Systems Biology of Tuberculosis by Neema Jamshidi, Aarash Bordbar, Bernhard Palsson (auth.),

By Neema Jamshidi, Aarash Bordbar, Bernhard Palsson (auth.), Johnjoe McFadden, Dany J.V. Beste, Andrzej M. Kierzek (eds.)

The e-book starts off with a normal creation into the relevance of platforms biology for figuring out tuberculosis. this can be through a number of chapters which describe the appliance of platforms biology to varied points of the learn of the pathogen, Mycobacterium tuberculosis, and its interplay with the host. The e-book offers the reader with an account of the way the recent technological know-how of structures biology is delivering novel insights into the traditional scourge of tuberculosis. it is going to additionally describe how platforms biology may be utilized to the keep an eye on of tuberculosis, together with the advance of latest remedies, vaccines and diagnostics.

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M. tuberculosis proteins [55]. targetTB is a pipeline that defined 451 high-confidence drug targets both applicable broadly to several pathogens and specifically to M. tuberculosis. In a follow-up to targetTB and predicting drug targets, Raman et al. defined a “reactome” network for M. tuberculosis using iNJ661 [56]. The network was constructed by determining the protein–protein dependencies in M. tuberculosis by looking at the “nearness” of proteins with iNJ661. A metabolic disruptability index was defined for the reactions of the network, representing the systematic impact of a perturbation on the network.

This study exploited transposon site hybridization, a microarray-based technique that was previously developed to comprehensively identify genes from large pools of transposon mutants that were essential for MTB growth under a variety of conditions [2]. Based on this method a screen was devised to identify the MTB transposon mutants that were unable to survive in murine macrophages that were either unactivated or activated with IFN-a either prior to or subsequent to infection. The rationale behind this experimental design was to simulate the in vivo conditions of initial and/or latent infection, as well as those wherein the infected 3 Probing Gene Regulatory Networks to Decipher Host–Pathogen Interactions 39 macrophages were under pressure from an ongoing immune response.

PLoS Comput Biol 5(2):e1000292 66. Thiele I, Jamshidi N, Fleming RM, Palsson BO (2009) Genome-scale reconstruction of Escherichia coli’s transcriptional and translational machinery: a knowledge base, its mathematical formulation, and its functional characterization. PLoS Comput Biol 5(3):e1000312 67. Thiele I, Palsson BO (2010) Reconstruction annotation jamborees: a community approach to systems biology. Mol Syst Biol 6:361 68. The Institute for Genomic Research. org/ 69. Porcelli AM, Ghelli A, Zanna C, Pinton P, Rizzuto R, Rugolo M (2005) pH difference across the outer mitochondrial membrane measured with a green fluorescent protein mutant.

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