Cell suspension (1 mL) was added to lysing matrixE tubes (MP Biomedicals, UK) inside the cabinet and the cells were lysed
mechanically by treatment in a Fastprep150 instrument for 2 min (4 × 30 s treatment, 2-min cooling on ice). Homogenates were first centrifuged at 25 000 g to remove unbroken cells and debris and the resultant supernatants were subsequently ultracentrifuged (150 000 g, 2 h, 3–5 °C, Beckman L8-M centrifuge/70.1 Ti rotor) to pellet the insoluble proteins, following which the supernatant was removed. The insoluble pellet was resolubilized by gentle sonication in resolubilization buffer (1 mL) as described previously (Graham et al., 2006b), and the protein concentration was measured using the Bradford (1976)
assay. Samples were reduced and alkylated before electrophoresis and protein (42 μg) from each duplicate was electrophoresed and stained (Graham et al., 2006b). Lanes were excised from learn more the gel and cut into seven fractions based on molecular mass and an in-gel tryptic digest was carried out as described previously (Graham et al., 2006b). LC-MS of peptide samples was performed as described by Graham et al. (2006a, b) using a 60-min nano-LC gradient. Protein identification was carried out using an internal mascot server (version 1.9; Matrix Science, London, LDK378 ic50 UK) searching against a combined C. difficile genomic DNA and plasmid database (Reference sequence NC_0090989 and NC_008226, respectively) downloaded from NCBI (20 June 2007) and containing 3573 sequences in total. Peptide tolerance was set at 1.2 Da with an MS/MS tolerance of 0.6 Da and the search set to allow for one missed tryptic cleavage. To expedite the curation of the identified protein list from mascot, the resultant mascot output only files were reanalysed against the extracted C. difficile database using provalt (Weatherly et al., 2005), which takes
multiple mascot results and identifies matching peptides. Redundant peptides are removed and related peptides are grouped together, associated with their predicted matching protein. provalt also uses peptide matches from a random database (in this case, the C. difficile database was randomized) to calculate the false-discovery rates (FDR) for protein identifications as described previously by Weatherly et al. (2005). In the current work, FDR was set at 1%; thus, 99% of the proteins identified should be correct. The workflow used in our gel-based analysis firstly isolated the insoluble fraction of the proteome from duplicate C. difficile cultures by ultracentrifugation, yielding a protein concentration of 22.4 mg mL−1. Because of the complex nature of the peptide mixtures being analysed and the chance nature of automated selection of peptides for MS analysis (Graham et al., 2006a, b), the separation capabilities of the LC-MS system can often be exceeded.
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