Evidence map›Paper›PMID 31106281›Full record

ArticleCurrent opinion in systems biology2018

The expanding role of systems immunology in decoding the T cell receptor repertoire.

Vanessa Venturi, Paul G Thomas

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Vanessa VenturiInfection Analytics Program, Kirby Institute for Infection and Immunity, UNSW Australia, Sydney, NSW, Australia.
Paul G ThomasDepartment of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
St. Jude Children's Research Hospital · US

Funding

DECODING THE INTERACTIONS BETWEEN T CELL RECEPTORS AND PEPTIDE-MHCR01AI136514 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Paul G. Thomas · 2018 to 2026
$6.9M
Mechanisms to diversify repertoire and modify T cell activity after infectionR01AI107625 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI THOMAS, PAUL G. · 2013 to 2017
$2.3M
A protective role for gamma delta T cells in respiratory infectionR01AI121832 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI THOMAS, PAUL G. · 2016 to 2020
$2.2M
NIAID NIH HHS R01 AI107625NIAID NIH HHS R01 AI121832NIAID NIH HHS R01 AI136514
6 · The paper itself

Abstract

T cells play a crucial role in the immune system's defense against many infectious diseases, including persistent infections for which no effective vaccines currently exist. The T cell component of the adaptive immune system is highly complex involving a constantly evolving landscape of various inter-related T cell populations. These T cell populations are characterized by their phenotypic and functional properties as well as the collection, or repertoire, of T cell receptors (TCR) that mediate T cell recognition of antigenic peptides derived from pathogens. Understanding the various processes and factors that impact the development and evolution of the broader T cell repertoire available to recognize and respond to pathogens and the characteristics of antigen-experienced T cell repertoires associated with effective immune control of pathogens is critical to the rational design of T cell-based vaccines and therapies. In this article we discuss, using examples of recent research, the promise that systems immunology approaches, involving quantitative analysis and mathematical and computational modeling of immunological data, hold for decoding the complex TCR repertoire system in the current era of advancing technologies.

Identifiers

PMID31106281
PMCPMC6519932
OpenAlexW2890455101

What OpenQuestion holds

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LicenceTDM
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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.