| Literature DB >> 35220718 |
Deanna L Plubell1, Lukas Käll2, Bobbie-Jo Webb-Robertson3, Lisa M Bramer3, Ashley Ives4, Neil L Kelleher4, Lloyd M Smith5, Thomas J Montine6, Christine C Wu1, Michael J MacCoss1.
Abstract
Bottom-up proteomics provides peptide measurements and has been invaluable for moving proteomics into large-scale analyses. Commonly, a single quantitative value is reported for each protein-coding gene by aggregating peptide quantities into protein groups following protein inference or parsimony. However, given the complexity of both RNA splicing and post-translational protein modification, it is overly simplistic to assume that all peptides that map to a singular protein-coding gene will demonstrate the same quantitative response. By assuming that all peptides from a protein-coding sequence are representative of the same protein, we may miss the discovery of important biological differences. To capture the contributions of existing proteoforms, we need to reconsider the practice of aggregating protein values to a single quantity per protein-coding gene.Entities:
Keywords: post-translational modifications; protein grouping; proteoforms; quantitative analysis; quantitative proteomics
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Year: 2022 PMID: 35220718 PMCID: PMC8976764 DOI: 10.1021/acs.jproteome.1c00894
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466