacylglycerol (DAG) and bind the C1 domains of both conventional (α, βI, βII, and γ) and novel (δ, θ, ε, and η) PKC isozymes leading to their membrane recruitment and stimulation of their kinase activities [27]. Previously, we had shown that treatment of Jurkat T cells with a pan-PKC inhibitor Ro-31-8220 effectively blocked the inducible phosphorylation of CDK9 at Ser175 that is rapidly stimulated by the phorbol ester PMA [13]. These results suggested that pSer175 CDK9 was likely to be PKC-dependent, although in the same study we did unequivocally demonstrate that this CDK9 T-loop modification was directly due to CDK7 activity. We therefore examined whether DAG-binding PKC enzymes can mediate the expression of CycT1 and/or T-loop phosphorylated CDK9 in primary T cells in response to TCR co-stimulation or phorbol ester treatment (Fig 4C). Healthy donor memory CD4+ T cells and polarized primary Th17 cells were either activated through the TCR or challenged with phorbol ester in the presence or absence of treatment with a conventional pan-PKC inhibitor (Ro-31-8220), an inhibitor that potently inhibits PKC α, β, γ, and δ isoforms (Gö-6983), or one that selectively targets PKC-θ (sotrastaurin). PKC-θ is considered to be the predominantly functional PKC isoform in T cells and it critically mediates both TCR-induced NF-κB and global T-cell activation [51–53]. Surprisingly, all three PKC inhibitors failed to efficiently block either the TCR- or the phorbol ester-mediated inducible expression of CycT1, pSer175 CDK9 and pThr186 CDK9 in both memory CD4+ T cells and polarized primary Th17 cells or had only very modest effects in their inhibition (Figs 5A, 5B, S8 and S9C). Similarly, these inhibitors were ineffective at suppressing the reactivation of latent HIV in primary Th17 cells that was elicited by either TCR co-stimulation or challenge with phorbol ester (Figs 5B, 5C and S5E).
By contrast, sotrastaurin and Ro-31-8220 effectively inhibited the activation of NF-κB in memory T cells in response to phorbol esters as measured by monitoring the formation of pSer529 p65 (Fig 5A). In addition to serving as a positive control for the activity of these PKC inhibitors, this observation is consistent with the prevailing idea that PKC, and more specifically PKC-θ, is a primary mediator of NF-κB activation in T cells. We were also able to demonstrate that Ro-31-8220 can disrupt the degradation of IκB-α due to TCR activation in memory T cells, thereby delaying the peak mobilization of NF-κB subunits p65 and p50 into the nucleus (S9A and S9B Fig). Overall, these results indicate that the coordinate reactivation of P-TEFb and latent HIV in primary T cells in response to either TCR co-stimulation or phorbol ester challenge is largely independent of PKC signaling pathways.
PKC agonists signal through the MAPK ERK pathway to stimulate P-TEFb expression and reactivate latent HIV in primary T cells
TCR-mobilized diacylglycerol and exogenous phorbol esters can also target several other proteins with C1 domains including RasGRP, a guanine nucleotide exchange factor for Ras in T cells [26]. Membrane-anchored RasGRP1 facilitates the activity of SOS, a second Ras GDP-GTP exchange factor, in a positive feedback mechanism that involves the allosteric activation of SOS by RasGRP-generated Ras-GTP [54]. Exchange of GDP for GTP on Ras by both RasGRP and activated SOS causes the formation of Ras–Raf complexes at the plasma membrane that lead to the activation of the MAPK isoforms ERK1 and ERK2 (ERK1/2) (Fig 6A) [55,56].
We were able to confirm that phorbol ester treatment of T cells rapidly stimulates the activating phosphorylation of ERK1/2 (pThr202/pTyr204) concomitant with the inducible synthesis of c-Fos and its localization to the nucleus (S10A Fig). Therefore, we examined whether the Ras–Raf–MEK–ERK1/2 pathway (Fig 6A) can also mediate the biogenesis of P-TEFb in response to TCR or phorbol ester challenge and if it could be a primary pathway for the reactivation of latent HIV in primary CD4+ T cells.
Treatment of Th17 and CD4+ memory T cells with the MEK inhibitor U0126, which effectively blocks the activating phosphorylation of ERK1/2 (S10A and S10B Fig), resulted in a modest inhibition of TCR-induced P-TEFb expression (by an average of 1.5-fold) (Fig 6B). By contrast, U0126 treatment much more effectively inhibited the expression of P-TEFb in both Th17 and memory T cells stimulated by either ingenol or prostratin (by an average of 3.7-fold and 7-fold, respectively) (Fig 6B). Consistent with this observation, U0126 also substantially repressed proviral reactivation in HIV-infected Th17 cells that was induced by ingenol and prostratin (by an average of 2-fold and 3.7-fold, respectively) (Figs 6C and S12).
Although U0126 had a modest and variable repressive effect on TCR-induced P-TEFb expression, there was a stronger repressive effect on TCR-induced proviral reactivation in HIV-infected Th17 cells (1.75-fold repression of HIV compared to the 1.5-fold repression observed on P-TEFb) (Figs 6B, 6C and S12). To test the hypothesis that TCR co-stimulation may be exerting effects on the initiation of proviral transcription by generating the activator protein 1 (AP-1) transcription factor complex of c-Fos and c-Jun through a crosstalk between the ERK1/2 and JNK MAPK pathways (S13A Fig), we examined whether inhibiting JNK either individually or in combination with MEK had any significant effects on proviral reactivation as well as P-TEFb expression. The anthrapyrazolone SP600125 is a well characterized inhibitor of JNK that has been shown to effectively block its kinase activity in T cells at a concentration range of 10–25 μM [57]. Inhibition of JNK signaling with SP600125 caused a 1.3-fold reduction in TCR-induced proviral reactivation compared to a 1.7-fold reduction observed with U0126 treatment (S13B Fig). Treatment of latently infected Th17 cells with both inhibitors failed to elicit additional suppression of TCR-induced proviral gene expression beyond that observed with U0126 treatment (S14 Fig). Similarly, inhibition of JNK did not further enhance the modest repression of TCR-induced P-TEFb expression observed upon MEK inhibition (S15 Fig). Moreover, and not surprisingly, inhibition of JNK had a very modest suppressive effect on ingenol- and prostratin-induced proviral and P-TEFb expression (S14 and S15 Figs) clearly indicating that these phorbol esters do not signal through JNK in eliciting their stimulatory effects. By contrast, a well-characterized Raf inhibitor AZ 628 which selectively and potently inhibits Raf1 and B-Raf kinase activities (with IC50 values of 29 and 105 nM, respectively) was effective at suppressing P-TEFb induction in response to ingenol and prostratin but had no inhibitory effect on TCR-induced P-TEFb expression (S16 Fig).
In summary, our results clearly suggest that MEKK1-MKK4/7-JNK-c-Jun is unlikely to be an essential MAPK pathway for regulating the formation of P-TEFb or the reactivation of latent HIV in CD4+ T cells. Instead, our results strongly support the idea that the Raf-MEK-ERK1/2 MAPK pathway is a primary mediator of the expression of active P-TEFb in memory T cells upon challenge with DAG-mimicking phorbol esters and that this signaling pathway is also essential for the reactivation of latent HIV by these candidate LRAs.
RasGRP1 is the predominantly expressed DAG-dependent RasGRP isoform in primary CD4+ T cells
ERK1/2 activation by TCR co-stimulation is dependent on stimulation of Ras by its membrane-associated guanine nucleotide exchange factors RasGRP and SOS [58]. The Ras GDP-GTP exchange activity of SOS in T cells has been found to be allosterically dependent upon initial activation of Ras by RasGRP1 [54]. Therefore, we hypothesized that RasGRP1 has a central role in mediating the reactivation of P-TEFb and HIV in primary T cells through the ERK1/2 pathway upon challenge with PKC agonists.
The guanine nucleotide exchange activity of three of the four known isoforms of RasGRP, namely, RasGRP1, RasGRP3 and RasGRP4 is known to be tightly regulated by the high affinity binding of membrane-associated DAG or phorbol esters to the C1 domains of these proteins [26]. Upon cellular treatment with DAG-mimicking phorbol esters, RasGRP1, RasGRP3 and RasGRP4 rapidly translocate to cellular membranes where they contribute to the activation of membrane-bound Ras [59–61]. By contrast, the C1 domain of RasGRP2 has a very poor binding affinity for DAG [62,63], and consistent with this observation, the protein fails to translocate to cellular membranes in response to treatment with DAG analogs [64].
We therefore examined whether treatment of memory CD4+ T cells with PKC agonists can trigger the recruitment of RasGRP1 to the plasma membrane. High magnification immunofluorescence microscopy revealed a rapid (within 2 h) translocation of RasGRP1 to the membrane following stimulation of memory T cells with ingenol, prostratin or PMA (Fig 7A). The degree of colocalization of RasGRP1 with the plasma membrane-resident protein Ezrin in cells treated with each of these three PKC agonists was comparable to that observed with TCR-activated cells (Fig 7B).
In order to determine the expression profiles of each of the four RasGRP isoforms, scRNA- and bulk RNA-seq were carried out in both resting and TCR-activated primary CD4+ T cells. Fig 7C is a UMAP profiling of memory CD4+ T cells that were either unstimulated or activated through the TCR for 24 or 72 h prior to scRNA-seq. By utilizing this algorithmic analytical approach we observed distinct clustering of cells depending on the duration of T-cell activation. Further analysis of these UMAP cell clusters for specific transcript expression revealed that both RasGRP1 and RasGRP2 are expressed at comparable levels in unstimulated memory CD4+ T cells with barely any detectable expression of RasGRP3 and RasGRP4 (Fig 7D). Irrespective of the duration of TCR co-stimulation, RasGRP3 and RasGRP4 transcripts remained extremely low. Interestingly, RasGRP2 expression was abolished upon TCR activation while RasGRP1 transcript levels were maintained in these cells following 24 h TCR activation but declined slightly at 72 h post-stimulation.
Consistent with these findings, bulk RNA-seq of primary CD4+ T cell types that had been polarized into the four major T-cell subsets (Th1, Th2, Th17, and Treg) showed that while RasGRP3 and RasGRP4 mRNA are barely expressed in these cells regardless of the cellular activation state, RasGRP2 transcript expression is highly restricted to cells that are in the quiescent phase (S17A Fig). The sharp decline in RasGRP2 mRNA nearly abolished its expression following an overnight period of TCR activation. By contrast, RasGRP1 was found to be expressed at levels that were comparable to those of RasGRP2 in the resting phase of all four CD4+ T-cell subsets and despite the greater than 2-fold reduction in RasGRP1 upon overnight TCR co-stimulation, it became the predominantly expressed RasGRP isoform in activated cells (by at least 8-fold higher transcript levels) in view of the near complete abrogation of RasGRP2 and the extremely low expression of RasGRP3 and RasGRP4 (S17A Fig).
