Proteomics

Dataset Information

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Quantitative Mass Spectrometry Reveals Plasticity of Metabolic Networks in Mycobacterium smegmatis


ABSTRACT: Carbon metabolism in Mycobacterium smegmatis was analysed using reverse-phase chromatography coupled to orbitrap high-resolution mass spectrometer using trypsin digestion. MS/MS files were searched against the Mycobacterium smegmatis strain MC2-155 database Release 1 - July 2010 ) by MaxQuant software (version 1.3.0.5). Mass spectra were searched with an initial mass tolerance of 7 ppm in MS mode and 0.5 Da in MS/MS mode. Up to two missed cleavages were allowed. Carbamidomethylation was set as a fixed modification, whereas oxidation (M), acetylation (Protein N-term) and Phospho (S, T, Y) were considered as variable modifications. Minimum required peptide length was set to seven amino acids and at least two (unique + razor) peptides were required for protein identification. A cut-off was fixed at 1% FDR at the peptide and protein level. Reverse and contaminants sequences were removed and proteins with a Posterior Error Probability (PEP) lower than 0.1 were accepted for further data treatment. Protein quantification was performed with razor and unique peptides, using only unmodified, oxidated (M) and acetylated (Protein N-term) peptides. A minimum of two ratio counts was required to quantify proteins.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Mycobacterium Smegmatis (strain Atcc 700084 / Mc(2)155)

SUBMITTER: Romain Hamelin  

LAB HEAD: Moniatte

PROVIDER: PXD000253 | Pride | 2014-07-09

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
MS_A_R1_11.raw Raw
MS_A_R1_2.raw Raw
MS_A_R1_4.raw Raw
MS_A_R1_5.raw Raw
MS_A_R1_6.raw Raw
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Publications

Quantitative mass spectrometry reveals plasticity of metabolic networks in Mycobacterium smegmatis.

Chopra Tarun T   Hamelin Romain R   Armand Florence F   Chiappe Diego D   Moniatte Marc M   McKinney John D JD  

Molecular & cellular proteomics : MCP 20140705 11


Mycobacterium tuberculosis has a remarkable ability to persist within the human host as a clinically inapparent or chronically active infection. Fatty acids are thought to be an important carbon source used by the bacteria during long term infection. Catabolism of fatty acids requires reprogramming of metabolic networks, and enzymes central to this reprogramming have been targeted for drug discovery. Mycobacterium smegmatis, a nonpathogenic relative of M. tuberculosis, is often used as a model s  ...[more]

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