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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Science
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Acceso en línea:https://doaj.org/article/f00dac82845249b8a6fa26d64cff3275
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