Evidence map›Paper›PMID 26658491›Full record

ArticlePloS one2015

Single-Cell Cytokine Gene Expression in Peripheral Blood Cells Correlates with Latent Tuberculosis Status.

Pooja Vir, Riccardo Arrigucci, Karim Lakehal, Amy L Davidow, Richard Pine, Sanjay Tyagi, Yuri Bushkin, Alfred Lardizabal, Maria Laura Gennaro

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Pooja VirPublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Riccardo ArrigucciPublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Karim LakehalPublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Amy L DavidowDepartment of Biostatistics, School of Public Health, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Richard PinePublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Sanjay TyagiPublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Yuri BushkinPublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Alfred LardizabalGlobal Tuberculosis Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Maria Laura GennaroPublic Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, United States of America.
Rutgers, The State University of New Jersey · USBiostat (United States) · US

Funding

FISH-Flow platform for host-based tuberculosis diagnosticsR01AI104615 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI GENNARO, MARIA LAURA · 2013 to 2017
$5.5M
Rapid Analysis of Single T Cell Immunity Signatures in TuberculosisR01AI106036 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI BUSHKIN, YURI, GENNARO, MARIA LAURA · 2012 to 2016
$3.8M
NIAID NIH HHS AI104615NIAID NIH HHS AI106036NIAID NIH HHS R01 AI104615NIAID NIH HHS R01 AI106036
6 · The paper itself

Abstract

RNA flow cytometry (FISH-Flow) achieves high-throughput measurement of single-cell gene expression by combining in-situ nucleic acid hybridization with flow cytometry. We tested whether antigen-specific T-cell responses detected by FISH-Flow correlated with latent tuberculosis infection (LTBI), a condition affecting one-third of the world population. Peripheral-blood mononuclear cells from donors, identified as positive or negative for LTBI by current medical practice, were stimulated ex vivo with mycobacterial antigen. IFNG and IL2 mRNA production was assayed by FISH-Flow. Concurrently, immunophenotypes of the cytokine mRNA-positive cells were characterized by conventional, antibody-based staining of cell-surface markers. An association was found between donor LTBI status and antigen-specific induction of IFNG and IL2 transcripts. Induction of these cytokine genes, which was detected by FISH-Flow in a quarter the time required to see release of the corresponding proteins by ELISA, occurred primarily in activated CD4+ T cells via T-cell receptor engagement. Moreover, NK cells contributed to IFNG gene induction. These results show that antigen-driven induction of T-cell cytokine mRNA is a measurable single-cell parameter of the host responses associated with latent tuberculosis. FISH-Flow read-outs contribute a multi-scale dimension to the immunophenotyping afforded by antibody-based flow cytometry. Multi-scale, single-cell analyses may satisfy the need to determine disease stage and therapy response for tuberculosis and other infectious pathologies.

Indexed as

Case-Control StudiesCytokinesFlow CytometryGene Expression RegulationHumansIn Situ Hybridization, FluorescenceInterferon-gammaInterleukin-2Latent TuberculosisLeukocytes, MononuclearLymphocyte ActivationT-LymphocytesCytokinesInterferon-gammaInterleukin-2

Identifiers

PMID26658491
PMCPMC4681842
OpenAlexW2211897770

What OpenQuestion holds

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LicenceCC BY
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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.