Evidence map›Paper›PMID 24124462›Full record

ArticlePloS one2013

Characterization of transcription factor phenotypes within antigen-specific CD4+ T cells using qualitative multiplex single-cell RT-PCR.

Chansavath Phetsouphanh, Yin Xu, Janaki Amin, Nabila Seddiki, Francesco Procopio, Rafick Pierre Sekaly, John J Zaunders, Anthony D Kelleher

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. CD73International journal of molecular sciences · 2021
    Article
  7. Article
  8. Factoring in CD4 T cells during treatment of HIV.Immunology and cell biology · 2017
    Article
  9. Article
  10. Article
  11. Review
  12. 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

8 authors at 3 institutions in 2 countries.

Chansavath PhetsouphanhKirby Institute, University of New South Wales, Sydney, Australia ; Centre for Applied Medical Research, St Vincent's Hospital, Sydney, Australia.
Yin Xu
Janaki Amin
Nabila Seddiki
Francesco Procopio
Rafick Pierre Sekaly
John J Zaunders
Anthony D Kelleher
St Vincent's Hospital Sydney · AUUNSW Sydney · AUVaccine & Gene Therapy Institute of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current research on antigen specific CD4+ T cells indicates that there is functional and phenotypic heterogeneity within these populations, but the extent of this heterogeneity is poorly described. The CD134/CD25 assay allows live isolation of antigen specific cells in vitro for down-stream molecular analysis. Antigen specific CD4+ T cells were examined at the molecular level by lineage specific transcription factor profiling using qualitative multiplex single cell RT-PCR and Lock Nucleic Acid (LNA) probes allowed unbiased amplification and delineation of expression of Tbx21, Gata3, Rorc, Foxp3 and Bcl-6. It overcomes the limitations of previous assays by allowing identification of transcription factor mRNA in single antigen specific cells with high sensitivity (down to 10 femtograms) and specificity. Patterns of responses can be robustly characterized using <200 cells based on exact binomial calculations. These results are reproducible with a CV of ≈6%. The patterns of heterogeneity are stable within an individual antigen specific response but vary between responses to different antigens. Responses to CMV have a Th1 predominant profile (35.6% of responding cells expressing tbx21) whereas responses to Tetanus Toxoid have a Th2 biased profile (22% of responding cells expressing gata3), with unexpectedly high levels of Treg cells found in both populations. Here we describe a methodology that allows live isolation of Ag specific cells and transcription factor profiling at a single cell level to robustly delineate the different CD4+ T cell subsets within this population. This novel method is a powerful tool that can be used to study CD4+ T cell heterogeneity within extremely small populations of cells and where cell numbers are limited.

Indexed as

CD4-Positive T-LymphocytesCell LineDNA-Binding ProteinsForkhead Transcription FactorsGATA3 Transcription FactorHumansNuclear Receptor Subfamily 1, Group F, Member 3Proto-Oncogene Proteins c-bcl-6Reproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionT-bet Transcription FactorT-Box Domain ProteinsTranscription FactorsBCL6 protein, humanDNA-Binding ProteinsForkhead Transcription FactorsFOXP3 protein, humanGATA3 protein, humanGATA3 Transcription FactorNuclear Receptor Subfamily 1, Group F, Member 3Proto-Oncogene Proteins c-bcl-6RORC protein, humanT-bet Transcription FactorT-Box Domain ProteinsTranscription Factors

Identifiers

PMID24124462
PMCPMC3790772
OpenAlexW2048797435

What OpenQuestion holds

Textmetadata
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.