Author

Christian Dörig

ETH Zurich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Approach:statistical model· 3 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

Paola PicottiiD· 3 shared Agnès H. MicheliD· 1 shared Andreas BeyeriD· 1 shared Ben C. CollinsiD· 1 shared Benoı̂t KornmanniD· 1 shared Carmen A. WeberiD· 1 shared George RosenbergeriD· 1 shared Hannes Luc RöstiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersCell Biology

Paola PicottiORCID

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Author profile →

3 papers

Recent·Most cited

The environmental stress response controls the biophysical properties of the cytoplasm and is critical for survival in quiescence

Lorena Kronig, Carmen A. Weber, Pablo Aurelio Gómez-García, Jonas S. Fischer, Christian Dörig, Agnès H. Michel, Paolo Ronchi, Sarah Khawaja, Paola Picotti, Benoı̂t Kornmann, Karsten Weis

This study shows that respiration-induced gene expression and stress response pathways are critical for maintaining cytoplasmic properties and survival in yeast quiescence.

bioRxiv · Sep 30, 2025 · PreprintCell Biology

Enhancing the biological insight from limited proteolysis-coupled mass spectrometry

Luise Nagel, Jan Großbach, Valentina Cappelletti, Christian Dörig, Paola Picotti, Andreas Beyer

The paper introduces a framework to deconvolve LiP-MS signals and infer protein structural changes using data from three species.

bioRxiv · Jun 12, 2024 · PreprintBioinformatics

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

Isabell Bludau, Max Frank, Christian Dörig, Yujia Cai, Moritz Heusel, George Rosenberger, Paola Picotti, Ben C. Collins, Hannes Luc Röst, Ruedi H. Aebersold

This paper introduces a data-driven method to detect functional proteoform groups from bottom-up proteomic datasets, identifying state-specific proteoform groups linked to molecular mechanisms.

Nature Communications · Jun 21, 2021Peer-reviewedSystems Biology