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To study the proteome response of Mycobacterium tuberculosis H37Rv to a change in iron level, iron-starved late-log-phase cells were diluted in fresh low- and high-iron media containing [[sup.15]N]-labeled asparagine as the sole nitrogen source for labeling the proteins synthesized upon dilution. We determined the relative protein abundance and protein turnover in M. tuberculosis H37Rv under these two conditions. For measurements, we used a high-resolution hybrid-linear ion trap-Fourier transform mass spectrometer coupled with nanoliquid chromatography separation. While relative protein abundance analysis shows that only 5 proteins were upregulated by high iron, 24 proteins had elevated protein turnover for the cells in the high-iron medium. This suggests that protein turnover is a sensitive parameter to assess the proteome dynamics. Cluster analysis was used to explore the interconnection of protein abundance and turnover, revealing coordination of the cellular processes of protein synthesis, degradation, and secretion that determine the abundance and allocation of a protein in the cytosol and the extracellular matrix of the cells. Further potential utility of the approach is discussed.

We determined the global protein turnover profiles for Mycobacterium smegmatis under acid shock and iron starvation conditions using a simple [sup.15]N isotope doping technique and a complete medium replacement method for chasing. We used a high-resolution hybrid-linear ion trap-Fourier transform mass spectrometer coupled with nanoliqnid chromatography separation to measure protein turnover values for 151 proteins over a dynamic range of 3 orders of magnitude ranging from about 0.2 to 500. Of these 151 proteins, 31 had significant protein turnover changes (p

Understanding the biology of Mycobacterium tuberculosis is one of the primary challenges in current tuberculosis research. Investigation of mycobacterial biology using the systems biology approach has deciphered much information with regard to the bacilli and tuberculosis pathogenesis. The modulation of its environment and the ability to enter a dormant phase are the hallmarks of M. tuberculosis. Until now, proteome studies have been able to understand much about the role of various proteins, mostly in growing M. tuberculosis cells. It has been difficult to study dormant M. tuberculosis by conventional proteomic techniques with very few proteins being found to be differentially expressed. Discrepancy between proteome and transcriptome studies lead to the conclusion that a certain aspect of the mycobacterial proteome is not being explored. Analysis of protein turnover may be the answer to this dilemma. This review, while giving a gist of the proteome response of mycobacteria to various stresses, analyzes the data obtained from abundance studies versus data from protein turnover studies in M. tuberculosis. This review brings forth the point that protein turnover analysis is capable of discerning more subtle changes in protein synthesis, degradation, and secretion activities. Thus, turnover studies could be incorporated to provide a more in-depth view into the proteome, especially in dormant or persistent cells. Turnover analysis might prove helpful in drug discovery and a better understanding of the dynamic nature of the proteome of mycobacteria. [ABSTRACT FROM AUTHOR]

Systems biology and proteomics have recently contributed significantly to the insight into the biogenesis and immunity-related functions of the phagosome. To gain insight into the modulation of the phagosomal proteome by the wild-type Mycobacterium tuberculosis H37Rv reference strain, an attenuated mutant of the H37Rv strain, and the BCG Pasteur vaccine strain, we employed the nano-liquid chromatography/LTQ-FTMS based proteomics approach and a systems biology approach to analyze the bacillus-containing phagosomes purified from the bone-marrow-derived BMA3.A3 macrophages infected with the three different mycobacterial strains. We identified 322 proteins at a false-discovery rate of 2%. These proteins were quantified with a label-free proteomics method. All but one of these proteins is mouse proteins. The gene ontology analysis of these mouse proteins suggests that lysosomal proteins represented <3% of the detected proteins, supporting the observation that these mycobacterial strains inhibit or limit the phagosome maturation process. The results also indicate that the endoplasmic reticulum (ER) proteins do not constitute a major part of the phagosome proteome, supporting the phagosome maturation model of the role of ER in phagosome biogenesis. This phagosome maturation model is in contrast to the phagocytosis model which predicts that half of the phagosome membrane is derived from ER. This pilot study demonstrates that a combination of proteomics, multivariate analysis, and systems biology promises to bring forward new insights into the mycobacterial pathogenesis and the interconnected phagosome biology.