We performed an additional assessment of RasGRP isoform expression with a bulk RNA-seq dataset generated using memory CD4+ T cells that were either unstimulated or subjected to a time course of TCR activation (0, 2, 4, 6, and 24 h) [48]. In agreement with our own scRNA- and bulk RNA-seq experiments described above, analysis of these datasets clearly demonstrated that while RasGRP3 and RasGRP4 transcripts were at very low–at times barely detectable–levels across all time points examined, RasGRP2 expression was comparable to that of RasGRP1 in the unstimulated state then exhibited a rapid and precipitous decay over the 24-h period of T-cell stimulation (S17B Fig). By 6 h of TCR activation, RasGRP2 transcript levels had nearly dropped to those of RasGRP3 and RasGRP4. By contrast, RasGRP1 transcript levels sharply declined by greater than 2-fold within 2 h of TCR activation then rose slightly at the 4 h time point before declining again at 24 h (S17B Fig). Between the 6 h and 24 h activation period RasGRP1 was clearly found to be the major RasGRP isoform expressed in memory CD4+ T cells.
In an effort to corroborate the RNA-seq findings, Western blotting analysis was performed to assess the expression of RasGRP1 and RasGRP2 in memory CD4+ T cells following a time course of TCR activation. These immunoblotting experiments demonstrated that unlike RasGRP1, whose protein expression was found to be constitutive and then elevated after a 24-hour period of TCR activation, RasGRP2 expression is short-lived in activated cells with a half-life of approximately 4 hours (Fig 7E and 7F). Therefore, results from scRNA-seq, bulk RNA-seq and Western blotting are overwhelmingly consistent in demonstrating that the expression of the DAG-independent isoform RasGRP2 is restricted to resting T cells with both its transcripts and protein exhibiting a short-lived half-life in TCR-activated T cells. Our RNA-seq analysis also revealed that RasGRP1 is by far the predominantly expressed DAG-dependent RasGRP isoform in primary CD4+ T cells. Therefore, RasGRP1 is likely to be the isoform that mediates the activation of Ras-Raf-MEK-ERK1/2 signaling in response to TCR co-stimulation or phorbol ester treatment.
PI3K-mTORC1/2 and RasGRP1-ERK1/2 are complementary pathways that are essential for P-TEFb biogenesis and emergence of HIV from latency
Having observed that the MEK inhibitor U0126 causes a modest inhibition of TCR-induced expression of P-TEFb while the Raf inhibitor AZ 628 failed to block the TCR-induced expression of this transcription factor (Figs 6B and S16), we reasoned that there could be other TCR signaling pathways that may contribute to P-TEFb biogenesis in primary T cells. Several years ago, Besnard et al. demonstrated that the pharmacological inhibition of mTORC1 and mTORC2 kinase activities blocks the phosphorylation of the CDK9 subunit of P-TEFb in primary CD4+ T cells [65]. In the same study it was found that this blockade of CDK9 phosphorylation accounted for the suppression in latent HIV reactivation by the mTOR inhibitors. However, the CDK9 target sites of mTOR-dependent phosphorylation were not defined in the study.
Activation of both mTORC1 and mTORC2 in response to TCR co-stimulation is well established to be PI3K-dependent with AKT being a central mediator of the activating crosstalk between both mTORC complexes (Fig 8A) [66,67]. Since mTORC1 is a critical facilitator of protein synthesis [68], we reasoned that activation of the PI3K-mTORC2-AKT-mTORC1 signaling pathway may contribute to generation of P-TEFb by enabling the translation of the CycT1 subunit which, in line with the P-TEFb biogenesis pathway (Fig 1A), is a prerequisite for the subsequent T-loop phosphorylation of CDK9 at both Thr186 and Ser175.
As shown in Fig 8B, TCR-induced expression of transcriptionally active P-TEFb was suppressed, albeit with significant variability between experiments, upon treatment of either memory CD4+ T cells or polarized Th17 cells with an inhibitor of PI3K (LY294002), mTORC1 (rapamycin) or a selective mTOR kinase inhibitor (Torin) that blocks both mTORC1 and mTORC2 activities. Concentrations of LY294002, rapamycin and Torin used in these experiments were confirmed to be effective at blocking TCR-induced phosphorylation of the mTORC1 substrate p70 S6 kinase in memory CD4+ T cells (S19A and S19B Fig). Mean fold reductions in TCR-induced P-TEFb expression upon PI3K, mTORC1, and mTORC1/2 inhibition were found to be 2.1, 1.9, and 2.2, respectively (S2 Table). Similarly, inhibition of AKT kinase activity with ipatasertib resulted in a mean fold reduction of 1.7 in TCR-induced P-TEFb expression (S2 Table). Inconsistent with the observed repressive effects on P-TEFb, inhibition of PI3K, mTORC1 and mTORC1/2 kinases elicited very modest reductions in TCR-induced proviral reactivation in primary Th17 cells (Fig 8C). Therefore, although PI3K and mTORC inhibitors were found to suppress TCR-induced P-TEFb expression with substantial variability but in a statistically significant manner, they were not as effective at blocking the reactivation of latent HIV.
Based on these results we reasoned that both the PI3K-AKT-mTORC and the Raf-MEK-ERK pathways may have complementary roles in regulating TCR-induced P-TEFb biogenesis. Consistent with this idea, we found that a combined inhibition of MEK and PI3K or MEK and mTORC in both primary Th17 and memory CD4+ T cells was much more effective at preventing P-TEFb expression upon TCR co-stimulation than inhibition of the individual kinases (Fig 9A, 9B and S2 Table). Therefore, the combined treatment of these cells with U0126 and LY294002 or U0126 and either mTORC inhibitor (rapamycin for mTORC1 or Torin for mTORC1 and mTORC2) nearly abrogated TCR-induced P-TEFb expression and with minimal cytotoxicity (Fig 9A and 9B).
We also examined the effect of these combined treatments on proviral expression following TCR co-stimulation of latently infected primary Th17 cells. Inhibition of both mTORC1 and mTORC2 with Torin was most effective in combination with U0126 at suppressing proviral reactivation beyond that observed with either inhibitor (Figs 9C and S20). Overall, these results indicate that two of the major signaling arms of the TCR cascade, namely, RasGRP1–Ras–Raf–MEK–ERK1/2 and PI3K–mTORC2-AKT–mTORC1 serve essential complementary functions in mediating the biogenesis of P-TEFb in primary CD4+ T cells that is in turn crucial to enabling the emergence of HIV from latency.
Discussion
Regulation of P-TEFb in primary T cells is central to HIV transcriptional control
Dissecting the cellular pathways through which HIV emerges from latency is critical to the development of “shock and kill” therapeutic approaches that can be used to effectively eradicate persistent reservoirs of transcriptionally latent but replication-competent HIV proviruses in memory CD4+ T cells of infected individuals. Using the well-characterized and highly reproducible primary QUECEL model of HIV latency together with healthy donor memory CD4+ T cells, we identified a series of T-cell signaling pathways that are crucial to the emergence of HIV from latency. In particular, the host transcription elongation factor P-TEFb is an obligate activator of proviral HIV transcription, and therefore, comprehensively understanding its regulation by signal transduction mechanisms in primary T cells is central to HIV cure efforts.
P-TEFb is expressed at vanishingly low levels in memory CD4+ T cells and this is one of the key regulatory mechanisms that minimizes HIV transcription in resting cells. However, TCR co-stimulation initiates a set of signaling cascades that result in the posttranscriptional expression of its CycT1 subunit and T-loop phosphorylation of CDK9 kinase at Ser175 and Thr186. Therefore, the studies presented here were specifically aimed at identifying precise TCR signaling pathways in primary T cells that are essential for the generation of transcriptionally active P-TEFb, defined as the coordinate expression of CycT1 and pSer175 CDK9.
Our major findings, as summarized in the scheme shown in Fig 10, are: i) reactivation of HIV from latency is tightly coupled to the biogenesis of P-TEFb and both of these processes can be elicited upon cellular treatment with PKC agonists in the absence of intracellular calcium mobilization with an ionophore stimulus; ii) stimulation of both P-TEFb expression and proviral reactivation upon TCR co-stimulation or challenge with PKC agonists is largely independent of PKC activity; iii) PKC agonists signal through the alternative activation of the RasGRP1-Ras-Raf-MEK-ERK1/2 to stimulate both P-TEFb biogenesis and the reactivation of latent HIV; and iv) generation of transcriptionally active P-TEFb upon TCR co-stimulation is primarily mediated by two complementary pathways, namely, the RasGRP1-Ras-Raf-MEK-ERK1/2 and the PI3K–mTORC2-AKT–mTORC1 pathways.
Alternative pathway mediating P-TEFb induction by PKC agonists
T-cell challenge with a PKC agonist (usually PMA) plus a calcium ionophore has been widely used in the HIV cure field as a gold standard for measuring the relative effectiveness of LRAs at reversing HIV latency in both in vitro primary cell models and patient-derived CD4+ T cells [69–71]. In our current study using the QUECEL primary T-cell HIV latency model, we found that single challenge with ingenol or prostratin reproducibly elicited levels of proviral reactivation that were comparable to TCR co-stimulation. Each of the PKC agonists we examined was able to stimulate active P-TEFb expression in both primary Th17 and memory T cells, with relatively higher levels of induced P-TEFb observed in primary Th17 cells. Co-treatment with ionomycin failed to improve the stimulatory effects of ingenol or prostratin on P-TEFb in memory T cells. Moreover, ionomycin treatment on its own produced a modest but noticeable induction in CycT1 and pSer175 CDK9 expression in primary Th17 cells but barely had an effect on their expression in memory T cells. Interestingly, the modest elevation in P-TEFb expression observed with ionomycin treatment in the QUECEL Th17 model may have been sufficient to permit processive transcriptional activation of latent HIV. This unexpected observation will necessitate a future assessment of intracellular calcium flux in both primary Th17 and memory T cells during resting and PKC-agonist treated states. Nonetheless, our overall findings strongly suggest that it is the diacylglycerol arm of the TCR pathway rather than calcium signaling that is crucial for the inducible expression of P-TEFb in memory T cells.
