Author

Mona Schoberth

University of Freiburg

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 Cancer Biology· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Organism:human· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Anna KöttgeniD· 3 shared Pascal SchlosseriD· 3 shared Stefan HaugiD· 3 shared Oleg BorisoviD· 2 shared Alex WaterhölteriD· 1 shared Antonella Catalano· 1 shared Atlas KhaniD· 1 shared Bayram EdemiriD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersCancer Biology

Anna KöttgenORCID

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Author profile →

3 papers

Recent·Most cited

Sexually dimorphic effects of mutations in ccRCC driver genes in renal proximal tubule cells

Antonella Catalano, Constanze Kainz, Katharina Moos, Stefan Jaeger, Marvin Müller, Yannick Federkiel, Christian C. Witt, Francesca Cuomo, Alex Waterhölter, Mona Schoberth, Pascal Schlosser, Anna Köttgen, Stefan Haug, Melanie Boerries, Ian J. Frew, Mojca Adlesic

The paper investigates sex-specific effects of Vhl and Vhl/Pbrm1 mutations in renal proximal tubule cells, revealing differences in lipid droplet accumulation and clonal expansion between males and females.

bioRxiv · May 26, 2026 · PreprintCancer Biology

Transcriptome-based cell type assignment for kidney cell culture models

Mona Schoberth, Samuel Böhm, Oleg Borisov, Yong Li, Gabriele Greve, Bayram Edemir, Owen M. Woodward, Hyun Jun Jung, Frank Hutter, Lukas Westermann, Anna Köttgen, Pascal Schlosser, Michael Köttgen, Stefan Haug

The paper develops a transcriptome-based method to match bulk RNA-seq data from kidney cell lines to single-cell reference datasets, identifying accurate cell type identities and evaluating method performance.

bioRxiv · Apr 1, 2026 · PreprintBioinformatics

Insights into Renal Protein Handling Through GWAS of the Human Urine Proteome

Stefan Haug, Oleg Borisov, Nick Lehner, Mona Schoberth, Irene Menneking, Katherine H. Xu, Atlas Khan, Nora Scherer, Sara Monteiro-Martins, Burulça Uluvar, Werner Roemisch‐Margl, Matthias Arnold, Pascal Schlosser, Peggy Sekula, Florian Kronenberg, , Anna Köttgen

This study performs GWAS on the human urine proteome, identifying genetic associations with 20 proteins and linking them to disease risk and gene expression.

medRxiv · Dec 9, 2025 · PreprintGenetic & Genomic Medicine