A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection

Akul Singhania; Raman Verma; Christine M. Graham; Jo Lee; Trang Tran; Matthew Richardson; Patrick Lecine; Philippe Leissner; Matthew P. R. Berry; Robert J. Wilkinson; Karine Kaiser; Marc Rodrigue; Gerrit Woltmann; Pranabashis Haldar; Anne O’Garra

doi:10.1038/s41467-018-04579-w

Nature Communications (Jun 2018)

A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection

Akul Singhania,
Raman Verma,
Christine M. Graham,
Jo Lee,
Trang Tran,
Matthew Richardson,
Patrick Lecine,
Philippe Leissner,
Matthew P. R. Berry,
Robert J. Wilkinson,
Karine Kaiser,
Marc Rodrigue,
Gerrit Woltmann,
Pranabashis Haldar,
Anne O’Garra

Affiliations

Akul Singhania: Laboratory of Immunoregulation and Infection, The Francis Crick Institute
Raman Verma: Respiratory Biomedical Research Centre, Institute for Lung Health, Department of Infection, Immunity and Inflammation, University of Leicester
Christine M. Graham: Laboratory of Immunoregulation and Infection, The Francis Crick Institute
Jo Lee: Respiratory Biomedical Research Centre, Institute for Lung Health, Department of Infection, Immunity and Inflammation, University of Leicester
Trang Tran: BIOASTER Microbiology Technology Institute
Matthew Richardson: Respiratory Biomedical Research Centre, Institute for Lung Health, Department of Infection, Immunity and Inflammation, University of Leicester
Patrick Lecine: BIOASTER Microbiology Technology Institute
Philippe Leissner: BIOASTER Microbiology Technology Institute
Matthew P. R. Berry: Department of Respiratory Medicine, Imperial College Healthcare NHS Trust, St Mary’s Hospital
Robert J. Wilkinson: Wellcome Centre for Infectious Diseases Research, Africa, Institute for Infectious Diseases and Molecular Medicine, University of Cape Town
Karine Kaiser: Medical Diagnostic Discovery Department, bioMérieux SA
Marc Rodrigue: Medical Diagnostic Discovery Department, bioMérieux SA
Gerrit Woltmann: Respiratory Biomedical Research Centre, Institute for Lung Health, Department of Infection, Immunity and Inflammation, University of Leicester
Pranabashis Haldar: Respiratory Biomedical Research Centre, Institute for Lung Health, Department of Infection, Immunity and Inflammation, University of Leicester
Anne O’Garra: Laboratory of Immunoregulation and Infection, The Francis Crick Institute

DOI: https://doi.org/10.1038/s41467-018-04579-w
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 17

Abstract

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Mass screening diagnostics for Mycobacterium tuberculosis exist, but criticisms exist regarding the sensitivity and specificity of these tools. Here the authors use RNA-Seq and a modular bioinformatics approach using data from their own cohorts and meta-analysis of published cohorts to create a reduced signature for detection of tuberculosis that does not detect other diseases.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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