Calcium signaling has been shown to be essential for the initiation of HIV transcription in the QUECEL model via activation of NFAT [44]. However, it seems likely that under conditions of phorbol ester treatment alone HIV transcription initiation is mediated primarily by NF-κB as is seen in the Jurkat T-cell models [72–74]. Co-treatment of memory and Th17 cells with ionomycin significantly potentiated the efficacy of PKC agonists at generating the transcriptionally active form of NF-κB (pSer529 p65) and the transcription elongation competent form of RNAP II (pSer2 CTD RNAP II), which provides a downstream readout of P-TEFb enzymatic activity, since pSer2 CTD RNAP II is a modification that is at least in part due to P-TEFb and is strictly associated with polymerase that is already present on transcribing genes [75,76]. It is therefore quite likely that calcium signaling serves to promote the recruitment of RNAP II to gene promoters in a manner that is dependent upon the activation of both NF-κB and NFAT. It is also noteworthy that single challenges with the PKC agonists were minimally cytotoxic to primary T cells while the co-treatment with ionomycin resulted in a significant loss of cell viability. These observations are consistent with a recent report showing that treatment of CD4+ T cells with prostratin or byrostatin-1 induces resistance to apoptosis in a PKC-dependent manner [77]. Thus, because of their ability to induce P-TEFb biogenesis and stimulate the reactivation of HIV from latency, more selective PKC agonists show strong potential as candidate LRAs.
It is generally believed that the latency reversal activity of PKC agonists, also commonly referred to as phorbol esters, is due to the activation of PKC-dependent pathways. These agents structurally mimic endogenously generated DAG to bind the C1 domains of both conventional (α, βI, βII, and γ) and novel (δ, θ, ε, and η) PKC isozymes leading to their membrane recruitment and stimulation of their kinase activities [27]. However, they can also target several other proteins with C1 domains including RasGRP, a critical guanine nucleotide exchange factor for Ras in T cells, α and β chimaerins, Munc13 proteins, protein kinase D (PKD) and DAG kinases (DGKs) [78]. In our current study, we unexpectedly found that pan-PKC inhibitors (which potently inhibit α, β, γ, δ, and ε isoforms) and an inhibitor that selectively targets PKC-θ, considered to be the predominantly functional PKC isoform in T cells [51–53], were all inefficient at blocking phorbol ester- or TCR-induced P-TEFb expression and proviral reactivation in primary T cells. By contrast, selective inhibitors of Raf and MEK kinases effectively suppressed the induction of P-TEFb that was in response to phorbol ester treatment. Moreover, the MEK inhibitor also effectively suppressed phorbol ester-induced proviral reactivation in the QUECEL model. These results strongly indicate that these agents are signaling through the Ras-Raf-MEK-ERK pathway rather than through PKC in eliciting their stimulatory activity on P-TEFb and HIV in primary T cells.
RasGRP1 is a key mediator of P-TEFb biogenesis
A critical initiator of Ras-Raf-MEK-ERK MAPK signaling in response to cellular treatment with DAG-mimicking phorbol esters is the Ras GDP-GTP exchange factor RasGRP [26,58]. Of the four known isoforms of RasGRP, RasGRP1, RasGRP3 and RasGRP4 have been shown to bind phorbol esters with high affinity via their C1 domains and, consequently, they get recruited to the plasma membrane where they are able to access Ras and facilitate guanine nucleotide exchange [26,59–61]. SOS, another important Ras GDP-GTP exchange factor, does not bind DAG but is rather anchored to the membrane by a complex of tyrosine-phosphorylated LAT and the adaptor protein Grb2 [79]. Following T-cell stimulation guanine nucleotide exchange activity of membrane-associated SOS is triggered by the initial activation of Ras by RasGRP [54]. In turn GTP-bound Ras allosterically binds SOS leading to its full activation. This creates a positive Ras-GTP-SOS feedback loop that results in a conformational change in Ras which permits robust formation of Ras-Raf complexes at the membrane [54,80].
Transcriptome analyses of QUECEL T-cell subsets and memory CD4+ T cells performed in our study using scRNA- and bulk RNA-seq approaches, unequivocally demonstrated that of the three DAG-dependent RasGRP isoforms, RasGRP1 is by far the predominantly expressed isoform in resting and TCR-activated cells. By contrast, RasGRP3 and RasGRP4 transcripts were barely detected under both conditions. Assuming mRNA copy numbers of these isoforms appropriately reflect their relative protein expression and potential activities, it is quite likely that the activation of ERK MAPK signaling following TCR co-stimulation or challenge with PKC agonists is being mediated by RasGRP1. Furthermore, we were able to confirm by immunofluorescence microscopy that RasGRP1 rapidly translocates to the membrane following stimulation of memory T cells with PKC agonists. Therefore, these overall results implicate RasGRP1 as being the Ras GDP-GTP exchange factor that orchestrates the regulation of P-TEFb biogenesis in primary T cells.
Unlike the DAG-dependent RasGRP proteins, RasGRP2 has a very poor binding affinity for DAG and fails to translocate to the plasma membrane in response to treatment with DAG analogs [62–64]. Membrane trafficking of RasGRP2 has been shown to be dependent on F actin polymerization [81]. Moreover, a longer splice variant of RasGRP2 is found to be myristoylated and palmitoylated at its N-terminus which also enables a DAG-independent membrane localization [82]. Our transcriptome studies showed that RasGRP2 transcripts are highly restricted to resting primary T cells. Although RasGRP2 mRNA expression was initially comparable to that of RasGRP1 in the unstimulated state, it rapidly and precipitously decayed following TCR activation eventually reaching the extremely low levels seen with RasGRP3 and RasGRP4. These RNA-seq findings were corroborated by Western blotting which demonstrated that RasGRP2 protein is short-lived in TCR-activated memory T cells with a half-life of approximately 4 hours. Dramatic changes in the abundance of a transcript tend to correlate strongly with changes in the abundance of its protein, as we have observed in the case of RasGRP2, ELL2 and HEXIM1, as well as its physiological function. Therefore, our combined RNA-seq and Western blotting results are an indication that RasGRP2 could be functionally relevant in the context of resting T cells or during the earlier period of T-cell activation.
Our findings are noteworthy in view of the established role of RasGRP2 as the primary activator of the Ras homolog Rap1 [82,83], which has been demonstrated in multiple studies to be capable of antagonizing Raf-activating Ras activity in T cells [84–86]. Interestingly, TCR stimulation of primary human T cells with anti-CD3 in the absence of co-stimulatory signals was shown to rapidly and transiently activate Rap1 (within 10 min of receptor crosslinking with anti-CD3) while co-stimulation with anti-CD28 abolished the anti-CD3-dependent activation of Rap1 [87]. As shown in S17C and S17E Fig, both unstimulated memory T cells and QUECEL T-cell subsets expressed much higher copy numbers of Rap1A and Rap1B transcripts as compared to those belonging to H-Ras, K-Ras and N-Ras. These observations warrant further research because they hint at a possible RasGRP2-Rap1 functional interaction that may modulate formation of P-TEFb perhaps by counteracting RasGRP1-Ras-Raf signaling in primary T cells.
Combined roles of the RasGRP1-Ras-Raf-MEK-ERK1/2 and PI3K-mTORC2-AKT-mTORC1 pathways in mediating P-TEFb biogenesis
Molecular mechanisms through which the RasGRP1-Ras-Raf-MEK-ERK1/2 pathway effects the formation of transcriptionally active P-TEFb in primary T cells are still yet to be defined. Using a Jurkat T-cell model system for HIV latency, we had previously shown that ERK MAPK signaling in response to phorbol ester or TCR co-stimulation can serve as a primary mediator of the dissociation of P-TEFb from 7SK snRNP [88]. By conducting chromatin immunoprecipitation studies we were able to further demonstrate that inhibition of ERK activation by MEK substantially suppressed HIV transcription elongation by preventing the recruitment of P-TEFb to latent proviruses. MEK inhibition also suppressed the T-loop phosphorylation of CDK9 at Ser175 in Jurkat T cells, a modification that is exclusively found on P-TEFb that is not associated with 7SK snRNP [39]. In both of these studies we were unable to investigate whether this pathway is also essential for the biogenesis of P-TEFb since Jurkat T cells constitutively express steady-state levels of the enzyme, the majority of which is already assembled into 7SK snRNP.
Since the posttranscriptional synthesis of CycT1 is essential for initiating the assembly of enzymatically active P-TEFb, as proposed in Fig 1, determining the exact mechanisms by which ERK MAPK signaling orchestrates the translation of CycT1 in primary T cells will be of paramount importance in our future studies. Two possible mechanisms may involve relieving the microRNA-directed restriction of CycT1 protein synthesis in resting T cells or facilitating the nuclear export of the RNA binding protein NF90. NF90 was previously shown to be capable of binding the 3’ untranslated region of CycT1 mRNA in latently infected monocyte-derived U1 cells in order to promote translation initiation of CycT1 and subsequent induction of proviral HIV [89].
Our identification of PI3K–mTORC2-AKT–mTORC1 as a complementary TCR pathway for stimulating P-TEFb expression suggests that mTORC1 signaling can participate in P-TEFb biogenesis by enhancing the translation of CycT1 mRNA. In mammalian cells, stimulation of mTORC1 activity is critical to the rapid initiation of protein synthesis through the sequential phosphorylation and activation of components of the translational machinery which include the ribosomal protein S6 kinase 1 (S6K1), its downstream substrate ribosomal protein S6 as well as initiation and elongation factors [90]. Importantly, there is a precedent for a crosstalk between ERK and mTORC signaling leading up to the activation of these translation factors. A study investigating the basis for cardiac hypertrophy reported that Gq protein-coupled receptor agonists induce protein synthesis in cardiomyocytes by stimulating the phosphorylation of S6K1 and eIF4E-binding protein-1 (4E-BP1) via Ras-ERK signaling rather than through AKT and this ability is effectively blocked either by inhibition of MEK or mTORC1 [91]. It will therefore be interesting to examine whether stimulation of ERK activity in primary T cells with PKC agonists may in turn lead to stimulation of mTORC1 and phosphorylation of translation factors.
Disulfiram (DSF), an inhibitor of acetaldehyde dehydrogenase that is used for the treatment of alcoholism, was shown to reactivate latent HIV-1 expression in a primary cell model of virus latency and functions by depleting PTEN protein expression [92,93]. However, a more recent study found that DSF failed to reactivate latent HIV in CD8+-depleted peripheral blood mononuclear cells (PBMCs) obtained from virally suppressed individuals [94]. PTEN lipid phosphatase and GSK3β kinase are well established negative regulators of the PI3K–mTORC2-AKT–mTORC1 signaling pathway (Fig 8A) [95, 96]. In our study we found that inhibition of their activities either individually or in tandem was not sufficient to elicit P-TEFb expression in memory T cells (S19C Fig). Therefore, in future studies we will be testing to see whether various combination treatments that involve using inhibitors of PTEN, GSK3β, diacylglycerol kinase-α (DGK-α; which as shown in S18A and S18B Fig is the predominant DGK isoform in primary CD4+ T cells) as well as membrane-permeable diacylglycerols can stimulate P-TEFb biogenesis.
