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The Use of Functional Genomics in Conjunction with Metabolomics forMycobacterium tuberculosisResearch
Author(s) -
Conrad C. Swanepoel,
Du Toit Loots
Publication year - 2014
Publication title -
disease markers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.912
H-Index - 66
eISSN - 1875-8630
pISSN - 0278-0240
DOI - 10.1155/2014/124218
Subject(s) - metabolomics , genomics , proteomics , mycobacterium tuberculosis , tuberculosis , biology , systems biology , computational biology , functional genomics , genome , comparative genomics , bioinformatics , genetics , medicine , gene , pathology
Tuberculosis (TB), caused by Mycobacterium tuberculosis , is a fatal infectious disease, resulting in 1.4 million deaths globally per annum. Over the past three decades, genomic studies have been conducted in an attempt to elucidate the functionality of the genome of the pathogen. However, many aspects of this complex genome remain largely unexplored, as approaches like genomics, proteomics, and transcriptomics have failed to characterize them successfully. In turn, metabolomics, which is relatively new to the “omics” revolution, has shown great potential for investigating biological systems or their modifications. Furthermore, when these data are interpreted in combination with previously acquired genomics, proteomics and transcriptomics data, using what is termed a systems biology approach, a more holistic understanding of these systems can be achieved. In this review we discuss how metabolomics has contributed so far to characterizing TB, with emphasis on the resulting improved elucidation of M. tuberculosis in terms of (1) metabolism, (2) growth and replication, (3) pathogenicity, and (4) drug resistance, from the perspective of systems biology.

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