Systematic detection of functional proteoform groups from bottom-up proteomic datasets

Many proteins exist in various proteoforms but detecting these variants by bottom-up proteomics remains difficult. Here, the authors present a computational approach based on peptide correlation analysis to identify and characterize proteoforms from bottom-up proteomics data.

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Autores principales: Isabell Bludau, Max Frank, Christian Dörig, Yujia Cai, Moritz Heusel, George Rosenberger, Paola Picotti, Ben C. Collins, Hannes Röst, Ruedi Aebersold
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/4bc622ef871944e7b4a94176e06f1144
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spelling oai:doaj.org-article:4bc622ef871944e7b4a94176e06f11442021-12-02T16:05:50ZSystematic detection of functional proteoform groups from bottom-up proteomic datasets10.1038/s41467-021-24030-x2041-1723https://doaj.org/article/4bc622ef871944e7b4a94176e06f11442021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24030-xhttps://doaj.org/toc/2041-1723Many proteins exist in various proteoforms but detecting these variants by bottom-up proteomics remains difficult. Here, the authors present a computational approach based on peptide correlation analysis to identify and characterize proteoforms from bottom-up proteomics data.Isabell BludauMax FrankChristian DörigYujia CaiMoritz HeuselGeorge RosenbergerPaola PicottiBen C. CollinsHannes RöstRuedi AebersoldNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Isabell Bludau
Max Frank
Christian Dörig
Yujia Cai
Moritz Heusel
George Rosenberger
Paola Picotti
Ben C. Collins
Hannes Röst
Ruedi Aebersold
Systematic detection of functional proteoform groups from bottom-up proteomic datasets
description Many proteins exist in various proteoforms but detecting these variants by bottom-up proteomics remains difficult. Here, the authors present a computational approach based on peptide correlation analysis to identify and characterize proteoforms from bottom-up proteomics data.
format article
author Isabell Bludau
Max Frank
Christian Dörig
Yujia Cai
Moritz Heusel
George Rosenberger
Paola Picotti
Ben C. Collins
Hannes Röst
Ruedi Aebersold
author_facet Isabell Bludau
Max Frank
Christian Dörig
Yujia Cai
Moritz Heusel
George Rosenberger
Paola Picotti
Ben C. Collins
Hannes Röst
Ruedi Aebersold
author_sort Isabell Bludau
title Systematic detection of functional proteoform groups from bottom-up proteomic datasets
title_short Systematic detection of functional proteoform groups from bottom-up proteomic datasets
title_full Systematic detection of functional proteoform groups from bottom-up proteomic datasets
title_fullStr Systematic detection of functional proteoform groups from bottom-up proteomic datasets
title_full_unstemmed Systematic detection of functional proteoform groups from bottom-up proteomic datasets
title_sort systematic detection of functional proteoform groups from bottom-up proteomic datasets
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/4bc622ef871944e7b4a94176e06f1144
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