Translational significance
There is a general consensus based on a multitude of evidence that any latency reversal strategy that is part of the ‘shock-and-kill’ approach will inevitably require the induction of P-TEFb expression in latently infected T cells. Our demonstration that P-TEFb restriction can be reversed specifically via ERK1/2 offers an opportunity in the field to now focus attention on developing strategies to stimulate this pathway. Thus far, there has been an impressive effort by the Wender and Zack groups to design synthetic ingenol and bryostatin derivatives that can act as potent LRAs [42,43]. Refining these PKC agonists so that they are specific for P-TEFb activation offers a very attractive route to reducing cytotoxicity effects while perhaps increasing or at least maintaining latency reversal activity.
A second approach is to improve the efficacy of cell permeable diacylglycerols in combination with inhibition of DGK-α at activating ERK1/2 via the diacylglycerol-dependent RasGRP1. Optimization of this combination of small molecule compounds may offer a suitable alternative to PKC agonists as better selective latency reversal agents (LRAs). Finally, we’ll be exploring the possibility of stimulating the assembly of Ras-Raf complexes following cellular treatment with ceramide, a lipid compound that is currently taken orally as a dietary supplement for skin restoration [97]. Several studies conducted more than two decades ago demonstrated that ceramide, a physiological intermediate of plasma membrane sphingomyelin hydrolysis, can bind the MAP3K Raf leading to an enhancement in Raf membrane recruitment, association of Raf with membrane-bound Ras and, subsequently, Raf kinase activation [98–100]. Therefore, our future studies will also involve the treatment of primary T cells with a combination of an exogenously supplied, cell permeable diacylglycerol to activate Ras via RasGRP1 alongside a ceramide to possibly enhance Ras-Raf association and Raf membrane recruitment.
Conclusions
Despite extensive small molecule screens, it has been challenging to identify potent latency reversing agents. It seems likely that this is because there are multiple barriers to HIV reactivation in latently infected cells involving both transcription initiation, transcription elongation and epigenetic regulation. Despite this complexity, the major rate-limiting step for HIV transcription appears to involve P-TEFb activation. Our studies have shown that although P-TEFb biogenesis after TCR stimulation is the result of multiple complementary signaling pathways, effective activation can be achieved through the RasGRP1-Raf-ERK1/2 pathway. It therefore seems likely that selectively activating this pathway in combination with activation of a transcription initiation factor, for example using a non-canonical activator of NF-κB [101], provides an optimal strategy for latency reversal in the absence of full T-cell activation–the key missing element in the “shock and kill” HIV eradication strategy.
Materials and methods
Materials
RPMI 1640 medium and fetal bovine serum for culturing memory CD4+ T cells and preparing polarized Th17 cells were purchased from Hyclone. Human T-cell activator anti-CD3 and anti-CD28 antibody cocktail covalently bound to magnetic beads (Dynabeads) was obtained from ThermoFisher Scientific. Soluble anti-CD3 and anti-CD28 antibodies were from BD Biosciences. Ingenol-3-angelate and SAHA were purchased from Cayman Chemical. Recombinant TNF-α was from R&D Systems. Prostratin, PMA and ionomycin were from Millipore Sigma. The sources and catalog information of all commercially obtained inhibitors and antibodies used in the current study are shown in S1 Table. HEXIM1 antibody was custom-synthesized and affinity purified by Covance Research Products. Generation, purification and validation of the polyclonal antibody towards the phospho-Ser-175 CDK9 epitope has been described previously [39].
Isolation and experimental culture of memory CD4+ T cells
Approximately 1.0 X 107 memory CD4+ T cells were routinely isolated by negative bead selection from previously frozen healthy donor leukapheresis packs containing 1.0 X 108 peripheral blood mononuclear cells (PBMCs) using the EasySep memory CD4+ T-cell enrichment kit (StemCell). After isolation cells were allowed to recover overnight in complete RPMI media lacking IL-2 prior to treating them with inhibitors and/or stimuli described in the current study. Purity and resting status of the isolated memory T cells were confirmed by immunofluorescence flow cytometry analysis of CD45-RO, cyclin D3 and Ki67 expression. For the inhibitor experiments, memory T cells were equally divided into a 24-well plate at approximately 3.0 X 105/ml of complete media and pretreated with the appropriate inhibitors for 30 min before challenging them with either anti-CD3/anti-CD28 Dynabeads at a 1:1 bead-to-cell ratio or with the phorbol esters ingenol-3-angelate, prostratin or PMA. For cell viability assessment, experimentally treated cells were harvested by centrifugation at 1500 rpm for 3 min in polystyrene 5-ml round-bottomed flow cytometry tubes, washed with 1X PBS and then subjected to staining with eFluor450 Viability Dye (ThermoFisher Scientific) for 30 min on ice.
Preparation of quiescent and HIV-infected Th17 cells
The procedure for generating quiescent and/or latently infected primary Th17 cells has been extensively described previously [44]. Briefly, naïve CD4+ T cells isolated from previously frozen healthy donor leukapheresis packs by negative magnetic bead selection using the EasySep Naïve CD4+ T-cell isolation kit (StemCell) were treated for 8 days with 10 μg/ml Concavanalin A and a cocktail of polarizing cytokines and antibodies. On Day 4, IL-2 was added to the cells at 60 IU/ml. Following Th17 polarization and T-cell expansion, cells were infected with a VSVG-pseudotyped pHR’-Nef+-CD8a/GFP viral construct by spinoculation. On Day 14, HIV infected cells were isolated by anti-CD8a magnetic separation. To generate quiescent T cells, both the infected and the uninfected (negatively sorted) cells were cultured in medium containing reduced concentrations of IL-2 (15 IU/ml) and IL-23 (12.5 μg/ml) for at least 2 weeks. Entry into quiescence was monitored by flow cytometry by measuring EdU incorporation and analyzing the expression of cyclin D3 and Ki67. Proviral latency was also monitored by assessing the expression of Nef by immunofluorescence flow cytometry before and after TCR reactivation for 24 h.
Immunofluorescence flow cytometry
Experimentally treated primary Th17 or memory CD4+ T cells were harvested by centrifugation at 1500 rpm for 3 min in polystyrene 5-ml round-bottomed flow cytometry tubes. Thereafter, cells were washed with 1X PBS prior to fixation in 4% formaldehyde for 15 min at room temperature. For surface-staining with fluorophore-conjugated CD45-RO, CCR7, CD25 and CD69 antibodies, fixed cells were first washed with 1X PBS then incubated with these antibodies for 45 min in the dark and at room temperature. For intracellular staining, fixed cells were permeabilized by a sequential treatment with 0.2% Triton-X-100 for 10 min and incubation with 1X BD Perm/Wash buffer (BD Biosciences) for 15 min at room temperature. Following a 15-min blocking step with a non-specific IgG, permeabilized cells were immunostained for 45 min in the dark and at room temperature with fluorophore-conjugated antibodies against cyclin D3, Ki67, total CDK9, cyclin T1, pThr186 CDK9, pSer175 CDK9, pSer2 CTD RNA polymerase II, or pSer529 p65 NF-κB. For antibodies that were unconjugated, Alexa Fluor antibody labeling kits from ThermoFisher Scientific were used for fluorophore conjugation. After immunostaining cells were rinsed with 1X PBS and then subjected to flow cytometry analysis using the BD LSR Fortessa instrument (BD Biosciences) equipped with the appropriate laser and filters.
Immunofluorescence deconvolution microscopy
Approximately 3.0 X 105 experimentally treated memory CD4+ T cells were harvested by centrifugation at 1500 rpm for 3 min, washed with 1X PBS and resuspended in 30 μl 1X PBS. Resuspended cells were then placed onto poly-L-lysine-coated coverslips in a 24-well plate and allowed to adhere to the surface at 37°C for 15 min. Thereafter, cells were fixed with 4% formaldehyde for 15 min, washed with 1X PBS and then permeabilized with a sequential treatment of 0.2% Triton-X-100 for 10 min followed by 1X Perm/Wash buffer for 30 min at room temperature. Blocking was performed using 10% Normal Donkey Serum (The Jackson Laboratory) prepared in 1X BD Perm/Wash for 30 min and, afterwards, cells were immunostained for 2 h at room temperature with primary antibodies against CDK9, Cdc37, cyclin T1, RasGRP1 or Ezrin. Primary antibody solutions were all prepared in blocking buffer. Thereafter, cells were washed three times with 1X Perm/Wash buffer and then incubated for 1 h with 1:200 dilutions of fluorophore conjugated anti-rabbit or anti-mouse IgG secondary antibodies in blocking buffer. After washing the coverslips with 1X Perm/Wash buffer, they were counterstained with 1 μg/ml DAPI for 15 min, mounted onto glass slides with ProLong Antifade medium (ThermoFisher Scientific), and imaged at high magnification (100X) using a DeltaVision epifluorescent microscope (Applied Precision). Images were captured in a z stack, deconvolved and processed using the softWoRx analysis program (Applied Precision). For RasGRP1 and Ezrin immunostaining, the softWoRx colocalization module was used to create scatterplots and measure the Pearson’s correlation coefficient. A region of interest for the colocalization analysis was defined as a single cell. Processed images were exported as JPEG files and micrographs were composed using Adobe Photoshop.
Combined HEXIM1 immunofluorescence and 7SK RNA FISH staining
Memory CD4+ T cells that were washed and resuspended in 1X PBS as described above were placed onto poly-L-lysine-coated coverslips in a 24-well plate and allowed to adhere to the surface at 37°C for 15 min. Thereafter, cells were fixed with 4% formaldehyde for 15 min, washed with 1X PBS and then permeabilized with a sequential treatment of 0.2% Triton-X-100 for 10 min followed by 1X Perm/Wash buffer for 30 min. For the blocking step, cells were incubated in blocking solution for 30 min that was prepared as follows: 1% BSA (10 μg/ml) and 50 μg/ml Donkey IgG in 1X Perm/Wash. This blocking buffer was also used to prepare the primary and secondary antibody solutions. After immunostaining the cover slips were washed twice with 1X PBS and then fixed in 4% formaldehyde solution for 15 min at room temperature. Coverslips were washed once with 1X PBS prior to incubation with Wash Buffer A (2X SSC and 10% formamide in RNase-free ultrapure H2O) for 5 min at room temperature. For RNA FISH, fluorophore-conjugated oligonucleotide probe was resuspended in hybridization buffer (10% dextran sulfate, 2X SSC and 10% formamide in RNase-free ultrapure H2O) to a final concentration of 125 nM. Coverslips were inverted onto 40 μl droplets of the hybridization mixture in a humidified chamber which was then tightly sealed and incubated in the dark at 37°C for 16 hours. Thereafter, coverslips were transferred onto a fresh 24-well plate cells side up, incubated in the dark with Wash buffer A for 30 min and then counterstained for 15 min with 1 μg/ml DAPI that was prepared in Wash Buffer A. Afterwards, the coverslips were washed twice with Wash Buffer B (2X SSC in RNAase-free ultrapure H2O) prior to mounting onto glass slides using Prolong Antifade medium. Images were captured at high magnification (100X) by deconvolution microscopy and then processed as described above.
