Sökning: onr:"swepub:oai:lup.lub.lu.se:c497e6d9-3b8e-447a-a326-0b5af020ceea" >
PCprophet : a frame...
PCprophet : a framework for protein complex prediction and differential analysis using proteomic data
-
- Fossati, Andrea (författare)
- ETH Zürich,The J. David Gladstone Institutes
-
- Li, Chen (författare)
- Monash University,ETH Zürich
-
- Uliana, Federico (författare)
- ETH Zürich
-
visa fler...
-
- Wendt, Fabian (författare)
- ETH Zürich
-
- Frommelt, Fabian (författare)
- ETH Zürich
-
- Sykacek, Peter (författare)
- University of Natural Resources and Life Sciences, Vienna
-
- Heusel, Moritz (författare)
- Lund University,Lunds universitet,Infektionsmedicin,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Infection Medicine Proteomics,Forskargrupper vid Lunds universitet,Infection Medicine (BMC),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups,ETH Zürich
-
- Hallal, Mahmoud (författare)
- University of Bern
-
- Bludau, Isabell (författare)
- ETH Zürich,Max Planck Institute of Biochemistry
-
- Capraz, Tümay (författare)
- European Molecular Biology Laboratory Heidelberg
-
- Xue, Peng (författare)
- ETH Zürich
-
- Song, Jiangning (författare)
- Monash University
-
- Wollscheid, Bernd (författare)
- ETH Zürich,Swiss Institute for Bioinformatics (SIB)
-
- Purcell, Anthony W. (författare)
- Monash University
-
- Gstaiger, Matthias (författare)
- ETH Zürich
-
- Aebersold, Ruedi (författare)
- University of Zurich,ETH Zürich
-
visa färre...
-
ETH Zürich The J David Gladstone Institutes (creator_code:org_t)
- 2021-04-15
- 2021
- Engelska 8 s.
-
Ingår i: Nature Methods. - : Springer Science and Business Media LLC. - 1548-7091 .- 1548-7105. ; 18:5, s. 520-527
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Despite the availability of methods for analyzing protein complexes, systematic analysis of complexes under multiple conditions remains challenging. Approaches based on biochemical fractionation of intact, native complexes and correlation of protein profiles have shown promise. However, most approaches for interpreting cofractionation datasets to yield complex composition and rearrangements between samples depend considerably on protein–protein interaction inference. We introduce PCprophet, a toolkit built on size exclusion chromatography–sequential window acquisition of all theoretical mass spectrometry (SEC-SWATH-MS) data to predict protein complexes and characterize their changes across experimental conditions. We demonstrate improved performance of PCprophet over state-of-the-art approaches and introduce a Bayesian approach to analyze altered protein–protein interactions across conditions. We provide both command-line and graphical interfaces to support the application of PCprophet to any cofractionation MS dataset, independent of separation or quantitative liquid chromatography–MS workflow, for the detection and quantitative tracking of protein complexes and their physiological dynamics.
Ämnesord
- NATURVETENSKAP -- Kemi -- Analytisk kemi (hsv//swe)
- NATURAL SCIENCES -- Chemical Sciences -- Analytical Chemistry (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Fossati, Andrea
-
Li, Chen
-
Uliana, Federico
-
Wendt, Fabian
-
Frommelt, Fabian
-
Sykacek, Peter
-
visa fler...
-
Heusel, Moritz
-
Hallal, Mahmoud
-
Bludau, Isabell
-
Capraz, Tümay
-
Xue, Peng
-
Song, Jiangning
-
Wollscheid, Bern ...
-
Purcell, Anthony ...
-
Gstaiger, Matthi ...
-
Aebersold, Ruedi
-
visa färre...
- Om ämnet
-
- NATURVETENSKAP
-
NATURVETENSKAP
-
och Kemi
-
och Analytisk kemi
- Artiklar i publikationen
-
Nature Methods
- Av lärosätet
-
Lunds universitet