Evidence map›Paper›PMID 24875931›Full record

ArticlePLoS pathogens2014

Dynamics of HIV latency and reactivation in a primary CD4+ T cell model.

Pejman Mohammadi, Julia di Iulio, Miguel Muñoz, Raquel Martinez, István Bartha, Matthias Cavassini, Christian Thorball, Jacques Fellay, Niko Beerenwinkel, Angela Ciuffi and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Network Pharmacology-Guided Identification ofInternational journal of molecular sciences · 2026
    Article
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  20. Addressing an HIV cure in LMIC.Retrovirology · 2021
    Review

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Pejman MohammadiDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; Swiss Institute of Bioinformatics, Basel and Lausanne, Switzerland.
Julia di IulioSwiss Institute of Bioinformatics, Basel and Lausanne, Switzerland; Institute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Miguel MuñozInstitute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Raquel MartinezInstitute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
István BarthaSwiss Institute of Bioinformatics, Basel and Lausanne, Switzerland; Institute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Matthias CavassiniService of Infectious Diseases, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Christian ThorballInstitute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Jacques FellaySwiss Institute of Bioinformatics, Basel and Lausanne, Switzerland; Institute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Service of Infectious Diseases, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
Niko BeerenwinkelDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; Swiss Institute of Bioinformatics, Basel and Lausanne, Switzerland.
Angela CiuffiInstitute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; University of Lausanne, Lausanne, Switzerland.
Amalio TelentiInstitute of Microbiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; University of Lausanne, Lausanne, Switzerland.
University Hospital of Lausanne · CHSIB Swiss Institute of Bioinformatics · CHÉcole Polytechnique Fédérale de Lausanne · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV latency is a major obstacle to curing infection. Current strategies to eradicate HIV aim at increasing transcription of the latent provirus. In the present study we observed that latently infected CD4+ T cells from HIV-infected individuals failed to produce viral particles upon ex vivo exposure to SAHA (vorinostat), despite effective inhibition of histone deacetylases. To identify steps that were not susceptible to the action of SAHA or other latency reverting agents, we used a primary CD4+ T cell model, joint host and viral RNA sequencing, and a viral-encoded reporter. This model served to investigate the characteristics of latently infected cells, the dynamics of HIV latency, and the process of reactivation induced by various stimuli. During latency, we observed persistence of viral transcripts but only limited viral translation. Similarly, the reactivating agents SAHA and disulfiram successfully increased viral transcription, but failed to effectively enhance viral translation, mirroring the ex vivo data. This study highlights the importance of post-transcriptional blocks as one mechanism leading to HIV latency that needs to be relieved in order to purge the viral reservoir.

Indexed as

HIV-1Virus ReplicationCD4-Positive T-LymphocytesCells, CulturedHIV InfectionsHumansModels, ImmunologicalRNA, ViralVirus IntegrationVirus LatencyRNA, Viral

Identifiers

PMID24875931
PMCPMC4038609
OpenAlexW2045029790

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.