Subcellular fractionation of primary Th17 cells for Western blotting
Low-salt and chromatin nuclear fractions were prepared as described previously [13]. Briefly, unstimulated and TCR-activated primary Th17 cells were harvested and washed with ice-cold 1X PBS. Cells were then resuspended in low-salt Cytosolic Extract (CE) lysis buffer (10 mM KCl, 10 mM MgCl2, 0.5% NP-40, 1 mM DTT, and 10 mM Hepes, pH 7.8) containing an EDTA-free protease and phosphatase inhibitor mixture (Roche Applied Science) and placed on ice for 30 min. Thereafter, nuclei were gently pelleted by centrifugation at 4000 rpm for 5 min and washed once with CE buffer. The nuclear pellets were placed in Cell Lysis Buffer A (150 mM NaCl, 10 mM KCl, 1.5 mM MgCl2, 0.5% NP-40, 1 mM DTT, 10 mM Hepes pH 8.0) containing a cocktail of protease and phosphatase inhibitors and lysed in multiple quick freeze/thaw cycles using isopropyl alcohol/dry ice and a 37°C water bath. This was followed by sonication using a microtip to mechanically shear DNA and solubilize chromatin-bound proteins. Nuclear extracts were then centrifuged at 4000 rpm for 3 min to remove insoluble debris. Protein concentration in both low-salt and chromatin nuclear fractions was determined at 280 nm using a Nanodrop spectrophotometer (ThermoFisher Scientific). Thereafter, both fractions were subjected to Western blotting using primary antibodies towards AFF1, ELL2, ENL, CDK9, cyclin T1, HEXIM1, p65, p50, NFAT-c1, c-Fos and c-Jun.
Single-cell transcriptome profiling of memory CD4+ T cells
Memory CD4+ T cells were isolated from a healthy donor leukapheresis pack and allowed to recover overnight in complete RPMI medium with no IL-2 addition prior to challenging them or not with anti-CD3/anti-CD28 Dynabeads for 24 or 72 h at a 1:1 bead-to-cell ratio in media containing 15 IU/ml IL-2. Thereafter, cells were prepared for Drop-seq by magnetically removing the T-cell receptor activator beads, removal of dead cells using the MACS dead cell removal kit and resuspension of cells in 1X PBS containing 0.1% BSA at 2 X 105 cells/ml. To perform transcriptome profiling, a total of 600,000 single cells from each of the three samples were subjected to Drop-seq. Briefly, cells were resuspended in PBS/1% BSA at 200,000 cells/ml. Drop-seq was performed as previously described [102] using microfluid device (FlowJEM, Toronto, Canada) and barcoded beads (ChemGenes, Inc.). After the isolation of single cells with barcoded beads in oil droplets (Bio-Rad, Inc.), we prepared indexed cDNA libraries using Nextera XT library preparation kit (Illumina, Inc.). Libraries were sequenced using Illumina HiSeqX (Medgenome, Inc.). We mapped the resulting reads against the human GRCh38.p13 reference genome and used the Drop-Seq Toolkit v. 1.0 to generate the digital gene expression (DGE) matrices. Our primary data is publicly available at GEO (Accession no. GSE167916). We analyzed, visualized and explored the resulting DGE matrices using an open-source Seurat software package for R, version 4 [103–105]. Each DGE matrix was used to generate a Seurat object. Each single-cell transcription profile taken for further analysis expressed at least 100 genes. We used the SCTransform protocol to normalize the data. Common anchor features (genes) were identified and used to combine the data from different samples into a single Seurat object. After the identification of highly variable genes, principal component analysis (PCA) was performed. Significant principal components were determined using the Jackstraw plot analysis. To classify distinct groups of cells we performed the dimensionality reduction using the Uniform Manifold Approximation and Projection (UMAP) algorithm [106]. Cells were clustered according to their unbiased transcriptome signatures (unsupervised clustering). We used the Dot-plot function in Seurat to quantify positive cell enrichment and relative expression levels of genes of interest in the dataset. Transcript levels were measured in two ways: a) Percent expression, which is a percentage of cells expressing a particular transcript relative to the total number of cells analyzed; and b) Average expression, which is the average ratio of the number of a particular transcript in each cell (n) relative to the number of all transcripts in the same cell (N), multiplied by a factor of 10,000 and then followed by log normalization (ln(1+(n/N)*104).
Bulk RNA-seq of primary CD4+ T-cell QUECEL subsets
Bulk RNA-seq analysis was performed on cells in fully quiescent state and 24 hours following reactivation according to the QUECEL protocol [44] (SRA accession SRP145508). RNA-seq reads were quality controlled using Fastqc and trimmed for any leftover adaptor-derived sequences, and sequences with Phred score less than 30 with Trim Galore, which is a wrapper based on Cutadapt and FastQC. Any reads shorter than 40 nucleotides after the trimming was not used in alignment. The pre-processed reads were aligned to the human genome (hg38/GRCh38) with the Gencode release 27 as the reference annotations using STAR version 2.7.2b [107], followed by gene-level quantitation using htseq-count [108]. In parallel, the pre-processed reads were pseudoaligned using Kallisto version 0.43.1 [109] with 100 rounds of bootstrapping to the Gencode release 27 of the human transcriptome to which the sequence of the transfected HIV genome and the deduced HIV spliced transcripts were added. The resulting quantitations were normalized using Sleuth. The two pipelines yielded concordant results. Transcripts per million (TPM) values were used to evaluate the relative abundance of transcripts under resting and activated conditions. A publicly available bulk RNA-seq dataset of primary human memory CD4+ T cells that had been activated or not through TCR co-stimulation (SRA accession SRP026389) was subjected to an identical analysis workflow as described above.
Supporting information
Acknowledgments
We thank all past and present members of the Karn laboratory for their help and useful discussions. We also thank the CWRU/UH Center for AIDS Research for the provision of microscopy and flow cytometry services.
Data Availability
Our primary single-cell RNA-seq data is publicly available at GEO (Accession no. GSE167916). All other relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was supported by grants from the National Institutes of Health, R01 AI148083 (JK and UM), R01 DE025464 (JK), R21 AI127252 (SV) and P30 A136219, CWRU/UH Center for AIDS Research (JK). UM and SV were also supported by developmental awards from CWRU/UH Center for AIDS Research (P30 A136219). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Finzi D, Blankson J, Siliciano JD, Margolick JB, Chadwick K, Pierson T, et al. Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy. Nat Med. 1999;5(5):512–7. doi: 10.1038/8394 [DOI] [PubMed] [Google Scholar]
- 2.Yukl SA, Gianella S, Sinclair E, Epling L, Li Q, Duan L, et al. Differences in HIV burden and immune activation within the gut of HIV-positive patients receiving suppressive antiretroviral therapy. The Journal of infectious diseases. 2010;202(10):1553–61. Epub 2010/10/14. doi: 10.1086/656722 ; PubMed Central PMCID: PMC2997806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Chun TW, Carruth L, Finzi D, Shen X, DiGiuseppe JA, Taylor H, et al. Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection. Nature. 1997;387:183–8. doi: 10.1038/387183a0 [DOI] [PubMed] [Google Scholar]
- 4.Ho YC, Shan L, Hosmane NN, Wang J, Laskey SB, Rosenbloom DIS, et al. Replication-Competent Noninduced Proviruses in the Latent Reservoir Increase Barrier to HIV-1 Cure. Cell. 2013;155(3):540–51. doi: 10.1016/j.cell.2013.09.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bruner KM, Wang Z, Simonetti FR, Bender AM, Kwon KJ, Sengupta S, et al. A quantitative approach for measuring the reservoir of latent HIV-1 proviruses. Nature. 2019;566(7742):120–5. Epub 2019/02/01. doi: 10.1038/s41586-019-0898-8 ; PubMed Central PMCID: PMC6447073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Karn J. Tackling Tat. J Mol Biol. 1999;293:235–54. doi: 10.1006/jmbi.1999.3060 [DOI] [PubMed] [Google Scholar]
- 7.Wei P, Garber ME, Fang SM, Fischer WH, Jones KA. A novel CDK9-associated C-type cyclin interacts directly with HIV-1 Tat and mediates its high-affinity, loop-specific binding to TAR RNA. Cell. 1998;92(4):451–62. Epub 1998/03/10. doi: 10.1016/s0092-8674(00)80939-3 . [DOI] [PubMed] [Google Scholar]
