Author

Jonas Grossmann

SIB Swiss Institute of BioinformaticsORCID 0000-0002-6899-9020Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Microbiology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 6 Research Focus:differential expression· 4 Research Focus:cell type annotation· 3 Approach:statistical model· 3 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Research Focus:software / tool· 2

Frequent Co-Authors

Christian PanseiD· 4 shared Ralph SchlapbachiD· 4 shared Witold WolskiiD· 4 shared Natalia ZajaciD· 2 shared Paolo NanniiD· 2 shared Peter LearyiD· 2 shared András KristoniD· 1 shared Bernd RoschitzkiiD· 1 shared

Activity by Year

2018-2025 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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4 shared papersBioinformatics

Christian PanseORCID

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Author profile →

6 papers

Recent·Most cited

Quantitative proteome of bacterial periplasmic predation reveals a prey damaging protease

Ting Fung Lai, Denis Jankov, Jonas Grossmann, Bernd Roschitzki, Simona G. Huwiler

The paper quantifies the proteome of Bdellovibrio bacteriovorus during predation of E. coli, identifying a protease involved in prey damage and exit.

Communications Biology · Oct 22, 2025Peer-reviewedMicrobiology

A combination of phenotypic responses and genetic adaptations enables Staphylococcus aureus to withstand inhibitory molecules secreted by Pseudomonas aeruginosa

Lukas Schwyter, Selina Niggli, Natalia Zajac, Lucy Poveda, Witold Wolski, Christian Panse, Ralph Schlapbach, Rolf Kümmerli, Jonas Grossmann

This paper shows that Staphylococcus aureus uses both genetic and phenotypic changes to resist inhibitory molecules from Pseudomonas aeruginosa.

mSystems · Jul 31, 2025Peer-reviewedMicrobiology

Deep visual multi-omics profiling reveals mechanisms that underlie cancer cell differentiation and aggressiveness in clear cell renal cell carcinoma

Hella Anna Bolck, Ede Migh, András Kriston, Natalia Zajac, Susanne Kreutzer, Tiberiu Totu, Peter Leary, Ferenc Kovács, Dorothea Rutishauser, Sibylle Pfammatter, Jonas Grossmann, Cassandra Litchfield, Marija Buljan, Niels J. Rupp, Péter Horváth, Holger Moch

This study uses AI-based image analysis and multi-omics profiling to link morphological features with molecular changes in ccRCC, identifying unique molecular profiles in aggressive rhabdoid tumors.

bioRxiv · Jan 31, 2025 · PreprintCancer Biology

prolfquapp - A User-Friendly Command-Line Tool Simplifying Differential Expression Analysis in Quantitative Proteomics

Witold Wolski, Jonas Grossmann, Leonardo Schwarz, Peter Leary, Can Türker, Paolo Nanni, Ralph Schlapbach, Christian Panse

prolfquapp simplifies differential expression analysis in quantitative proteomics by providing a command-line tool with dynamic HTML reports and integration with existing analysis tools.

Journal of Proteome Research · Jan 24, 2025Peer-reviewedBioinformatics

prolfqua: A Comprehensive R-package for Proteomics Differential Expression Analysis

Witold Wolski, Paolo Nanni, Jonas Grossmann, Maria d’Errico, Ralph Schlapbach, Christian Panse

prolfqua provides an R package for proteomics differential expression analysis with quality control, normalization, and statistical modeling, showing sensitive and specific results.

Journal of Proteome Research · Mar 20, 2023Peer-reviewedBioinformatics

rawDiag - an R package supporting rational LC-MS method optimization for bottom-up proteomics

Christian Trachsel, Christian Panse, Tobias Kockmann, Witold Wolski, Jonas Grossmann, Ralph Schlapbach

rawDiag is an R package that provides diagnostic plots for optimizing LC-MS methods in proteomics.

Journal of Proteome Research · Jul 6, 2018Peer-reviewedBioinformatics