Evidence map›Paper›PMID 33762410›Full record

ArticleJournal of virology2021

Defining stable reference genes in HIV latency reversal experiments.

Cristina Ceriani, Gabrielle S Streeter, Kena J Lemu, Katherine S James, Simon Ghofrani, Brigitte Allard, Bonnie E Shook-Sa, David M Margolis, Nancie M Archin

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  5. HIV-1 latency reversal agent boosting is not limited by opioid use.medRxiv : the preprint server for health sciences · 2024
    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

9 authors at 1 institution in 1 country.

Cristina CerianiUNC HIV Cure Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States.
Gabrielle S StreeterBiostatistics Core, Center for AIDS Research, University of North Carolina, Chapel Hill, NC 27514, USA.
Kena J LemuUNC HIV Cure Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States.
Katherine S JamesUNC HIV Cure Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States.
Simon GhofraniUNC HIV Cure Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States.
Brigitte AllardUNC HIV Cure Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States.
Bonnie E Shook-SaBiostatistics Core, Center for AIDS Research, University of North Carolina, Chapel Hill, NC 27514, USA.
David M MargolisUNC HIV Cure Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States.
Nancie M ArchinUNC HIV Cure Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, United States nancie_archin@med.unc.edu.ORCID https://orcid.org/0000-0002-7938-0389
University of North Carolina at Chapel Hill · US

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Collaboratory of AIDS Researchers for Eradication (CARE)UM1AI126619 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MARGOLIS, DAVID M. · 2016 to 2020
$23.2M
The HIV Reservoir in Women: Implications for HIV cure interventionsR01AI134363 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ARCHIN, NANCIE MARIE · 2017 to 2020
$2.2M
NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI134363NIAID NIH HHS UM1 AI126619
6 · The paper itself

Abstract

Quantification of cell associated HIV RNA (ca-RNA) is one of the most important and commonly used methods to evaluate the performance of latency-reversing agents (LRAs). Copies of HIV RNA measured by qPCR, are often normalized to the input RNA or cell number. However, these could be affected by biological variability and/or technical errors, which can be avoided by using an internal reference gene. To obtain reliable data, it is essential to select stable reference genes (RGs) of which the expression is not influenced by biological variability, the type of cells, or the LRAs used. However, to date, no study has carefully evaluated RG stability following LRA exposure. We analyzed the stability of six widely used RGs (

Identifiers

PMID33762410
PMCPMC8139712
OpenAlexW3137014333

What OpenQuestion holds

Textmetadata
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.