Targeting CDK12/CYCLIN K induces HIV gene activation and latency reversal which is mediated by P-TEFb
Murugavelu, P.; Glebko, H.; Rani, J.; Tickotsky, N.; Levin, L.; Kuzmina, A.; Taube, R.
Show abstract
The administration of antiretroviral therapy has successfully suppressed the replication of Human immunodeficiency virus and substantially inhibited viral infection. However, HIV still persists in long-lived infected cell reservoirs that are resistant to therapy and to immune clearance, therefore a barrier for elimination of infection. HIV gene expression is tightly regulated by the cellular transcription machinery, where low levels of host and viral transcription factors and epigenetic constrains maintain viral persistence. Here, we show that selective targeting of CDK12/CYCLIN K (CCNK) induces both HIV-specific and a global gene activation program, which is mediated by positive transcription elongation factor b (P-TEFb). Targeting CDK12/CCNK triggers a robust HIV gene expression, accompanied with latency reversal and synergistic reactivation when combined with latency-reversing agents. Mechanistically, CDK12/CCNK inhibition promotes the recruitment of RNA Polymerase II and CDK9 to the viral promoter, accompanied with elevated levels of histone activation makers. Targeting CDK12/ CCNK also exerts a global gene activation program, by releasing P-TEFb from 7SK snRNP, and reshaping the chromatin landscape at promoter-proximal loci and gene bodies. Together, these results uncover a previously unrecognized compensatory interplay between transcriptional kinases that rewires the cellular gene expression program with implications for HIV latency reversal. IMPORTANTO_LIManuscripts submitted to Review Commons are peer reviewed in a journal-agnostic way. C_LIO_LIUpon transfer of the peer reviewed preprint to a journal, the referee reports will be available in full to the handling editor. C_LIO_LIThe identity of the referees will NOT be communicated to the authors unless the reviewers choose to sign their report. C_LIO_LIThe identity of the referee will be confidentially disclosed to any affiliate journals to which the manuscript is transferred. C_LI GUIDELINESO_LIFor reviewers: https://www.reviewcommons.org/reviewers C_LIO_LIFor authors: https://www.reviewcommons.org/authors C_LI CONTACTThe Review Commons office can be contacted directly at: office@reviewcommons.org
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A targeted CRISPR screen identifies ETS1 as a regulator of HIV latency. 98%
- Release of P-TEFb from the Super Elongation Complex promotes HIV-1 latency reversal 97%
- HIV-1 accessory protein Vpr possesses a cryptic p300-dependent transcription-promoting activity that is blocked by histone deacetylases in CD4+ T cells. 97%
Similar papers in this journal
- Single-base m6A epitranscriptomics reveals novel HIV-1 host interaction targets in primary CD4+ T cells 97%
- Identification of an antiretroviral small molecule that appears to be a host-targeting inhibitor of HIV-1 assembly 97%
- Enhanced transcriptional strength of HIV-1 subtype C minimizes gene expression noise and confers stability to the viral latent state 97%
Similar papers in this journal
- Selective Ablation of 3' RNA ends and Processive RTs Facilitate Direct cDNA Sequencing of Full-length Host Cell and Viral Transcripts 96%
- Cis regulation within a cluster of viral microRNAs 95%
- The p48 isoform of the PA2G4/EBP1/ITAF45 oncoprotein is required for the encephalomyocarditis virus IRES-driven translation initiation 94%
Similar papers in this journal
- Th17 cell master transcription factor RORC2 regulates HIV-1 gene expression and viral outgrowth 97%
- HSATII RNA is induced via a non-canonical ATM-regulated DNA-damage response pathway and facilitates tumor cell proliferation and movement 96%
- HIV-1 control in vivo is related to the number but not the fraction of infected cells with viral unspliced RNA 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.