Evidence map›Paper›PMID 25857935›Full record

ArticleTuberculosis (Edinburgh, Scotland)2015

Identification of novel Mycobacterium tuberculosis CD4 T-cell antigens via high throughput proteome screening.

Kaustuv Nayak, Lichen Jing, Ronnie M Russell, D Huw Davies, Gary Hermanson, Douglas M Molina, Xiaowu Liang, David R Sherman, William W Kwok, Junbao Yang and 5 more

Open access · greenAbstract read
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  10. T CELL EPITOPES OF THEAfrican journal of infectious diseases · 2018
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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

15 authors at 8 institutions in 2 countries.

Kaustuv NayakICGEB-Emory Vaccine Center, International Center for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi 110067, India. Electronic address: kaustuvnayak@gmail.com.
Lichen JingDepartment of Medicine, Division of Infectious Diseases, University of Washington, Box 358061, Seattle, WA 98195, USA. Electronic address: lchjing@u.washington.edu.
Ronnie M RussellDepartment of Medicine, Division of Infectious Diseases, University of Washington, Box 358061, Seattle, WA 98195, USA. Electronic address: ronnie53@u.washington.edu.
D Huw DaviesDepartment of Medicine, Division of Infectious Diseases, University of California, Room 376D Med-Surg II, Irvine, CA 92697-4068, USA; Antigen Discovery, Inc., 1 Technology Drive Suite E309, Irvine, CA 92618, USA. Electronic address: ddavies@uci.edu.
Gary HermansonAntigen Discovery, Inc., 1 Technology Drive Suite E309, Irvine, CA 92618, USA. Electronic address: ghermason@antigendiscovery.com.
Douglas M MolinaAntigen Discovery, Inc., 1 Technology Drive Suite E309, Irvine, CA 92618, USA. Electronic address: dmolina@antigendiscovery.com.
Xiaowu LiangAntigen Discovery, Inc., 1 Technology Drive Suite E309, Irvine, CA 92618, USA. Electronic address: xliang@immport-inc.com.
David R ShermanSeattle Biomedical Research Institute, 307 Westlake Ave. North, No. 500, Seattle, WA 98109, USA; Department of Global Health, University of Washington, Box 359931, Seattle, WA 98195, USA. Electronic address: david.sherman@seattlebiomed.org.
William W KwokBenaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA, 98101, USA. Electronic address: bkwok@benaroyaresearch.org.
Junbao YangBenaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA, 98101, USA. Electronic address: jyang@benaroyaresearch.org.
John KennethDivision of Infectious Diseases, St. John's Research Institute, St. John's National Academy of Health Sciences, Sarjapur Road, Koramangala 2 Block, Bangaluru, Karnataka 560034, India. Electronic address: Johnkennet@gmail.com.
Syed F AhamedDivision of Infectious Diseases, St. John's Research Institute, St. John's National Academy of Health Sciences, Sarjapur Road, Koramangala 2 Block, Bangaluru, Karnataka 560034, India. Electronic address: mail2fazil@gmail.com.
Anmol ChandeleICGEB-Emory Vaccine Center, International Center for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi 110067, India; Emory Vaccine Center, 1510 Clifton Road, Atlanta, GA 30329, USA. Electronic address: chandeleanmol@gmail.com.
Kaja Murali-KrishnaICGEB-Emory Vaccine Center, International Center for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi 110067, India; Emory Vaccine Center, 1510 Clifton Road, Atlanta, GA 30329, USA; Department of Pediatrics, Emory University, 1760 Haygood Drive, Atlanta, GA 30322, USA. Electronic address: murali.kaja@emory.edu.
David M KoelleDepartment of Medicine, Division of Infectious Diseases, University of Washington, Box 358061, Seattle, WA 98195, USA; Department of Global Health, University of Washington, Box 359931, Seattle, WA 98195, USA; Benaroya Research Institute at Virginia Mason, 1201 9th Ave., Seattle, WA, 98101, USA; Department of Laboratory Medicine, University of Washington, Box 358070, Seattle, WA 98195, USA; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, 1100 Eastlake Ave. East, Seattle, WA 98109, USA. Electronic address: viralimm@u.washington.edu.
Antigen Discovery (United States) · USBenaroya Research InstituteInternational Centre for Genetic Engineering and Biotechnology · INSt. John's National Academy of Health Sciences · INUniversity of Washington · USCenter for Infectious Disease Research · USEmory Healthcare · USVirginia Mason Medical Center · US

Funding

Seriodiagnostic arrays for biodefense and emerging infectious diseasesR44AI058365 · NIAID · IMMPORT THERAPEUTICS, INC. · PI DAVIES, DAVID HUW · 2008 to 2010
$3.0M
Genomic systems approach to measure HSV-1-specific T-cell dominance in humansR01AI094019 · NIAID · UNIVERSITY OF WASHINGTON · PI KOELLE, DAVID M · 2012 to 2016
$1.9M
NIAID NIH HHS HHSN272200900043CNIAID NIH HHS R01 AI094019NIAID NIH HHS R44 AI058365NIAID NIH HHS R44AI58365PHS HHS HHSN272200900043CPHS HHS R01094019
6 · The paper itself

Abstract

Elicitation of CD4 IFN-gamma T cell responses to Mycobacterium tuberculosis (MTB) is a rational vaccine strategy to prevent clinical tuberculosis. Diagnosis of MTB infection is based on T-cell immune memory to MTB antigens. The MTB proteome contains over four thousand open reading frames (ORFs). We conducted a pilot antigen identification study using 164 MTB proteins and MTB-specific T-cells expanded in vitro from 12 persons with latent MTB infection. Enrichment of MTB-reactive T-cells from PBMC used cell sorting or an alternate system compatible with limited resources. MTB proteins were used as single antigens or combinatorial matrices in proliferation and cytokine secretion readouts. Overall, our study found that 44 MTB proteins were antigenic, including 27 not previously characterized as CD4 T-cell antigens. Antigen truncation, peptide, NTM homology, and HLA class II tetramer studies confirmed malate synthase G (encoded by gene Rv1837) as a CD4 T-cell antigen. This simple, scalable system has potential utility for the identification of candidate MTB vaccine and biomarker antigens.

Indexed as

AdultAntigens, BacterialBacterial ProteinsCD4-Positive T-LymphocytesCell ProliferationCells, CulturedCell SeparationCross ReactionsCytokinesEpitopes, T-LymphocyteHigh-Throughput Screening AssaysHumansLatent TuberculosisLymphocyte ActivationMiddle AgedMycobacterium tuberculosisAntigens, BacterialBacterial ProteinsCytokinesEpitopes, T-LymphocyteTuberculosis VaccinesAntigenCD137CD4Malate synthaseT-cellTetramerTuberculosis

Identifiers

PMID25857935
PMCPMC4618479
OpenAlexW2047272183

What OpenQuestion holds

Textmetadata
LicenceTDM
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.