Author

M. N. Wong

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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Cell Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

F. Braun· 2 shared T. B. Huber· 2 shared V. G. Puelles· 2 shared A. M. Mandel· 1 shared A.-K. Thebille· 1 shared B. Schermer· 1 shared B. Schumacher· 1 shared C. Cohen· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersCell Biology

F. Braun

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2 papers

Recent·Most cited

Loss of genome maintenance accelerates podocyte damage

F. Braun, A. M. Mandel, L. Blomberg, M. N. Wong, G. Chatzinikolaou, V. Nair, R. A. Akbar-Hase, V. G. Puelles, D. H. Meyer, P. J. McCown, F. Haas, M. Rahmatollahi, D. Fermin, G. Slaats, T. Bork, , C. E. Kurschat

This study shows that loss of DNA repair gene Ercc1 in podocytes leads to DNA damage, proteinuria, and kidney disease, linked to mTORC1 activation and aging.

bioRxiv · Sep 13, 2020 · PreprintCell Biology

Deep learning-based molecular morphometrics for kidney biopsies

M. Zimmermann, M. Klaus, M. N. Wong, A.-K. Thebille, L. Gernhold, C. Kuppe, M. Halder, J. Kranz, N. Wanner, F. Braun, S. Wulf, T. Wiech, U. Panzer, C. F. Krebs, E. Hoxha, , V. G. Puelles

The paper develops a deep learning method for analyzing kidney biopsy images to quantify podocyte loss, identifying morphometric signatures in ANCA-GN patients for risk stratification.

bioRxiv · Aug 23, 2020Pathology