A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection

A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection

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 redu...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Publishing Group 2018-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-04579-w

Internet

https://doi.org/10.1038/s41467-018-04579-w

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