Author

J. H. Braesen

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 Immunology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

J. Schmitz· 2 shared A. Buescher· 1 shared A. Oberbeck· 1 shared B. Siebels· 1 shared C. Krisp· 1 shared C. Rossdam· 1 shared D. R. Engel· 1 shared D. Siemes· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersImmunology

J. Schmitz

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Author profile →

3 papers

Recent·Most cited

Proteomic adaptations in the kidney reveal orchestration of local and secreted antimicrobial peptides in human pyelonephritis

L. Borgards, B. Siebels, H. Voss, C. Krisp, J. Schmitz, L. Schwarz, D. Siemes, P. Spangenberg, J. H. Braesen, S. von Vietinghoff, H. Schluter, F. Wagenlehner, D. R. Engel, O. Shevchuk

This study identifies proteomic adaptations in human pyelonephritis, revealing elevated antimicrobial peptides and their potential protective role against systemic inflammation.

bioRxiv · Sep 14, 2023 · PreprintImmunology

Neolactotetraosylceramide: A novel non-invasive urinary biomarker for bladder cancer

I. B. Moreira, C. Rossdam, J. Beimdiek, M. M. Vicente, J. Schmitz, A. Oberbeck, J. H. Braesen, H. Tezval, F. F. R. Buettner

This paper identifies neolactotetraosylceramide (nLc4) as a non-invasive urinary biomarker for bladder cancer, showing higher levels in cancer tissues and urine exosomes with high specificity.

bioRxiv · Aug 8, 2023 · PreprintCancer Biology

scoMorphoFISH: A Deep-Learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry

F. Siegerist, E. Hay, J. S. Dikou, A. Buescher, J. Oh, S. Ribback, U. Zimmermann, J. H. Braesen, O. Lenoir, K. Endlich, P.-L. Tharaux, N. Endlich

scoMorphoFISH provides a deep-learning tool for spatial single-cell mRNA quantification and morphometry in kidney biopsies, enabling single-mRNA resolution analysis.

Journal of Cellular and Molecular Medicine · Jun 1, 2022Peer-reviewedPathology