MS/MS spectra were searched using Proteome Discovery software suite (v1.4) and Mascot (v2.5) as search engine. Acquired data were searched against an in-house generated database containing all the spiked-in proteins (Supplementary Table 2), and the E. coli Swissprot protein database (November 2015 version). Precursor ion mass tolerance was set to 4.5 ppm at the MS1 level and to 0.5 Da at the fragment ion level. Up to three missed cleavages for trypsin were allowed. Oxidation of methionine and protein N-terminal acetylation were considered as variable modifications, whereas carbamidomethylation on cysteines was set as a fixed modification. False discovery rate (FDR) in peptide identification was evaluated by using a decoy database and it was set to a maximum of 1%. Peptide areas were extracted with the Precursor Area Ion Detector module of Proteome Discoverer with a mass tolerance of 2 ppm. The report for PSM level is used for downstream statistical analysis. The differential abundance analysis was performed by MSstats R package. Quantification result is the same as in RMSV000000261.4. Top 5 features were used for statistical analysis in MSstats R package for this reanalysis.
**Publication : Tsai TH, Choi M, Banfai B, Liu Y, MacLean BX, Dunkley T, Vitek O. (2020). Selection of features with consistent proles improves relative protein quantification in mass spectrometry experiments. Molecular & Cellular Proteomics. 2020 March 31, 19(6) 944-959, doi:10.1074/mcp.RA119.001792. PMID: 32234965.
[doi:10.25345/C5XH9G]
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Keywords: MassIVE.quant reviewed - Platinum
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Identification Results | |
Proteins (Human, Remapped):
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PSMs:
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Quantification Results | |
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Browse Reanalysis Files | |
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