Evidence map›Paper›PMID 35784650›Full record

ArticleCell reports methods2022

Development of an HIV reporter virus that identifies latently infected CD4

Eun Hye Kim, Lara Manganaro, Michael Schotsaert, Brian D Brown, Lubbertus C F Mulder, Viviana Simon

Abstract read
In one paragraph

Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Reporter-expressing viruses for antiviral drug discovery research.Frontiers in cellular and infection microbiology · 2025
    Review
  11. Article
  12. Article
  13. Review
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

6 authors.

Eun Hye KimDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Lara ManganaroINGM, Istituto Nazionale di Genetica Molecolare, 'Romeo ed Enrica Invernizzi', Milan, Italy.
Michael SchotsaertDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Brian D BrownPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Lubbertus C F MulderDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Viviana SimonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Funding

Preventing CD4+ T memory cells from becoming HIV reservoirsR01AI136916 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SIMON, VIVIANA A · 2018 to 2021
$2.4M
HIV-1-dependent HERV-K proteomeR21AI150355 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MULDER, LUBBERTUS C · 2020 to 2021
$484k
NIAID NIH HHS R01 AI136916NIAID NIH HHS R21 AI150355
6 · The paper itself

Abstract

There is no cure for HIV infection, as the virus establishes a latent reservoir, which escapes highly active antiretroviral treatments. One major obstacle is the difficulty identifying cells that harbor latent proviruses. We devised a single-round viral vector that carries a series of versatile reporter molecules that are expressed in an LTR-dependent or LTR-independent manner and make it possible to accurately distinguish productive from latent infection. Using primary human CD4

Indexed as

HIV-1HIV InfectionsLatent InfectionCD4-Positive T-LymphocytesHumansProvirusesVirus LatencyCD4+ T cell subsetsCD4+ T memory cellsCD4+ T stem cellsHIV-1HIV integrationHIV persistenceHIV reservoirlatency establishmentmass cytometryreporter virus

Identifiers

PMID35784650
PMCPMC9243624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.