Evidence map›Paper›PMID 29073251›Full record

ArticlePLoS pathogens2017

Single-cell analysis identifies cellular markers of the HIV permissive cell.

Sylvie Rato, Antonio Rausell, Miguel Muñoz, Amalio Telenti, Angela Ciuffi

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Single-Cell RNA-Sequencing of RVFV Infection.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
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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

5 authors at 3 institutions in 3 countries.

Sylvie RatoInstitute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-0204-0335
Antonio RausellINSERM UMR 1163, Imagine Institute, Paris, France.ORCID http://orcid.org/0000-0002-4832-6101
Miguel MuñozInstitute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-7661-6942
Amalio TelentiThe J. Craig Venter Institute, La Jolla, California, United States of America.
Angela CiuffiInstitute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-2333-513X
University of Lausanne · CHDélégation Paris 5 · FRJ. Craig Venter Institute · US

Funding

Swiss National Science Foundation 146579
6 · The paper itself

Abstract

Cellular permissiveness to HIV infection is highly heterogeneous across individuals. Heterogeneity is also found across CD4+ T cells from the same individual, where only a fraction of cells gets infected. To explore the basis of permissiveness, we performed single-cell RNA-seq analysis of non-infected CD4+ T cells from high and low permissive individuals. Transcriptional heterogeneity translated in a continuum of cell states, driven by T-cell receptor-mediated cell activation and was strongly linked to permissiveness. Proteins expressed at the cell surface and displaying the highest correlation with T cell activation were tested as biomarkers of cellular permissiveness to HIV. FACS sorting using antibodies against several biomarkers of permissiveness led to an increase of HIV cellular infection rates. Top candidate biomarkers included CD25, a canonical activation marker. The combination of CD25 high expression with other candidate biomarkers led to the identification of CD298, CD63 and CD317 as the best biomarkers for permissiveness. CD25highCD298highCD63highCD317high cell population showed an enrichment of HIV-infection of up to 28 fold as compared to the unsorted cell population. The purified hyper-permissive cell subpopulation was characterized by a downregulation of interferon-induced genes and several known restriction factors. Single-cell RNA-seq analysis coupled with functional characterization of cell biomarkers provides signatures of the "HIV-permissive cell".

Indexed as

CD4-Positive T-LymphocytesCells, CulturedHIV-1HIV InfectionsHumansLymphocyte ActivationSingle-Cell AnalysisVirus Replication

Identifiers

PMID29073251
PMCPMC5658171
OpenAlexW2765133186

What OpenQuestion holds

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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.