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. 2018 Mar 22;8:5079. doi: 10.1038/s41598-018-22884-8

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Meta-analytic approach to identify the gene expression signatures induced in host-pathogen environment upon infection by Mtb. (A) Initially the gene expression microarray datasets of human macrophages and Mtb were collected from Gene Expression Omnibus (GEO) (B). We have used R package to generate the ranked list of differentially expressed genes by comparing the samples of infected macrophages versus normal and in vitro Mtb vs. intracellular. (C) The ranked list of differentially expressed genes were combined using previously developed meta-analytic method to generate a consensus ranked list of the differentially expressed genes in macrophages as well as in Mtb.