Author

T. Stiehl

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 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1

Frequent Co-Authors

A. Marciniak-Czochra· 3 shared A. Castor· 1 shared A. D. Ho· 1 shared A. Ho· 1 shared A. