Literature DB >> 23826872

Analysis of differentially expressed proteins in late-stationary growth phase of Mycobacterium tuberculosis H37Rv.

Kai-Cheen Ang1, Pazilah Ibrahim, Lay-Harn Gam.   

Abstract

Mycobacterium tuberculosis is a causative agent of tuberculosis (TB). The ability of M. tuberculosis to be quiescent in the cell has caused the emergence of latent infection. A comprehensive proteomic analysis of M. tuberculosis H37Rv over three growth phases, namely mid-log (14-day culture), early stationary (28-day culture), and late stationary (50-day culture), was performed in order to study the change in proteome from the mid-log phase to late-stationary phase. Combination methods of two-dimensional electrophoresis (2-DE) and tandem mass spectrometry were used to generate proteome maps of M. tuberculosis at different growth phases. Ten proteins were detected differentially expressed in the late-stationary phase compared with the other two phases. These proteins were SucD, TrpD, and Rv2161c, which belong to metabolic pathway proteins; FadE5, AccD5, DesA1, and Rv1139c are proteins involved in cell wall or lipid biosynthesis, whereas TB21.7 and Rv3224 are conserved hypothetical proteins with unknown function. A surface antigen protein, DesA1, was not detectable in the late-stationary phase, although present in both log and early-stationary phases. The changes in the expression levels of these proteins were in line with the growth environment changes of the bacteria from mid-log phase to late-stationary phase. The information gathered may be valuable in the intervention against latent TB infection.
© 2013 International Union of Biochemistry and Molecular Biology, Inc.

Entities:  

Keywords:  Mycobacterium tuberculosis; biomarker; differentially expressed proteins; expression proteomics

Mesh:

Substances:

Year:  2014        PMID: 23826872     DOI: 10.1002/bab.1137

Source DB:  PubMed          Journal:  Biotechnol Appl Biochem        ISSN: 0885-4513            Impact factor:   2.431


  4 in total

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Journal:  Front Microbiol       Date:  2016-09-09       Impact factor: 5.640

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  4 in total

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