- 8.Sobhian B, Laguette N, Yatim A, Nakamura M, Levy Y, Kiernan R, et al. HIV-1 Tat assembles a multifunctional transcription elongation complex and stably associates with the 7SK snRNP. Mol Cell. 2010;38(3):439–51. doi: 10.1016/j.molcel.2010.04.012 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.He N, Liu M, Hsu J, Xue Y, Chou S, Burlingame A, et al. HIV-1 Tat and host AFF4 recruit two transcription elongation factors into a bifunctional complex for coordinated activation of HIV-1 transcription. Mol Cell. 2010;38(3):428–38. doi: 10.1016/j.molcel.2010.04.013 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Fujinaga K, Taube R, Wimmer J, Cujec TP, Peterlin BM. Interactions between human cyclin T, Tat, and the transactivation response element (TAR) are disrupted by a cysteine to tyrosine substitution found in mouse cyclin T. Proc Natl Acad Sci U S A. 1999;96:1285–90. doi: 10.1073/pnas.96.4.1285 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Garber ME, Wei P, KewelRamani VN, Mayall TP, Herrmann CH, Rice AP, et al. The interaction between HIV-1 Tat and human cyclin T1 requires zinc and a critical cysteine residue that is not conserved in the murine CycT1 protein. Genes Dev. 1998;12:3512–27. doi: 10.1101/gad.12.22.3512 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Budhiraja S, Famiglietti M, Bosque A, Planelles V, Rice AP. Cyclin T1 and CDK9 T-loop phosphorylation are downregulated during establishment of HIV-1 latency in primary resting memory CD4+ T cells. J Virol. 2012;87:1211–20. doi: 10.1128/JVI.02413-12 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mbonye U, Wang B, Gokulrangan G, Shi W, Yang S, Karn J. Cyclin-dependent kinase 7 (CDK7)-mediated phosphorylation of the CDK9 activation loop promotes P-TEFb assembly with Tat and proviral HIV reactivation. J Biol Chem. 2018;293(26):10009–25. Epub 2018/05/11. doi: 10.1074/jbc.RA117.001347 ; PubMed Central PMCID: PMC6028954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Siliciano RF, Greene WC. HIV latency. Cold Spring Harbor perspectives in medicine. 2011;1(1):a007096. Epub 2012/01/10. doi: 10.1101/cshperspect.a007096; PubMed Central PMCID: PMC3234450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mbonye U, Karn J. The Molecular Basis for Human Immunodeficiency Virus Latency. Annu Rev Virol. 2017;4(1):261–85. Epub 2017/07/19. doi: 10.1146/annurev-virology-101416-041646 . [DOI] [PubMed] [Google Scholar]
- 16.Archin NM, Liberty AL, Kashuba AD, Choudhary SK, Kuruc JD, Crooks AM, et al. Administration of vorinostat disrupts HIV-1 latency in patients on antiretroviral therapy. Nature. 2012;487(7408):482–5. Epub 2012/07/28. doi: 10.1038/nature11286 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wei DG, Chiang V, Fyne E, Balakrishnan M, Barnes T, Graupe M, et al. Histone deacetylase inhibitor romidepsin induces HIV expression in CD4 T cells from patients on suppressive antiretroviral therapy at concentrations achieved by clinical dosing. PLoS Pathog. 2014;10(4):e1004071. Epub 2014/04/12. doi: 10.1371/journal.ppat.1004071; PubMed Central PMCID: PMC3983056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Rasmussen TA, Lewin SR. Shocking HIV out of hiding: where are we with clinical trials of latency reversing agents? Curr Opin HIV AIDS. 2016;11(4):394–401. Epub 2016/03/15. doi: 10.1097/COH.0000000000000279 . [DOI] [PubMed] [Google Scholar]
- 19.Elliott JH, Wightman F, Solomon A, Ghneim K, Ahlers J, Cameron MJ, et al. Activation of HIV transcription with short-course vorinostat in HIV-infected patients on suppressive antiretroviral therapy. PLoS Pathog. 2014;10(10):e1004473. Epub 2014/11/14. doi: 10.1371/journal.ppat.1004473; PubMed Central PMCID: PMC4231123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Tsai P, Wu G, Baker CE, Thayer WO, Spagnuolo RA, Sanchez R, et al. In vivo analysis of the effect of panobinostat on cell-associated HIV RNA and DNA levels and latent HIV infection. Retrovirology. 2016;13(1):36. Epub 2016/05/22. doi: 10.1186/s12977-016-0268-7; PubMed Central PMCID: PMC4875645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Archin NM, Bateson R, Tripathy M, Crooks AM, Yang KH, Dahl NP, et al. HIV-1 Expression within Resting CD4 T-Cells Following Multiple Doses of Vorinostat. The Journal of infectious diseases. 2014. Epub 2014/03/13. doi: 10.1093/infdis/jiu155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Cillo AR, Sobolewski MD, Bosch RJ, Fyne E, Piatak M Jr., Coffin JM, et al. Quantification of HIV-1 latency reversal in resting CD4+ T cells from patients on suppressive antiretroviral therapy. Proc Natl Acad Sci U S A. 2014. Epub 2014/04/08. doi: 10.1073/pnas.1402873111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.McMahon DK, Zheng L, Cyktor JC, Aga E, Macatangay BJ, Godfrey C, et al. A phase I/II randomized, placebo-controlled trial of romidepsin in persons with HIV-1 on suppressive antiretroviral therapy to assess safety and activation of HIV-1 expression (A5315). J Infect Dis. 2020. Epub 2020/12/23. doi: 10.1093/infdis/jiaa777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Smith-Garvin JE, Koretzky GA, Jordan MS. T cell activation. Annu Rev Immunol. 2009;27:591–619. Epub 2009/01/10. doi: 10.1146/annurev.immunol.021908.132706 ; PubMed Central PMCID: PMC2740335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Gaud G, Lesourne R, Love PE. Regulatory mechanisms in T cell receptor signalling. Nat Rev Immunol. 2018;18(8):485–97. Epub 2018/05/24. doi: 10.1038/s41577-018-0020-8 . [DOI] [PubMed] [Google Scholar]
- 26.Stone JC. Regulation and Function of the RasGRP Family of Ras Activators in Blood Cells. Genes Cancer. 2011;2(3):320–34. Epub 2011/07/23. doi: 10.1177/1947601911408082 ; PubMed Central PMCID: PMC3128638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Colon-Gonzalez F, Kazanietz MG. C1 domains exposed: from diacylglycerol binding to protein-protein interactions. Biochim Biophys Acta. 2006;1761(8):827–37. Epub 2006/07/25. doi: 10.1016/j.bbalip.2006.05.001 . [DOI] [PubMed] [Google Scholar]
- 28.Hawkins PT, Anderson KE, Davidson K, Stephens LR. Signalling through Class I PI3Ks in mammalian cells. Biochem Soc Trans. 2006;34(Pt 5):647–62. Epub 2006/10/21. doi: 10.1042/BST0340647 . [DOI] [PubMed] [Google Scholar]
- 29.Nguyen VT, Kiss T, Michels AA, Bensaude O. 7SK small nuclear RNA binds to and inhibits the activity of CDK9/cyclin T complexes. Nature. 2001;414:322–5. doi: 10.1038/35104581 [DOI] [PubMed] [Google Scholar]
- 30.Yang Z, Zhu Q, Luo K, Zhou Q. The 7SK small nuclear RNA inhibits the CDK9/cyclin T1 kinase to control transcription. Nature. 2001;414:317–22. doi: 10.1038/35104575 [DOI] [PubMed] [Google Scholar]
- 31.Dow EC, Liu H, Rice AP. T-loop phosphorylated Cdk9 localizes to nuclear speckle domains which may serve as sites of active P-TEFb function and exchange between the Brd4 and 7SK/HEXIM1 regulatory complexes. J Cell Physiol. 2010;224(1):84–93. doi: 10.1002/jcp.22096 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Prasanth KV, Camiolo M, Chan G, Tripathi V, Denis L, Nakamura T, et al. Nuclear organization and dynamics of 7SK RNA in regulating gene expression. Mol Biol Cell. 2010;21(23):4184–96. Epub 2010/10/01. doi: 10.1091/mbc.E10-02-0105 ; PubMed Central PMCID: PMC2993747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Fujinaga K, Irwin D, Huang Y, Taube R, Kurosu T, Peterlin BM. Dynamics of human immunodeficiency virus transcription: P-TEFb phosphorylates RD and dissociates negative effectors from the transactivation response element. Mol Cell Biol. 2004;24:787–95. doi: 10.1128/MCB.24.2.787-795.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhang Z, Klatt A, Gilmour DS, Henderson AJ. Negative elongation factor NELF represses human immunodeficiency virus transcription by pausing the RNA polymerase II complex. J Biol Chem. 2007;282(23):16981–8. doi: 10.1074/jbc.M610688200 . [DOI] [PubMed] [Google Scholar]
- 35.Yamaguchi Y, Takagi T, Wada T, Yano K, Furuya A, Sugimoto S, et al. NELF, a multisubunit complex containing RD, cooperates with DSIF to repress RNA polymerase II elongation. Cell. 1999;97:41–51. doi: 10.1016/s0092-8674(00)80713-8 [DOI] [PubMed] [Google Scholar]
- 36.Yamada T, Yamaguchi Y, Inukai N, Okamoto S, Mura T, Handa H. P-TEFb-mediated phosphorylation of hSpt5 C-terminal repeats is critical for processive transcription elongation. Mol Cell. 2006;21(2):227–37. doi: 10.1016/j.molcel.2005.11.024 . [DOI] [PubMed] [Google Scholar]
- 37.Suh H, Ficarro SB, Kang UB, Chun Y, Marto JA, Buratowski S. Direct Analysis of Phosphorylation Sites on the Rpb1 C-Terminal Domain of RNA Polymerase II. Mol Cell. 2016;61(2):297–304. Epub 2016/01/23. doi: 10.1016/j.molcel.2015.12.021 ; PubMed Central PMCID: PMC4724063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Schuller R, Forne I, Straub T, Schreieck A, Texier Y, Shah N, et al. Heptad-Specific Phosphorylation of RNA Polymerase II CTD. Mol Cell. 2016;61(2):305–14. Epub 2016/01/23. doi: 10.1016/j.molcel.2015.12.003 . [DOI] [PubMed] [Google Scholar]
- 39.Mbonye UR, Gokulrangan G, Datt M, Dobrowolski C, Cooper M, Chance MR, et al. Phosphorylation of CDK9 at Ser175 enhances HIV transcription and is a marker of activated P-TEFb in CD4(+) T lymphocytes. PLoS Pathog. 2013;9(5):e1003338. Epub 2013/05/10. doi: 10.1371/journal.ppat.1003338; PubMed Central PMCID: PMC3642088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Yang Z, Yik JH, Chen R, He N, Jang MK, 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. Epub 2005/08/20. doi: 10.1016/j.molcel.2005.06.029 . [DOI] [PubMed] [Google Scholar]
- 41.Jang MK, 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. doi: 10.1016/j.molcel.2005.06.027 [DOI] [PubMed] [Google Scholar]
