Evidence map›Paper›PMID 28605344›Full record

ArticleCritical reviews in immunology2016

Flow Cytometric Characterization of Antigen-Specific T Cells Based on RNA and Its Advantages in Detecting Infections and Immunological Disorders.

Felix Radford, Sanjay Tyagi, Maria Laura Gennaro, Richard Pine, Yuri Bushkin

Abstract read
In one paragraph

Article in Critical reviews in immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Felix RadfordDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520.
Sanjay TyagiPublic Health Research Institute, New Jersey Medical School, Rutgers University, Newark, NJ 07103.
Maria Laura GennaroPublic Health Research Institute, New Jersey Medical School, Rutgers University, Newark, NJ 07103.
Richard PinePublic Health Research Institute, New Jersey Medical School, Rutgers University, Newark, NJ 07103.
Yuri BushkinPublic Health Research Institute, New Jersey Medical School, Rutgers University, Newark, NJ 07103.

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 R01 AI104615NIAID NIH HHS R01 AI106036
6 · The paper itself

Abstract

Fluorescence in situ hybridization coupled with flow cytometry (FISH-Flow) is a highly quantitative, high-throughput platform allowing precise quantification of total mRNA transcripts in single cells. In undiagnosed infections posing a significant health burden worldwide, such as latent tuberculosis or asymptomatic recurrent malaria, an important challenge is to develop accurate diagnostic tools. Antigen-specific T cells create a persistent memory to pathogens, making them useful for diagnosis of infection. Stimulation of memory response initiates T-cell transitions between functional states. Numerous studies have shown that changes in protein levels lag real-time T-cell transitions. However, analysis at the single-cell transcriptional level can determine the differences. FISH-Flow is a powerful tool with which to study the functional states of T-cell subsets and to identify the gene expression profiles of antigen-specific T cells during disease progression. Advances in instrumentation, fluorophores, and FISH methodologies will broaden and deepen the use of FISH-Flow, changing the immunological field by allowing determination of functional immune signatures at the mRNA level and the development of new diagnostic tools.

Indexed as

AnimalsAntigensCell SeparationFlow CytometryHigh-Throughput Screening AssaysHumansImmune System DiseasesImmunologic MemoryInfectionsIn Situ Hybridization, FluorescenceRNAT-Cell Antigen Receptor SpecificityT-LymphocytesT-Lymphocyte SubsetsTranscriptomeAntigensRNA

Identifiers

PMID28605344
PMCPMC5548664

What OpenQuestion holds

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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.