A spectral library was generated using all available raw files (24 DDA files plus 24 DIA files) using the Pulsar search engine integrated in Spectronaut 11(11.0.15038) with default settings. Data processing was performed as described in the original manuscript. The uniprot human reference proteome from 2017.06.14 was used for the spectrum centric data analysis for library generation. Further included were the custom FASTA file for the spike-in proteins as well as the MaxQuant contaminants FASTA file. The resulting library was further filtered to remove all overlapping peptide sequences between the human background proteome and the spike-in proteins. DIA data was then analyzed using default settings and exported using the built in MSstats Report (v3.7.3) export schema. Quantification result is the same as in RMSV000000252.2. The differential abundance analysis was performed by MSstats (v3.16.2) R package: Top 3 features were used for this reanalysis. Details for data processing and statistical analysis are available in description.pdf.
**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/C55B1W]
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Keywords: MassIVE.quant reviewed - Platinum
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