Author

Sébastien Pyr dit Ruys

de Duve InstituteORCID 0000-0002-5449-1541Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Didier VertommeniD· 2 shared Álvaro D. Fernández-FernándeziD· 1 shared Amna MhamdiiD· 1 shared Avilien DardiD· 1 shared Barbara De SmetiD· 1 shared Benoît Kabamba· 1 shared Bradley WardiD· 1 shared Carmen CastelliD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersPlant Biology

Didier VertommenORCID

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2 papers

Recent·Most cited

The nuclear sulfenome of Arabidopsis: spotlight on histone acetyltransferase GCN5 regulation through functional thiols

Barbara De Smet, Xi Yang, Zuzana Plšková, Carmen Castell, Álvaro D. Fernández-Fernández, Avilien Dard, Masood Jan, Amna Mhamdi, Jingjing Huang, Didier Vertommen, Kai Xun Chan, Sébastien Pyr dit Ruys, Joris Messens, Pavel Kerchev, Frank Van Breusegem

This study identifies 225 redox-active nuclear proteins in Arabidopsis, including GCN5, modified by sulfenylation under oxidative stress, revealing their functional impact on protein interactions.

Journal of Experimental Botany · Dec 27, 2024Peer-reviewedPlant Biology

Deep plasma proteomics with data-independent acquisition: A fastlane towards biomarkers identification.

Bradley Ward, Sébastien Pyr dit Ruys, Jean‐Luc Balligand, Leïla Belkhir, Patrice D. Cani, Jean‐François Collet, Julien De Greef, Joseph P. Dewulf, Laurent Gatto, Vincent Haufroid, Sébastien Jodogne, Benoît Kabamba, Maxime Lingurski, Jean Cyr Yombi, Didier Vertommen, Laure Elens

This study introduces a method combining plasma prefractionation and DIA to improve proteome coverage and depth, enabling robust biomarker identification in a COVID-19 cohort.

bioRxiv · Feb 23, 2024 · PreprintSystems Biology