- 42.Beans EJ, Fournogerakis D, Gauntlett C, Heumann LV, Kramer R, Marsden MD, et al. Highly potent, synthetically accessible prostratin analogs induce latent HIV expression in vitro and ex vivo. Proc Natl Acad Sci U S A. 2013;110(29):11698–703. Epub 2013/07/03. doi: 10.1073/pnas.1302634110 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.DeChristopher BA, Loy BA, Marsden MD, Schrier AJ, Zack JA, Wender PA. Designed, synthetically accessible bryostatin analogues potently induce activation of latent HIV reservoirs in vitro. Nat Chem. 2012;4(9):705–10. Epub 2012/08/24. doi: 10.1038/nchem.1395 ; PubMed Central PMCID: PMC3428736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Dobrowolski C, Valadkhan S, Graham AC, Shukla M, Ciuffi A, Telenti A, et al. Entry of Polarized Effector Cells into Quiescence Forces HIV Latency. MBio. 2019;10(2). Epub 2019/03/28. doi: 10.1128/mBio.00337-19; PubMed Central PMCID: PMC6437053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ramakrishnan R, Dow EC, Rice AP. Characterization of Cdk9 T-loop phosphorylation in resting and activated CD4(+) T lymphocytes. J Leukoc Biol. 2009;86(6):1345–50. doi: 10.1189/jlb.0509309 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Chiang K, Sung TL, Rice AP. Regulation of Cyclin T1 and HIV-1 Replication by MicroRNAs in Resting CD4+ T Lymphocytes. J Virol. 2012;86(6):3244–52. doi: 10.1128/JVI.05065-11 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Nguyen K, Das B, Dobrowolski C, Karn J. Multiple Histone Lysine Methyltransferases Are Required for the Establishment and Maintenance of HIV-1 Latency. MBio. 2017;8(1). Epub 2017/03/02. doi: 10.1128/mBio.00133-17; PubMed Central PMCID: PMC5347344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zhao S, Fung-Leung WP, Bittner A, Ngo K, Liu X. Comparison of RNA-Seq and microarray in transcriptome profiling of activated T cells. PLoS One. 2014;9(1):e78644. Epub 2014/01/24. doi: 10.1371/journal.pone.0078644; PubMed Central PMCID: PMC3894192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Liu M, Hsu J, Chan C, Li Z, Zhou Q. The Ubiquitin Ligase Siah1 Controls ELL2 Stability and Formation of Super Elongation Complexes to Modulate Gene Transcription. Mol Cell. 2012;46(3):325–34. Epub 2012/04/10. doi: 10.1016/j.molcel.2012.03.007 ; PubMed Central PMCID: PMC3360964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Wu J, Xue Y, Gao X, Zhou Q. Host cell factors stimulate HIV-1 transcription by antagonizing substrate-binding function of Siah1 ubiquitin ligase to stabilize transcription elongation factor ELL2. Nucleic Acids Res. 2020;48(13):7321–32. Epub 2020/06/02. doi: 10.1093/nar/gkaa461 ; PubMed Central PMCID: PMC7367184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Coudronniere N, Villalba M, Englund N, Altman A. NF-kappa B activation induced by T cell receptor/CD28 costimulation is mediated by protein kinase C-theta. Proc Natl Acad Sci U S A. 2000;97(7):3394–9. Epub 2000/03/15. doi: 10.1073/pnas.060028097 ; PubMed Central PMCID: PMC16250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Lin X, O’Mahony A, Mu Y, Geleziunas R, Greene WC. Protein kinase C-theta participates in NF-kappaB activation induced by CD3-CD28 costimulation through selective activation of IkappaB kinase beta. Mol Cell Biol. 2000;20(8):2933–40. Epub 2000/03/25. doi: 10.1128/MCB.20.8.2933-2940.2000 ; PubMed Central PMCID: PMC85537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Sun Z, Arendt CW, Ellmeier W, Schaeffer EM, Sunshine MJ, Gandhi L, et al. PKC-theta is required for TCR-induced NF-kappaB activation in mature but not immature T lymphocytes. Nature. 2000;404(6776):402–7. Epub 2000/04/04. doi: 10.1038/35006090 . [DOI] [PubMed] [Google Scholar]
- 54.Roose JP, Mollenauer M, Ho M, Kurosaki T, Weiss A. Unusual interplay of two types of Ras activators, RasGRP and SOS, establishes sensitive and robust Ras activation in lymphocytes. Mol Cell Biol. 2007;27(7):2732–45. Epub 2007/02/07. doi: 10.1128/MCB.01882-06 ; PubMed Central PMCID: PMC1899892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Terrell EM, Morrison DK. Ras-Mediated Activation of the Raf Family Kinases. Cold Spring Harb Perspect Med. 2019;9(1). Epub 2018/01/24. doi: 10.1101/cshperspect.a033746; PubMed Central PMCID: PMC6311149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Lavoie H, Therrien M. Regulation of RAF protein kinases in ERK signalling. Nat Rev Mol Cell Biol. 2015;16(5):281–98. Epub 2015/04/25. doi: 10.1038/nrm3979 . [DOI] [PubMed] [Google Scholar]
- 57.Bennett BL, Sasaki DT, Murray BW, O’Leary EC, Sakata ST, Xu W, et al. SP600125, an anthrapyrazolone inhibitor of Jun N-terminal kinase. Proc Natl Acad Sci U S A. 2001;98(24):13681–6. Epub 2001/11/22. doi: 10.1073/pnas.251194298 ; PubMed Central PMCID: PMC61101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Roose JP, Mollenauer M, Gupta VA, Stone J, Weiss A. A diacylglycerol-protein kinase C-RasGRP1 pathway directs Ras activation upon antigen receptor stimulation of T cells. Mol Cell Biol. 2005;25(11):4426–41. Epub 2005/05/19. doi: 10.1128/MCB.25.11.4426-4441.2005 ; PubMed Central PMCID: PMC1140631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Tognon CE, Kirk HE, Passmore LA, Whitehead IP, Der CJ, Kay RJ. Regulation of RasGRP via a phorbol ester-responsive C1 domain. Mol Cell Biol. 1998;18(12):6995–7008. Epub 1998/11/20. doi: 10.1128/MCB.18.12.6995 ; PubMed Central PMCID: PMC109282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Lorenzo PS, Kung JW, Bottorff DA, Garfield SH, Stone JC, Blumberg PM. Phorbol esters modulate the Ras exchange factor RasGRP3. Cancer Res. 2001;61(3):943–9. Epub 2001/02/28. . [PubMed] [Google Scholar]
- 61.Reuther GW, Lambert QT, Rebhun JF, Caligiuri MA, Quilliam LA, Der CJ. RasGRP4 is a novel Ras activator isolated from acute myeloid leukemia. J Biol Chem. 2002;277(34):30508–14. Epub 2002/03/07. doi: 10.1074/jbc.M111330200 . [DOI] [PubMed] [Google Scholar]
- 62.Irie K, Masuda A, Shindo M, Nakagawa Y, Ohigashi H. Tumor promoter binding of the protein kinase C C1 homology domain peptides of RasGRPs, chimaerins, and Unc13s. Bioorg Med Chem. 2004;12(17):4575–83. Epub 2004/09/11. doi: 10.1016/j.bmc.2004.07.008 . [DOI] [PubMed] [Google Scholar]
- 63.Czikora A, Lundberg DJ, Abramovitz A, Lewin NE, Kedei N, Peach ML, et al. Structural Basis for the Failure of the C1 Domain of Ras Guanine Nucleotide Releasing Protein 2 (RasGRP2) to Bind Phorbol Ester with High Affinity. J Biol Chem. 2016;291(21):11133–47. Epub 2016/03/30. doi: 10.1074/jbc.M116.725333 ; PubMed Central PMCID: PMC4900263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Johnson JE, Goulding RE, Ding Z, Partovi A, Anthony KV, Beaulieu N, et al. Differential membrane binding and diacylglycerol recognition by C1 domains of RasGRPs. Biochem J. 2007;406(2):223–36. Epub 2007/05/26. doi: 10.1042/BJ20070294 ; PubMed Central PMCID: PMC1948961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Besnard E, Hakre S, Kampmann M, Lim HW, Hosmane NN, Martin A, et al. The mTOR Complex Controls HIV Latency. Cell Host Microbe. 2016;20(6):785–97. Epub 2016/12/16. doi: 10.1016/j.chom.2016.11.001 ; PubMed Central PMCID: PMC5354304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Regulation Chi H. and function of mTOR signalling in T cell fate decisions. Nat Rev Immunol. 2012;12(5):325–38. Epub 2012/04/21. doi: 10.1038/nri3198 ; PubMed Central PMCID: PMC3417069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Yang G, Murashige DS, Humphrey SJ, James DE. A Positive Feedback Loop between Akt and mTORC2 via SIN1 Phosphorylation. Cell Rep. 2015;12(6):937–43. Epub 2015/08/04. doi: 10.1016/j.celrep.2015.07.016 . [DOI] [PubMed] [Google Scholar]
- 68.Huang H, Long L, Zhou P, Chapman NM, Chi H. mTOR signaling at the crossroads of environmental signals and T-cell fate decisions. Immunol Rev. 2020;295(1):15–38. Epub 2020/03/27. doi: 10.1111/imr.12845 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Spina CA, Anderson J, Archin NM, Bosque A, Chan J, Famiglietti M, et al. An in-depth comparison of latent HIV-1 reactivation in multiple cell model systems and resting CD4+ T cells from aviremic patients. PLoS Pathog. 2013;9(12):e1003834. Epub 2014/01/05. doi: 10.1371/journal.ppat.1003834; PubMed Central PMCID: PMC3873446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Bui JK, Halvas EK, Fyne E, Sobolewski MD, Koontz D, Shao W, et al. Ex vivo activation of CD4+ T-cells from donors on suppressive ART can lead to sustained production of infectious HIV-1 from a subset of infected cells. PLoS Pathog. 2017;13(2):e1006230. Epub 2017/02/23. doi: 10.1371/journal.ppat.1006230; PubMed Central PMCID: PMC5338860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Bullen CK, Laird GM, Durand CM, Siliciano JD, Siliciano RF. New ex vivo approaches distinguish effective and ineffective single agents for reversing HIV-1 latency in vivo. Nat Med. 2014;20(4):425–9. Epub 2014/03/25. doi: 10.1038/nm.3489 ; PubMed Central PMCID: PMC3981911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Williams SA, Chen LF, Kwon H, Ruiz-Jarabo CM, Verdin E, Greene WC. NF-kappaB p50 promotes HIV latency through HDAC recruitment and repression of transcriptional initiation. EMBO J. 2006;25(1):139–49. doi: 10.1038/sj.emboj.7600900 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Williams SA, Chen LF, Kwon H, Fenard D, Bisgrove D, Verdin E, et al. Prostratin antagonizes HIV latency by activating NF-kappaB. J Biol Chem. 2004;279(40):42008–17. doi: 10.1074/jbc.M402124200 [DOI] [PubMed] [Google Scholar]
- 74.Pearson R, Kim YK, Hokello J, Lassen K, Friedman J, Tyagi M, et al. Epigenetic silencing of human immunodeficiency virus (HIV) transcription by formation of restrictive chromatin structures at the viral long terminal repeat drives the progressive entry of HIV into latency. J Virol. 2008;82(24):12291–303. doi: 10.1128/JVI.01383-08 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Bowman EA, Kelly WG. RNA polymerase II transcription elongation and Pol II CTD Ser2 phosphorylation: A tail of two kinases. Nucleus. 2014;5(3):224–36. Epub 2014/06/01. doi: 10.4161/nucl.29347 ; PubMed Central PMCID: PMC4133218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Rice AP. Roles of CDKs in RNA polymerase II transcription of the HIV-1 genome. Transcription. 2019;10(2):111–7. Epub 2018/10/31. doi: 10.1080/21541264.2018.1542254 ; PubMed Central PMCID: PMC6602559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.French AJ, Natesampillai S, Krogman A, Correia C, Peterson KL, Alto A, et al. Reactivating latent HIV with PKC agonists induces resistance to apoptosis and is associated with phosphorylation and activation of BCL2. PLoS Pathog. 2020;16(10):e1008906. Epub 2020/10/20. doi: 10.1371/journal.ppat.1008906; PubMed Central PMCID: PMC7595626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Toker A. The biology and biochemistry of diacylglycerol signalling. Meeting on molecular advances in diacylglycerol signalling. EMBO Rep. 2005;6(4):310–4. Epub 2005/03/26. doi: 10.1038/sj.embor.7400378 ; PubMed Central PMCID: PMC1299288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Houtman JC, Yamaguchi H, Barda-Saad M, Braiman A, Bowden B, Appella E, et al. Oligomerization of signaling complexes by the multipoint binding of GRB2 to both LAT and SOS1. Nat Struct Mol Biol. 2006;13(9):798–805. Epub 2006/08/15. doi: 10.1038/nsmb1133 . [DOI] [PubMed] [Google Scholar]
