ArticleProceedings of the National Academy of Sciences of the United States of America2021
A functional screen identifies transcriptional networks that regulate HIV-1 and HIV-2.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 31 citations in OpenAlex.
- Identification of the cellular factor KLF16 as a novel epigenetic repressor of HIV-1 transcription.Research square · 2026Article
- Identification of the cellular transcription factor KLF16 as a novel repressive epigenetic repressor of HIV-1 transcription.bioRxiv : the preprint server for biology · 2026Article
- HIV infection reprogrammes CD4+ T cells for quiescence and entry into proviral latency.Nature microbiology · 2025Article
- Article
- A targeted CRISPR screen identifies ETS1 as a regulator of HIV-1 latency.PLoS pathogens · 2025Article
- Article
- SIV infection induces alterations in gene expression and loss of interneurons in Rhesus Macaque frontal cortex during early systemic infection.Translational psychiatry · 2025Article
- The HIV-1 Transcriptional Program: From Initiation to Elongation Control.Journal of molecular biology · 2025Review
- Gene expression and chromatin conformation of microglia in virally suppressed people with HIV.Life science alliance · 2024Article
- Altered memory CCR6EBioMedicine · 2024Article
- Review
- Targeting Viral Transcription for HIV Cure Strategies.Microorganisms · 2024Review
- The cell biology of HIV-1 latency and rebound.Retrovirology · 2024Review
- Metformin Treatment Leads to Increased HIV Transcription and Gene Expression through Increased CREB Phosphorylation and Recruitment to the HIV LTR Promoter.Aging and disease · 2024Article
- The HIV-2 OGH double reporter virus shows that HIV-2 is less cytotoxic and less sensitive to reactivation from latency than HIV-1 in cell culture.Journal of virus eradication · 2023Article
- Integration site-dependent HIV-1 promoter activity shapes host chromatin conformation.Genome research · 2023Article
- Targeting HIV-1 reservoirs in T cell subsets.Frontiers in immunology · 2023Article
- Catchet-MS identifies IKZF1-targeting thalidomide analogues as novel HIV-1 latency reversal agents.Nucleic acids research · 2022Article
- Intragenic proviral elements support transcription of defective HIV-1 proviruses.PLoS pathogens · 2021Article
- Fighting HIV-1 Persistence: At the Crossroads of "Shoc-K and B-Lock".Pathogens (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
The molecular networks involved in the regulation of HIV replication, transcription, and latency remain incompletely defined. To expand our understanding of these networks, we performed an unbiased high-throughput yeast one-hybrid screen, which identified 42 human transcription factors and 85 total protein-DNA interactions with HIV-1 and HIV-2 long terminal repeats. We investigated a subset of these transcription factors for transcriptional activity in cell-based models of infection. KLF2 and KLF3 repressed HIV-1 and HIV-2 transcription in CD4+ T cells, whereas PLAGL1 activated transcription of HIV-2 through direct protein-DNA interactions. Using computational modeling with interacting proteins, we leveraged the results from our screen to identify putative pathways that define intrinsic transcriptional networks. Overall, we used a high-throughput functional screen, computational modeling, and biochemical assays to identify and confirm several candidate transcription factors and biochemical processes that influence HIV-1 and HIV-2 transcription and latency.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.