Evidence map›Paper›PMID 26274954›Full record

ReviewInternational journal of molecular sciences2015

Detecting Antigen-Specific T Cell Responses: From Bulk Populations to Single Cells.

Chansavath Phetsouphanh, John James Zaunders, Anthony Dominic Kelleher

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
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  11. Identification and Characterization of Antigen-Specific CD8Journal of immunology (Baltimore, Md. : 1950) · 2021
    Article
  12. Review
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  14. 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

3 authors.

Chansavath PhetsouphanhKirby Institute, University of New South Wales, 2031 Sydney, Australia. c.phetsouphanh@gmail.com.
John James ZaundersKirby Institute, University of New South Wales, 2031 Sydney, Australia. jzaunders@kirby.unsw.edu.au.
Anthony Dominic KelleherKirby Institute, University of New South Wales, 2031 Sydney, Australia. akelleher@kirby.unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new generation of sensitive T cell-based assays facilitates the direct quantitation and characterization of antigen-specific T cell responses. Single-cell analyses have focused on measuring the quality and breadth of a response. Accumulating data from these studies demonstrate that there is considerable, previously-unrecognized, heterogeneity. Standard assays, such as the ICS, are often insufficient for characterization of rare subsets of cells. Enhanced flow cytometry with imaging capabilities enables the determination of cell morphology, as well as the spatial localization of the protein molecules within a single cell. Advances in both microfluidics and digital PCR have improved the efficiency of single-cell sorting and allowed multiplexed gene detection at the single-cell level. Delving further into the transcriptome of single-cells using RNA-seq is likely to reveal the fine-specificity of cellular events such as alternative splicing (i.e., splice variants) and allele-specific expression, and will also define the roles of new genes. Finally, detailed analysis of clonally related antigen-specific T cells using single-cell TCR RNA-seq will provide information on pathways of differentiation of memory T cells. With these state of the art technologies the transcriptomics and genomics of Ag-specific T cells can be more definitively elucidated.

Indexed as

AntigensFlow CytometryGenomicsHigh-Throughput Nucleotide SequencingHumansLymphocyte ActivationMicrofluidic Analytical TechniquesPolymerase Chain ReactionSingle-Cell AnalysisT-Cell Antigen Receptor SpecificityT-LymphocytesAntigensantigen-specific T cellsdigital PCRmicrofluidicsmingle-cell RNA-seq

Identifiers

PMID26274954
PMCPMC4581277

What OpenQuestion holds

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Registered trials

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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.