MAXLFQ peptide data analysis
Entering edit mode
10 days ago
SHN ▴ 40

Hello All,

I have a quick question regarding a proteomics dataset that is generated by Maxquant/Fragpipe (DI-AN) software. I have two rows for one protein that each row is assigned to a peptide.

portID.        sequence             Treatment1.        Treatment1.        Treatment2         Treatment2
protein1     AADDQILFDT       156535                156345               314642               112323
protein1.    AADDQILFDTR.    128766.               165265               312767               102654

The example of the file is as above. as the two peptide sequences are almost the same for protein1, I want to count them as one and combine the intensities for each treatment. I was wondering what is the rule for this calculations? Do I need to sum them up simply or is there any function as collapse samples in DESeq for the RNA-seqs for the protein seq datas?

Any insights will be appreciated.

chemoproteomics proteomics MAXLFQ • 156 views
Entering edit mode

There is a chance that this is an XY Problem and you just would like to perform differential expression/abundance analysis. If that is the case I would take a look the proteinGroups.txt, this should be the part of the MaxQuant output. Here peptides would be summarized to proteins already.

I am using nf-core/differentialabundance for proteomics and here the pipeline is expecting this file as an input. I know for a fact that there are Bioconductor packages that can utilize proteinGroups.txt but I don't know them by heart.

Entering edit mode

Thanks. I am using the DIA data output and would like to run the DE at the peptide level to see if there is any difference in the expression of that peptide for that protein for the given modification. but I have some sequence data which as you can see, there is one amino acid difference between them with the same modified position. So I am not sure if I have to sum up the peptide values or to run the analysis at the peptide level?


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