- 80.Tran TH, Chan AH, Young LC, Bindu L, Neale C, Messing S, et al. KRAS interaction with RAF1 RAS-binding domain and cysteine-rich domain provides insights into RAS-mediated RAF activation. Nat Commun. 2021;12(1):1176. Epub 2021/02/21. doi: 10.1038/s41467-021-21422-x; PubMed Central PMCID: PMC7895934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Caloca MJ, Zugaza JL, Vicente-Manzanares M, Sanchez-Madrid F, Bustelo XR. F-actin-dependent translocation of the Rap1 GDP/GTP exchange factor RasGRP2. J Biol Chem. 2004;279(19):20435–46. Epub 2004/02/28. doi: 10.1074/jbc.M313013200 . [DOI] [PubMed] [Google Scholar]
- 82.Clyde-Smith J, Silins G, Gartside M, Grimmond S, Etheridge M, Apolloni A, et al. Characterization of RasGRP2, a plasma membrane-targeted, dual specificity Ras/Rap exchange factor. J Biol Chem. 2000;275(41):32260–7. Epub 2000/08/05. doi: 10.1074/jbc.M006087200 . [DOI] [PubMed] [Google Scholar]
- 83.Lozano ML, Cook A, Bastida JM, Paul DS, Iruin G, Cid AR, et al. Novel mutations in RASGRP2, which encodes CalDAG-GEFI, abrogate Rap1 activation, causing platelet dysfunction. Blood. 2016;128(9):1282–9. Epub 2016/05/29. doi: 10.1182/blood-2015-11-683102 ; PubMed Central PMCID: PMC5009515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Remans PH, Gringhuis SI, van Laar JM, Sanders ME, Papendrecht-van der Voort EA, Zwartkruis FJ, et al. Rap1 signaling is required for suppression of Ras-generated reactive oxygen species and protection against oxidative stress in T lymphocytes. J Immunol. 2004;173(2):920–31. Epub 2004/07/09. doi: 10.4049/jimmunol.173.2.920 . [DOI] [PubMed] [Google Scholar]
- 85.Boussiotis VA, Freeman GJ, Berezovskaya A, Barber DL, Nadler LM. Maintenance of human T cell anergy: blocking of IL-2 gene transcription by activated Rap1. Science. 1997;278(5335):124–8. Epub 1997/10/06. doi: 10.1126/science.278.5335.124 . [DOI] [PubMed] [Google Scholar]
- 86.Czyzyk J, Leitenberg D, Taylor T, Bottomly K. Combinatorial effect of T-cell receptor ligation and CD45 isoform expression on the signaling contribution of the small GTPases Ras and Rap1. Mol Cell Biol. 2000;20(23):8740–7. Epub 2000/11/14. doi: 10.1128/MCB.20.23.8740-8747.2000 ; PubMed Central PMCID: PMC86498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Reedquist KA, Bos JL. Costimulation through CD28 suppresses T cell receptor-dependent activation of the Ras-like small GTPase Rap1 in human T lymphocytes. J Biol Chem. 1998;273(9):4944–9. Epub 1998/03/28. doi: 10.1074/jbc.273.9.4944 . [DOI] [PubMed] [Google Scholar]
- 88.Kim YK, Mbonye U, Hokello J, Karn J. T-Cell Receptor Signaling Enhances Transcriptional Elongation from Latent HIV Proviruses by Activating P-TEFb through an ERK-Dependent Pathway. Journal of molecular biology. 2011;410(5):896–916. Epub 2011/07/19. doi: 10.1016/j.jmb.2011.03.054 ; PubMed Central PMCID: PMC3139146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Hoque M, Shamanna RA, Guan D, Pe’ery T, Mathews MB. HIV-1 Replication and Latency Are Regulated by Translational Control of Cyclin T1. Journal of molecular biology. 2011;410(5):917–32. Epub 2011/07/19. doi: 10.1016/j.jmb.2011.03.060 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Wang X, Proud CG. The mTOR pathway in the control of protein synthesis. Physiology (Bethesda). 2006;21:362–9. Epub 2006/09/23. doi: 10.1152/physiol.00024.2006 . [DOI] [PubMed] [Google Scholar]
- 91.Wang L, Proud CG. Ras/Erk signaling is essential for activation of protein synthesis by Gq protein-coupled receptor agonists in adult cardiomyocytes. Circ Res. 2002;91(9):821–9. Epub 2002/11/02. doi: 10.1161/01.res.0000041029.97988.e9 . [DOI] [PubMed] [Google Scholar]
- 92.Doyon G, Zerbato J, Mellors JW, Sluis-Cremer N. Disulfiram reactivates latent HIV-1 expression through depletion of the phosphatase and tensin homolog. Aids. 2013;27(2):F7–F11. doi: 10.1097/QAD.0b013e3283570620 . [DOI] [PubMed] [Google Scholar]
- 93.Xing S, Bullen CK, Shroff NS, Shan L, Yang HC, Manucci JL, et al. Disulfiram reactivates latent HIV-1 in a Bcl-2 transduced primary CD4+ T cell model without inducing global T cell activation. J Virol. 2011;85(12):6060–4. Epub 2011/04/08. doi: 10.1128/JVI.02033-10 ; PubMed Central PMCID: PMC3126325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Kula A, Delacourt N, Bouchat S, Darcis G, Avettand-Fenoel V, Verdikt R, et al. Heterogeneous HIV-1 Reactivation Patterns of Disulfiram and Combined Disulfiram+Romidepsin Treatments. J Acquir Immune Defic Syndr. 2019;80(5):605–13. Epub 2019/02/16. doi: 10.1097/QAI.0000000000001958 . [DOI] [PubMed] [Google Scholar]
- 95.Manning BD, Toker A. AKT/PKB Signaling: Navigating the Network. Cell. 2017;169(3):381–405. Epub 2017/04/22. doi: 10.1016/j.cell.2017.04.001 ; PubMed Central PMCID: PMC5546324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Hermida MA, Dinesh Kumar J, Leslie NR. GSK3 and its interactions with the PI3K/AKT/mTOR signalling network. Adv Biol Regul. 2017;65:5–15. Epub 2017/07/18. doi: 10.1016/j.jbior.2017.06.003 . [DOI] [PubMed] [Google Scholar]
- 97.Tsuchiya Y, Ban M, Kishi M, Ono T, Masaki H. Safety and Efficacy of Oral Intake of Ceramide-Containing Acetic Acid Bacteria for Improving the Stratum Corneum Hydration: A Randomized, Double-Blind, Placebo-Controlled Study over 12 Weeks. J Oleo Sci. 2020;69(11):1497–508. Epub 2020/10/16. doi: 10.5650/jos.ess20115 . [DOI] [PubMed] [Google Scholar]
- 98.Yao B, Zhang Y, Delikat S, Mathias S, Basu S, Kolesnick R. Phosphorylation of Raf by ceramide-activated protein kinase. Nature. 1995;378(6554):307–10. Epub 1995/11/16. doi: 10.1038/378307a0 . [DOI] [PubMed] [Google Scholar]
- 99.Huwiler A, Brunner J, Hummel R, Vervoordeldonk M, Stabel S, van den Bosch H, et al. Ceramide-binding and activation defines protein kinase c-Raf as a ceramide-activated protein kinase. Proc Natl Acad Sci U S A. 1996;93(14):6959–63. Epub 1996/07/09. doi: 10.1073/pnas.93.14.6959 ; PubMed Central PMCID: PMC38916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Muller G, Storz P, Bourteele S, Doppler H, Pfizenmaier K, Mischak H, et al. Regulation of Raf-1 kinase by TNF via its second messenger ceramide and cross-talk with mitogenic signalling. Embo J. 1998;17(3):732–42. Epub 1998/03/14. doi: 10.1093/emboj/17.3.732 ; PubMed Central PMCID: PMC1170422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Pache L, Marsden MD, Teriete P, Portillo AJ, Heimann D, Kim JT, et al. Pharmacological Activation of Non-canonical NF-kappaB Signaling Activates Latent HIV-1 Reservoirs In Vivo. Cell Rep Med. 2020;1(3):100037. Epub 2020/11/19. doi: 10.1016/j.xcrm.2020.100037; PubMed Central PMCID: PMC7659604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Macosko EZ, Basu A, Satija R, Nemesh J, Shekhar K, Goldman M, et al. Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets. Cell. 2015;161(5):1202–14. Epub 2015/05/23. doi: 10.1016/j.cell.2015.05.002 ; PubMed Central PMCID: PMC4481139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Satija R, Farrell JA, Gennert D, Schier AF, Regev A. Spatial reconstruction of single-cell gene expression data. Nat Biotechnol. 2015;33(5):495–502. Epub 2015/04/14. doi: 10.1038/nbt.3192 ; PubMed Central PMCID: PMC4430369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Butler A, Hoffman P, Smibert P, Papalexi E, Satija R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat Biotechnol. 2018;36(5):411–20. Epub 2018/04/03. doi: 10.1038/nbt.4096 ; PubMed Central PMCID: PMC6700744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Stuart T, Butler A, Hoffman P, Hafemeister C, Papalexi E, Mauck WM, 3rd, et al. Comprehensive Integration of Single-Cell Data. Cell. 2019;177(7):1888–902 e21. Epub 2019/06/11. doi: 10.1016/j.cell.2019.05.031 ; PubMed Central PMCID: PMC6687398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Becht E, McInnes L, Healy J, Dutertre CA, Kwok IWH, Ng LG, et al. Dimensionality reduction for visualizing single-cell data using UMAP. Nat Biotechnol. 2018. Epub 2018/12/12. doi: 10.1038/nbt.4314. [DOI] [PubMed] [Google Scholar]
- 107.Dobin A, Gingeras TR. Mapping RNA-seq Reads with STAR. Curr Protoc Bioinformatics. 2015;51:11 4 1–4 9. Epub 2015/09/04. doi: 10.1002/0471250953.bi1114s51 ; PubMed Central PMCID: PMC4631051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Anders S, Pyl PT, Huber W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31(2):166–9. Epub 2014/09/28. doi: 10.1093/bioinformatics/btu638 ; PubMed Central PMCID: PMC4287950. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016;34(5):525–7. Epub 2016/04/05. doi: 10.1038/nbt.3519 . [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Our primary single-cell RNA-seq data is publicly available at GEO (Accession no. GSE167916). All other relevant data are within the paper and its Supporting Information files.