Evidence map›Paper›PMID 20583275›Full record

ReviewCytometry. Part A : the journal of the International Society for Analytical Cytology2010

Good cell, bad cell: flow cytometry reveals T-cell subsets important in HIV disease.

Pratip K Chattopadhyay, Mario Roederer

Abstract readReview
In one paragraph

Review in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 76 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Single cell multiomic analysis of T cell exhaustion in vitro.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022
    Article
  8. Article
  9. Article
  10. HIV Disease Progression: Overexpression of the Ectoenzyme CD38 as a Contributory Factor?BioEssays : news and reviews in molecular, cellular and developmental biology · 2019
    Review
  11. Impact of Endemic Infections on HIV Susceptibility in Sub-Saharan Africa.Tropical diseases, travel medicine and vaccines · 2019
    Review
  12. Article
  13. Cytomegalovirus (CMV) Epitope-Specific CD4Journal of immunology (Baltimore, Md. : 1950) · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2016
    Article
  18. Article
  19. Article
  20. Article
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

2 authors at 2 institutions in 1 country.

Pratip K ChattopadhyayImmunotechnology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. pchattop@mail.nih.gov
Mario Roederer
National Institute of Allergy and Infectious Diseases · USNational Institutes of Health · US

Funding

Flow Cytometry CoreZICAI005101 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2025
$25.7M
Development Of Flow Cytometric Technologies For Immune AssaysZIAAI005020 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2019
$9.6M
Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

Flow cytometry is a key technology in the study of HIV disease. In this article, we review various cellular markers that can be measured in the setting of pathogenesis or vaccination studies, including markers of activation, differentiation, senescence, immune suppression, and function. In addition, we discuss important considerations for making these measurements. Finally, we examine how flow cytometry studies have taught researchers about the disease process, and the potential for flow cytometry technology to guide treatment decisions and evaluate vaccine candidates in the future.

Indexed as

AnimalsBiomarkersCellular SenescenceFlow CytometryHIV InfectionsHumansLymphocyte ActivationT-LymphocytesT-Lymphocyte SubsetsBiomarkers

Identifiers

PMID20583275
PMCPMC2907059
OpenAlexW1983522216

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.