Author

K. Jahn

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· 4 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 3 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1

Frequent Co-Authors

J. Kuipers· 4 shared N. Beerenwinkel· 4 shared F. Wang· 2 shared K. Morita· 2 shared K. Takahashi· 2 shared A. Futreal· 1 shared A. Greinacher· 1 shared A. L. Moore· 1 shared

Activity by Year

2016-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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4 shared papersCancer Biology

J. Kuipers

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Author profile →

5 papers

Recent·Most cited

Alpha-hemolysin of Staphylococcus aureus impairs thrombus formation

K. Jahn, S. Handtke, R. Palankar, T. P. Kohler, J. Wesche, M. Wolff, J. Bayer, C. Wolz, A. Greinacher, S. Hammerschmidt

This study shows that Staphylococcus aureus alpha-hemolysin activates and then damages platelets, impairing thrombus formation and stability, and is not neutralized by polyvalent immunoglobulins.

bioRxiv · Nov 11, 2021Microbiology

A statistical test for clonal exclusivity in tumour evolution

J. Kuipers, A. L. Moore, K. Jahn, P. Schraml, F. Wang, K. Morita, A. Futreal, K. Takahashi, C. Beisel, H. Moch, N. Beerenwinkel

This paper introduces a statistical test, GeneAccord, to identify clonally exclusive gene pairs in tumours and applies it to AML data, finding 6 exclusive and 2 co-occurring pairs.

bioRxiv · May 5, 2021 · PreprintCancer Biology

Single-cell copy number calling and event history reconstruction

J. Kuipers, M. A. Tuncel, P. F. Ferreira, K. Jahn, N. Beerenwinkel

This paper develops SCICoNE, a statistical model for single-cell copy number analysis from low-depth sequencing data, showing its accuracy on simulated data and application to breast cancer samples.

bioRxiv · Apr 28, 2020Cancer Biology

Clonal Evolution of Acute Myeloid Leukemia Revealed by High-Throughput Single-Cell Genomics

K. Morita, F. Wang, K. Jahn, J. Kuipers, Y. Yan, J. Matthews, L. Little, C. Gumbs, S. Chen, J. Zhang, X. Song, E. Thompson, K. Patel, C. Bueso-Ramos, C. D. DiNardo, , K. Takahashi

This study uses single-cell DNA sequencing to analyze clonal diversity in AML, revealing mutation co-occurrence, mutual exclusivity, and evolutionary patterns linked to treatment resistance and poor prognosis.

bioRxiv · Feb 7, 2020Cancer Biology

A statistical test on single-cell data reveals widespread recurrent mutations in tumor evolution

J. Kuipers, K. Jahn, B. J. Raphael, N. Beerenwinkel

This study tests the infinite sites assumption in tumor evolution using single-cell sequencing data and finds recurrent mutations in multiple datasets.

bioRxiv · Dec 16, 2016Cancer Biology