Author

T. Wiech

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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Immunology· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

C. F. Krebs· 3 shared S. Bonn· 3 shared T. B. Huber· 3 shared A. Sivayoganathan· 2 shared C. Meyer-Schwesinger· 2 shared E. Hoxha· 2 shared G. Tiegs· 2 shared H.-J. Paust· 2 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersImmunology

C. F. Krebs

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Transcriptional and clonal characterization of cytotoxic CD8+ T cells in crescentic glomerulonephritis

Y. Zhao, A. Mueller, H. Cicek, H.-J. Paust, A. Sivayoganathan, A. Linke, C. Wegscheid, T. Wiech, T. B. Huber, C. Meyer-Schwesinger, S. Bonn, U. P. Panzer, G. Tiegs, C. F. Krebs, K. Neumann

This study identifies clonally expanded cytotoxic CD8+ T cells in ANCA-associated cGN and shows their pathogenic role in kidney disease progression.

bioRxiv · Aug 31, 2022Immunology

GM-CSF drives immune-mediated glomerular disease by licensing monocyte-derived cells to produce MMP12

H.-J. Paust, N. Song, D. DeFeo, N. Asada, S. Tuzlak, Y. Zhao, J.-H. Riedel, M. Hellmig, A. Sivayoganathan, A. Peters, A. Kaffke, A. Borchers, U. O. Wenzel, O. M. S. M. Steinmetz, G. Tiegs, , U. P. Panzer

The paper identifies GM-CSF-producing T cells that drive glomerulonephritis by licensing monocyte-derived cells to produce MMP12, leading to renal tissue damage.

bioRxiv · Jun 13, 2022Immunology

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