Author

C. Kuppe

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· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 5 Organism:human· 5 Research Focus:differential expression· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2

Frequent Co-Authors

R. Kramann· 5 shared J. Saez-Rodriguez· 3 shared J. Kranz· 2 shared A. Antoranz· 1 shared A. Bredemeyer· 1 shared A. Dugourd· 1 shared A. Erez· 1 shared A. Fu· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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5 shared papersImmunology

R. Kramann

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Targeting the Immune-Fibrosis Axis in Myocardial Infarction and Heart Failure

J. M. Amrute, X. Luo, V. Penna, A. Bredemeyer, T. Yamawaki, G. S. Heo, S. Shi, A. L. Koenig, S. Yang, F. F. Kadyrov, C. Jones, C. Kuppe, B. Kopecky, S. Hayat, P. Ma, , K. Lavine

The paper identifies a fibroblast trajectory associated with cardiac fibrosis and shows that macrophage-fibroblast crosstalk via IL-1β signaling drives fibrosis.

bioRxiv · Oct 17, 2022 · PreprintImmunology

Nitrogen partitioning between branched-chain amino acids and urea cycle enzymes sustains renal cancer progression

M. Sciacovelli, A. Dugourd, L. Valcarcel Jimenez, M. Yang, E. Nikitopoulou, A. S. Costa, L. Tronci, V. Caraffini, P. Rodrigues, C. Schmidt, D. G. Ryan, T. Young, V. Zecchini, S. H. Rossi, C. Massie, , C. Frezza

This study identifies metabolic reprogramming in renal cancer cells, showing how branched-chain amino acid catabolism and urea cycle enzymes support tumor progression and metastasis.

bioRxiv · Sep 17, 2021 · PreprintCancer Biology

Dissecting CD8+ T cell pathology of severe SARS-CoV-2 infection by single-cell epitope mapping

F. Schreibing, M. Hannani, F. Ticconi, E. Fewings, J. S. Nagai, M. Begemann, C. Kuppe, I. Kurth, J. Kranz, D. Frank, T. M. Anslinger, P. Ziegler, T. Kraus, J. Enczmann, V. Balz, , R. Kramann

This study identifies an immunogenic CD8+ T cell epitope associated with severe SARS-CoV-2 infection and characterizes its pathological features.

bioRxiv · Mar 3, 2021 · PreprintImmunology

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

A functional landscape of chronic kidney disease entities from public transcriptomic data

F. Tajti, C. Kuppe, A. Antoranz, M. M. Ibrahim, H. Kim, F. Ceccarelli, C. Holland, H. Olauson, J. Floege, L. G. Alexopoulos, R. Kramann, J. Saez-Rodriguez

This paper integrates transcriptomic data from nine CKD entities to delineate their molecular differences and identify potential therapeutic targets.

bioRxiv · Feb 21, 2019Pathology