@article{8111, keywords = {Algorithms, Bacterial Proteins, Cell Membrane, Cell Wall, Cytosol, Isoelectric Focusing, Models, Biological, Molecular Weight, Mycobacterium leprae, Peptide Mapping, Proteome, Proteomics, Reproducibility of Results, Software, Solubility, Subcellular Fractions, Trypsin}, author = {Marques MA and Neves-Ferreira AGC and Silveira EXK and Valente RH and Chapeaurouge A and Perales J and Silva Bernardes R and Dobos K and Spencer JS and Brennan PJ and Pessolani MC}, title = {Deciphering the proteomic profile of Mycobacterium leprae cell envelope.}, abstract = {

The complete sequence of the Mycobacterium leprae genome, an obligate intracellular pathogen, shows a dramatic reduction of functional genes, with a coding capacity of less than 50%. Despite this massive gene decay, the leprosy bacillus has managed to preserve a minimal gene set, most of it shared with Mycobacterium tuberculosis, allowing its survival in the host with ensuing pathological manifestations. Thus, the identification of proteins that are actually expressed in vivo by M. leprae is of high significance in understanding obligate, intracellular mycobacterial pathogenesis. In this study, a high-throughput proteomic approach was undertaken resulting in the identification of 218 new M. leprae proteins. Of these, 60 were in the soluble/cytosol fraction, 98 in the membrane and 104 in the cell wall. Although several proteins were identified in more than one subcellular fraction, the majority were unique to one. As expected, a high percentage of these included enzymes responsible for lipid biosynthesis and degradation, biosynthesis of the major components of the mycobacterial cell envelope, proteins involved in transportation across lipid barriers, and lipoproteins and transmembrane proteins with unknown functions. The data presented in this study contribute to our understanding of the in vivo composition and physiology of the mycobacterial cell envelope, a compartment known to play a major role in bacterial pathogenesis.

}, year = {2008}, journal = {Proteomics}, volume = {8}, pages = {2477-91}, month = {2008 Jun}, issn = {1615-9861}, doi = {10.1002/pmic.200700971}, language = {eng}, }