Author

Sven Hagemann

Martin Luther University Halle-Wittenberg

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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Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alice WedleriD· 2 shared Claudia Misiak· 2 shared Danny MisiakiD· 2 shared Khursheed Ul Islam MiriD· 2 shared Stefan HüttelmaieriD· 2 shared Alexander Rausch· 1 shared Andrea SinziD· 1 shared Bruno Griesler· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Alice WedlerORCID

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Author profile →

2 papers

Recent·Most cited

Targeting IGF2BP1 Creates a Mitotic Vulnerability in Colorectal Carcinoma

Bruno Griesler, Sven Hagemann, Robert E. Winkler, Alice Wedler, Claudia Misiak, Danny Misiak, Alexander Rausch, Jana Lützkendorf, Thomas Mueller, Khursheed Ul Islam Mir, Christian H. Ihling, Florian Wolfgang Otto, Andrea Sinz, Jan‐Henning Klusmann, Michael Heuser, , Stefan Hüttelmaier

This study identifies IGF2BP1 as a regulator of mitotic integrity in CRC, showing that its inhibition creates a therapeutic vulnerability that synergizes with paclitaxel.

bioRxiv · Oct 26, 2026 · PreprintCancer Biology

RNA-seq derived sequence variations are excellent features for cell line identification

Lisa Müller, Simon Müller, Khursheed Ul Islam Mir, Jana Lange, Sven Hagemann, Alice Wedler, Frank Hause, Claudia Misiak, Danny Misiak, Tony Gutschner, Stefan Hüttelmaier, Markus Glaß

This study shows RNA-seq-derived sequence variations can reliably identify cell lines and detect cross-contamination using machine learning.

Computational and Structural Biotechnology Journal · Jan 1, 2025Peer-reviewedGenomics