Author

C. von Mering

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· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Kahraman· 2 shared T. Karakulak· 2 shared A. Bratus-Neuenschwander· 1 shared D. Basu· 1 shared D. Szklarczyk· 1 shared H. A. Bolck· 1 shared H. Moch· 1 shared H. Rehrauer· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

A. Kahraman

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Heterogeneous and Novel Transcript Expression in Single Cells of Patient-Derived ccRCC Organoids

T. Karakulak, N. Zajac, H. A. Bolck, A. Bratus-Neuenschwander, Q. Zhang, W. Qi, D. Basu, T. C. Oltra, H. Rehrauer, C. von Mering, H. Moch, A. Kahraman

This study uses single-cell long-read sequencing to analyze transcriptomes of ccRCC organoids, identifying novel transcripts and highlighting cell-specific alternative splicing events.

bioRxiv · Mar 15, 2024 · PreprintCancer Biology

Reproducible Propagation of Species-Rich Soil Microbiomes Suggests Robust Underlying Deterministic Principles of Community Formation

S. Causevic, J. Tackmann, V. Sentchilo, C. von Mering, J. R. van der Meer

The paper shows that species-rich soil microbiomes develop reproducibly despite stochastic variation, suggesting deterministic principles in community formation and implications for soil restoration.

bioRxiv · Oct 29, 2021 · PreprintMicrobiology

Pathogenic impact of transcript isoform switching in 1209 cancer samples covering 27 cancer types using an isoform-specific interaction network

A. Kahraman, T. Karakulak, D. Szklarczyk, C. von Mering

The paper analyzes cancer-specific transcript isoform switches in 1209 cancer samples across 27 types, revealing their impact on protein interactions and identifying potential diagnostic biomarkers.

bioRxiv · Mar 27, 2020 · PreprintCancer Biology