Evidence map›Paper›PMID 23169589›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2012

Bioinformatic and empirical analysis of novel hypoxia-inducible targets of the human antituberculosis T cell response.

Hannah P Gideon, Katalin A Wilkinson, Tige R Rustad, Tolu Oni, Heinner Guio, David R Sherman, H Martin Vordermeier, Brian D Robertson, Douglas B Young, Robert J Wilkinson

Open access · bronzeAbstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2012. 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
2.4field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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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

10 authors at 4 institutions in 3 countries.

Hannah P GideonClinical Infectious Diseases Research Initiative, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Katalin A Wilkinson
Tige R Rustad
Tolu Oni
Heinner Guio
David R Sherman
H Martin Vordermeier
Brian D Robertson
Douglas B Young
Robert J Wilkinson
Imperial College London · GBWellcome Centre for Infectious Diseases Research in Africa · ZACenter for Infectious Disease Research · USAnimal and Plant Health Agency · GB

Funding

Medical Research Council MC_U117581288Medical Research Council MC_U117588499Medical Research Council MR/J006874/1Medical Research Council U117588499(88499)Wellcome Trust 077381Wellcome Trust 084323Wellcome Trust 084670Wellcome Trust 088316Wellcome Trust 37882
6 · The paper itself

Abstract

We analyzed whole genome-based transcriptional profiles of Mycobacterium tuberculosis subjected to prolonged hypoxia to guide the discovery of novel potential Ags, by a combined bioinformatic and empirical approach. We analyzed the fold induction of the 100 most highly induced genes at 7 d of hypoxia, as well as transcript abundance, peptide-binding prediction (ProPred) adjusted for population-specific MHC class II allele frequency, and by literature search. Twenty-six candidate genes were selected by this bioinformatic approach and evaluated empirically using IFN-γ and IL-2 ELISPOT using immunodominant Ags (Acr-1, CFP-10, ESAT-6) as references. Twenty-three of twenty-six proteins induced an IFN-γ response in PBMCs of persons with active or latent tuberculosis. Five novel immunodominant proteins-Rv1957, Rv1954c, Rv1955, Rv2022c, and Rv1471-were identified that induced responses similar to CFP-10 and ESAT-6 in both magnitude and frequency. IL-2 responses were of lower magnitude than were those of IFN-γ. Only moderate evidence of infection stage-specific recognition of Ags was observed. Reconciliation of bioinformatic and empirical hierarchies of immunodominance revealed that Ags could be predicted, providing transcriptomic data were combined with peptide-binding prediction adjusted by population-specific MHC class II allele frequency.

Indexed as

AdultAgedAged, 80 and overComputational BiologyGene TargetingGenome, BacterialHumansHypoxiaMiddle AgedMycobacterium tuberculosisPredictive Value of TestsT-Lymphocyte SubsetsTuberculosis, PulmonaryYoung Adult

Identifiers

PMID23169589
PMCPMC3519923
OpenAlexW2105658112

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.