DigestR an open-source software tool for visualizing LC-MS proteomics data resulting from natural protein catabolism
de Lamache, D. D.; Aburashed, R.; Wacker, S.; Lewis, I. A.
Show abstract
Protein catabolism is an essential biological function supported by every living organism. Although liquid chromatography mass spectrometry proteomics has advanced considerably over the past decade, protein catabolism in natural systems is still difficult to study. One reason for this is the lack of software tools designed specifically for decoding the complex mixtures of peptides that result from in vivo protein digestion. To address this, we developed DigestR, an open-source software tool designed specifically for the analysis of LC-MS proteomics data. DigestR allows users to visualize naturally occurring peptides and align them to a reference proteome at display them at either a proteome-wide and protein-specific level. These visualization tools allow users to track the patters of peptides occurring in natural systems and map naturally-occurring proteolytic cut sites. To demonstrate these functions, we used DigestR to analyze a mixture of peptides resulting from the in vitro digestion of human hemoglobin and bovine albumin with a cocktail of well characterized proteases. As expected, DigestR correctly identified both the proteins involved and the proteolytic cut sites produced by our protease cocktail. We then used DigestR to analyze the complex semi-ordered hemoglobin digestion pathway used by the malaria parasite Plasmodium falciparum. We show that DigestR successfully identified the proteolytic cut sites linked to the Plasmepsins, a protease known to be involved in hemoglobin digestion by the parasite. Collectively, these findings show that DigestR can be used to help visualize and interpret the complex mixtures of peptides occurring through in vivo protein catabolism. DigestR can be downloaded from www.lewisresearchgroup.org/software.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A systematic evaluation of yeast sample preparation protocols for spectral identifications, proteome coverage and post-isolation modifications 95%
- Identification of plasma proteins associated with oesophageal cancer chemotherapeutic treatment outcomes using SWATH-MS 94%
- Proteomic analysis of liver tissue reveals Aeromonas hydrophila infection mediated modulation of host metabolic pathways in Labeo rohita 93%
Similar papers in this journal
- Framework for analyzing MAE-derived immunopeptidomes from cell lines with shared HLA haplotypes 94%
- Laser capture microdissection in combination with mass spectrometry: Approach to characterization of tissue-specific proteomes of Eudiplozoon nipponicum (Monogenea, Polyopisthocotylea) 94%
- Proteomic profiling of Mycobacterium tuberculosis culture filtrate identifies novel O-glycosylated proteins 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.