Author

Johanna Tüshaus

Technical University of MunichORCID 0000-0001-9206-8093Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Biochemistry· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 4 Research Focus:database / resource· 3 Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:mouse· 1

Frequent Co-Authors

Bernhard KüsteriD· 3 shared Claire DelbridgeiD· 2 shared Matthew TheiD· 2 shared Alexander HogrebeiD· 1 shared Amirhossein SakhtemaniD· 1 shared Andreas RosenwaldiD· 1 shared Bernhard MeyeriD· 1 shared Carolin MogleriD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBiochemistry

Bernhard KüsterORCID

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4 papers

Recent·Most cited

BiochemistryNature MethodsPeer-reviewedApr 22, 2025

Unifying the analysis of bottom-up proteomics data with CHIMERYS

Martin Frejno, Michelle T. Berger, Johanna Tüshaus…·Mathias Wilhelm

CHIMERYS deconvolves chimeric spectra in proteomic data, enabling unified analysis across DDA, DIA, and PRM experiments by accurately identifying and quantifying multiple peptides per spectrum.

46 citationstop 1%

proteomicsdeep learning

𝕏 PostBluesky

PathologyThe EMBO JournalPeer-reviewedNov 18, 2024

Towards routine proteome profiling of FFPE tissue: Insights from a 1,200 case pan-cancer study

Johanna Tüshaus, Stephan Eckert, Marius Schliemann…·Bernhard Küster

The paper profiles proteomes from 1,220 FFPE tumors across six cancers, identifies a new normalization method, and reports a comprehensive pan-cancer proteome resource.

26 citations

humanproteomics

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NeuroscienceThe EMBO JournalPeer-reviewedNov 2, 2023

A region-resolved proteomic map of the human brain enabled by high-throughput proteomics

Johanna Tüshaus, Amirhossein Sakhteman, Severin Lechner…·Bernhard Küster

The paper provides a comprehensive proteomic map of 13 human brain regions using high-throughput mass spectrometry, highlighting region-specific protein expression patterns and markers.

41 citationstop 4%

humanproteomics

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NeuroscienceThe EMBO JournalPeer-reviewedSep 21, 2020

Quantitative secretome analysis establishes the cell type-resolved mouse brain secretome

Johanna Tüshaus, Stephan A. Müller, Evans Sioma Kataka…·Stefan F. Lichtenthaler

The paper develops a method to analyze the secretome of mouse brain cells and identifies cell type-specific secreted proteins, revealing proteolytic cleavage of membrane proteins.

88 citationstop 3%

mouseproteomics

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