Using safeQuant.R Updated 2015-03-13 Author: erikahrne Contact: erik.ahrne@unibas.ch ### Basic usage common to all workflows ### 1) Navigate to the folder where the safeQuant.R script is installed. mymac:exec erikahrne$ cd /Users/erikahrne/dev/R/workspace/SafeQuant/exec 2) Display help mymac:exec erikahrne$ Rscript safeQuant.R -h 3) Specify input file mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/QI_2.0/peptide_measurements1.csv 4) Define experimental design 2 Conditions. Control Samples: 1,2,3. Case 1: Samples 4,5 mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/QI_2.0/peptide_measurements2.csv --EX 1,2,3:4,5 3 Conditions. Control Samples: 4,5. Case 1: Samples 1,2. Case 2: Sample 3 mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/QI_2.0/peptide_measurements2.csv --EX 4,5:1,2:3 2 Conditions. Control Samples: 4,5. Case 1: Sample 1 mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/QI_2.0/peptide_measurements2.csv --EX 4,5:1 5) Require at least X peptide per protein mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/QI_2.0/peptide_measurements2.csv --FN 2 LFQ Protein Relative Quantification ### TO BE REVIEWED Compatible with Feature, Protein and Peptide Measurement Progenesis .csv exports. If using Progenesis QI 2.0 or later we recommend using Peptide Measurement Progenesis exports. To export: - File -> Export Peptide Measurements. This option is available once you have reached the "Resolve Conflicts" Step in Progenesis QI. - When choosing properties to be included in the exported file check the "Grouped accessions (for this sequence)" check box. ### LFQ Phospho Relative Quantification ### mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/2014/peptides1_FILTERED.csv -f ../inst/testData/2014/sp_hum_160512.decoy.fasta --FM phospho Ð-EP ÐFS 2 -f ../inst/testData/2014/sp_hum_160512.decoy.fasta Supply protein (.fasta) database so that all phospho sites will be annotated with their protein position (amino acid number starting from n-term) as well as sequence motifs (motif-X input format http://motif-x.med.harvard.edu/). --FM phospho Filter data to only include phospho peptides --EP Do not carry out Protein level quantification --FS 2 Filter data to only include peptides carrying maximum 2 variable PTMs. ### TMT Protein Relative Quantification ### mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/2014/TMT_10-Plex_Scaffold_Raw_Export_Example.xls Make sure to specifiy the experimental design if needed using (--EX flag). TMT 6-plex default experimental design is 1,2,3:4,5,6 TMT 10-plex default experimental design is 1,2,3,4:5,6,7:8,9,10 ### LFQ Protein Absolute Abundance Estimation ### Calculate intensity-based absolute-protein-quantification (iBAQ) metric per protein. Reference: Global quantification of mammalian gene expression control, Schwanhausser (2011), \url{http://www.ncbi.nlm.nih.gov/pubmed/21593866} mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/2014/peptides2_FILTERED.csv -f ../inst/testData/2014/sp_mouse_160512.decoy.fasta ÐAI Calculate Top3 (Mean of X most intense features) Reference: Absolute quantification of proteins by LCMSE: A virtue of parallel MS acquisition, Silva (2006), \url{http://www.ncbi.nlm.nih.gov/pubmed/16219938} mymac:exec erikahrne$ Rscript safeQuant.R -i ../inst/testData/2014/peptides2_FILTERED.csv --AT