Author

Torsten Mueller

German Cancer Research Center

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

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Systems Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Research Focus:benchmarking· 2 Approach:experimental assay· 2 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Yansheng LiuiD· 2 shared Ann‐Christine König· 1 shared Audrey van Drogen· 1 shared Axel KargeriD· 1 shared Barbora ŠalovskáiD· 1 shared Chongde WuiD· 1 shared Christelle BoreliD· 1 shared Christoph DehioiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersSystems Biology

Yansheng LiuORCID

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3 papers

Recent·Most cited

High-throughput proteome profiling with low variation in a multi-center study using dia-PASEF

Stephanie Kaspar‐Schoenefeld, Jonathan R. Krieger, Claudia Martelli, Ann‐Christine König, Stefanie M. Hauck, Sebastian Johansson, Axel Karger, Uli Ohmayer, Matteo Pecoraro, Stefan Tenzer, Ute Distler, Sophie Braga-Lagache, Phillip Strohmidel, Lisa Abel, Raphael Schuster, , Daniel Hornburg

The paper benchmarks dia-PASEF with timsTOF HT for high-throughput proteome analysis in a multi-center study, showing consistent protein and peptide identification across laboratories.

bioRxiv · May 29, 2024 · PreprintSystems Biology

Global impact of phosphorylation on protein endurance

Chongde Wu, Qian Ba, Wenxue Li, Barbora Šalovská, Pingfu Hou, Torsten Mueller, George Rosenberger, Erli Gao, Yi Di, Yansheng Liu

The paper introduces DeltaSILAC, a proteomic method to quantify how phosphorylation affects protein endurance in cancer cells, revealing its global impact on protein turnover and identifying sequence features associated with endurance changes.

bioRxiv · Mar 12, 2020 · PreprintSystems Biology

Genomic, Proteomic and Phenotypic Heterogeneity in HeLa Cells across Laboratories: Implications for Reproducibility of Research Results

Yansheng Liu, Mi Yang, Torsten Mueller, Saskia K. Kreibich, Evan G. Williams, Audrey van Drogen, Christelle Borel, Pierre‐Luc Germain, Max Frank, Isabell Bludau, Martin Mehnert, Michael Seifert, Mario Emmenlauer, Isabel Sorg, Fedor Bezrukov, , Ruedi H. Aebersold

This study quantifies genomic, proteomic, and phenotypic variability in HeLa cells across laboratories and passages, revealing implications for research reproducibility.

bioRxiv · Apr 30, 2018 · PreprintSystems Biology