We used MASCOT Deamon for submission of multiple searches to a local Mascot server v2.2 (Matrix Science). The search parameters were: Enzyme: trypsin with no proline restriction; Maximum missed cleavages: 3; Carbamidomethyl (C) as fixed Copanlisib ic50 modification; N-acetyl (Protein), oxidation (M), Pyr-Q (Gln to 2-pyrrolidone -5- carboxylic acid-Glu) and Pyr-E (Glu to 2-pyrrolidone -5- carboxylic acid-Glu) as variable modifications; Peptide mass tolerance of ± 15 parts per million; MS/MS mass
tolerance of 0.5 Da. Protein identification and validation was performed with Identify.exe from MaxQuant using the following parameters: peptide and protein false discovery rate: 0.01 (1%), minimal peptide length was 7, and to guarantee a high confidence identification rate, the maximal posterior error probability was set to 0.1 (from a range of 0 to 1); minimal number of unique peptides per protein: 1. The average mass accuracy for the identified peptides was 400 parts per billion. The MS/MS fragments assignments for all identified peptide sequences (including for single peptide-based protein identifications) are freely available at the Tranche network http://proteomecommons.org
(see Supporting Information Available section for more details). Estimation of protein abundance To determine differentially represented membrane proteins between the M. tuberculosis H37Rv and the M. tuberculosis H37Ra strains, we used MaxQuant peak intensity calculations as a Vistusertib chemical structure parameter for protein abundance. www.selleckchem.com/products/rocilinostat-acy-1215.html Previous reports demonstrate a good correlation between peak intensity and protein levels in the sample [26, 27]. To avoid variation due to loading differences between samples on the instrument, individual intensity values of each protein were divided by the sum of all intensities in the sample as a normalization
procedure. Proteins were divided in two categories as follows: I) for proteins identified in both samples, the difference in relative abundance Etomidate between the strains had to be higher than 5 fold; II) for a protein identified in only one of the strains, we required that it had to be identified with a minimal of four different peptides. Such stringent criteria are required to guarantee that a protein identified in only one sample is most probably due to differences in abundance between the samples, and not because parent ions were not identified (but still present) in the MS analysis due to random fluctuation of the MS/MS data-dependant acquisition procedure. Primary sequence analysis The primary sequence analysis of the observed proteins to identify exported proteins were performed using the publically available algorithms: TMHMM version 2 for identification of transmembrane helixes (TMH) in membrane proteins http://www.cbs.dtu.dk/services/TMHMM/, SignalP for prediction of secreted proteins http://www.cbs.dtu.dk/services/SignalP/, and PROSITE for prediction of lipoproteins http://au.expasy.org/prosite/.