Evidence map›Paper›PMID 34985657›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

A Reliable Primary Cell Model for HIV Latency: The QUECEL (Quiescent Effector Cell Latency) Method.

Meenakshi Shukla, Fredrick Kizito, Uri Mbonye, Kien Nguyen, Curtis Dobrowolski, Jonathan Karn

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Structural rearrangements in the nucleus localize latent HIV proviruses to a perinucleolar compartment supportive of reactivation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. 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 at 2 institutions in 1 country.

Meenakshi ShuklaDepartment of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Fredrick KizitoDepartment of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Uri MbonyeDepartment of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Kien NguyenDepartment of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Curtis DobrowolskiDepartment of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Jonathan KarnDepartment of Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA. jonathan.karn@case.edu.
University School · USCase Western Reserve University · US

Funding

WG3: HIV, Co-infections and Co-morbiditiesP30AI036219 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI Alan David Levine · 1994 to 2026
$50.0M
Control of P-TEFb biogenesis and HIV transcription in primary T-cellsR01AI148083 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI KARN, JONATHAN, MBONYE, URI · 2019 to 2023
$2.0M
NIAID NIH HHS P30 AI036219NIAID NIH HHS R01 AI148083
6 · The paper itself

Abstract

One of the main methods to generate the HIV reservoir is during the transition of infected activated effector CD4 T cells to a memory phenotype. The QUECEL (Quiescent Effector Cell Latency) protocol mimics this process efficiently and allows for production of large numbers of latently infected CD4+ T cells. After polarization and expansion, CD4+ T cells are infected with a single round reporter virus which expressed GFP/CD8a. The infected cells are purified and coerced into quiescence using a defined cocktail of cytokines including TGF-β, IL-10, and IL-8, producing a homogeneous population of latently infected cells. Since homogeneous populations of latently infected cells can be recovered, the QUECEL model has an excellent signal-to-noise ratio, and has been extremely consistent and reproducible in numerous experiments performed during the last 5 years. The ease, efficiency, and accurate mimicking of physiological conditions make the QUECEL model a robust and reproducible tool to study the molecular mechanisms underlying HIV latency.

Indexed as

HIV-1HIV InfectionsCD4-Positive T-LymphocytesCytokinesHumansVirus LatencyVirus ReplicationCytokinesCellular quiescenceCytokinesHIV latencyMemory T-cellsQUECEL model

Identifiers

PMID34985657
PMCPMC12410993
OpenAlexW4205672592

What OpenQuestion holds

Textmetadata
LicenceTDM
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.