Author

V. Heinzelmann-Schwarz

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Assay:long-read sequencing· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

F. Jacob· 3 shared A. Dondi· 2 shared F. Singer· 2 shared N. Beerenwinkel· 2 shared R. Coelho· 2 shared Tumor Profiler Consortium· 2 shared A. Bertolini· 1 shared A. Fedier· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersCancer Biology

F. Jacob

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3 papers

Recent·Most cited

De novo detection of somatic variants in high-quality long-read single-cell RNA sequencing data

A. Dondi, N. Borgsmüller, P. F. Ferreira, B. J. Haas, F. Jacob, V. Heinzelmann-Schwarz, Tumor Profiler Consortium, N. Beerenwinkel

LongSom detects somatic variants in LR scRNA-seq data without normal samples, revealing clonal heterogeneity in ovarian cancer.

bioRxiv · Mar 6, 2024Cancer Biology

SMAC mimetics overcome apoptotic resistance in ovarian cancer through MSLN-TNF alpha axis

R. Coelho, B. Seashore-Ludlow, S. Schutz, F. Christopher Lombardo, E. Moussaud-Lamodiere, R. Casanova, J. Ficek-Pascual, K. Brunhilde Labrosse, M. Hensle, M. Lopez-Nunez, N. Rimmer, A. Fedier, R. Lima, C. Montavon Sartorius, C. Kurzeder, , F. Jacob

This study shows SMAC mimetics overcome apoptotic resistance in ovarian cancer by targeting the MSLN-TNF alpha axis, enhancing cell death and synergizing with chemotherapy.

bioRxiv · Jan 24, 2024 · PreprintCancer Biology

Detection of isoforms and genomic alterations by high-throughput full-length single-cell RNA sequencing in ovarian cancer

A. Dondi, U. Lischetti, F. Jacob, F. Singer, N. Borgsmueller, R. Coelho, Tumor Profiler Consortium, V. Heinzelmann-Schwarz, C. Beisel, N. Beerenwinkel

This study uses long-read single-cell RNA sequencing to detect isoforms and genomic alterations in ovarian cancer, revealing novel isoforms, cell type-specific expression patterns, and gene fusions.

bioRxiv · Dec 12, 2022Cancer Biology