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Systematic detectio...
Systematic detection of functional proteoform groups from bottom-up proteomic datasets
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- Bludau, Isabell (author)
- Max Planck Institute of Biochemistry,ETH Zürich
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- Frank, Max (author)
- University of Toronto,ETH Zürich,European Molecular Biology Laboratory Heidelberg
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- Dörig, Christian (author)
- ETH Zürich
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- Cai, Yujia (author)
- University of Toronto
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- Heusel, Moritz (author)
- Lund University,Lunds universitet,Infection Medicine Proteomics,Forskargrupper vid Lunds universitet,epIgG,Lund University Research Groups,ETH Zürich
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- Rosenberger, George (author)
- ETH Zürich,Columbia University
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- Picotti, Paola (author)
- ETH Zürich
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- Collins, Ben C. (author)
- ETH Zürich,Queen's University Belfast
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- Röst, Hannes (author)
- University of Toronto
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- Aebersold, Ruedi (author)
- University of Zurich,ETH Zürich
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(creator_code:org_t)
- 2021-06-21
- 2021
- English.
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 12:1
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Abstract
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- To a large extent functional diversity in cells is achieved by the expansion of molecular complexity beyond that of the coding genome. Various processes create multiple distinct but related proteins per coding gene – so-called proteoforms – that expand the functional capacity of a cell. Evaluating proteoforms from classical bottom-up proteomics datasets, where peptides instead of intact proteoforms are measured, has remained difficult. Here we present COPF, a tool for COrrelation-based functional ProteoForm assessment in bottom-up proteomics data. It leverages the concept of peptide correlation analysis to systematically assign peptides to co-varying proteoform groups. We show applications of COPF to protein complex co-fractionation data as well as to more typical protein abundance vs. sample data matrices, demonstrating the systematic detection of assembly- and tissue-specific proteoform groups, respectively, in either dataset. We envision that the presented approach lays the foundation for a systematic assessment of proteoforms and their functional implications directly from bottom-up proteomic datasets.
Subject headings
- NATURVETENSKAP -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
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- ref (subject category)
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- By the author/editor
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Bludau, Isabell
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Frank, Max
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Dörig, Christian
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Cai, Yujia
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Heusel, Moritz
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Rosenberger, Geo ...
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show more...
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Picotti, Paola
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Collins, Ben C.
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Röst, Hannes
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Aebersold, Ruedi
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show less...
- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Biological Scien ...
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and Biochemistry and ...
- Articles in the publication
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Nature Communica ...
- By the university
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Lund University