MSstatsTMT is an R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling. It is applicable to isobaric labeling quantitative proteomics, including iTRAQ and TMT data. MSstatsTMT provides functionalities for two types of analysis: 1) Protein summarization based on peptide quantification data and visualization; 2) Model-based group comparison to detect significant changes in abundance.
Notes
MSstatsTMT 11 column format: For TMT datasets an additional 'Channel' column is required, which has to be in the format 'channel.X' with X being the channel number..
#> ProteinName PeptideSequence #> 1 sp|Q60854|SPB6_MOUSE .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR #> 2 sp|Q60854|SPB6_MOUSE .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR #> 3 sp|Q60854|SPB6_MOUSE .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR #> 4 sp|Q60854|SPB6_MOUSE .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR #> 5 sp|Q60854|SPB6_MOUSE .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR #> 6 sp|Q60854|SPB6_MOUSE .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR #> Charge PSM Mixture #> 1 3 .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR_3 3 #> 2 3 .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR_3 3 #> 3 3 .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR_3 3 #> 4 3 .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR_3 3 #> 5 3 .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR_3 3 #> 6 3 .(TMT6plex)AFVEVNEEGTEAAAATAGMM(Oxidation)TVR_3 3 #> TechRepMixture Run Channel BioReplicate Condition Intensity #> 1 3_3 3_3_3 channel.1 21 Long_HF NA #> 2 3_3 3_3_3 channel.2 22 Norm 1068.580 #> 3 3_3 3_3_3 channel.3 23 Long_M 1508.330 #> 4 3_3 3_3_3 channel.4 24 Long_HF NA #> 5 3_3 3_3_3 channel.5 25 Long_LF 1580.951 #> 6 3_3 3_3_3 channel.6 26 Long_HF 1820.072For more information please visit the MSstatsConvert documentation
Comparison matrix as tabular file
1st column: name of comparison
additionally one column for each condition that is present in the tabular file. Use 1 and -1 to indicate the conditions to compare and 0 for conditions that are not compared. Multiple groups can be combined by using 0.5.
first row contains the names of the groups, they must exactly match the condition name used in the annotation file
each additional row represents one comparison
Example for a two group comparison
names groupA groupB groupA-groupB 1 -1Example for an experiment with 5 groups and 4 different comparisons
names G1 G2 G3 G4 G5 G2-G1 -1 1 0 0 0 G4-G5 0 0 0 1 -1 G3-G5 0 0 -1 0 1 G1+G2-G5 0.5 0.5 0 0 -1
For additional help please visit the MSstatsTMT documentation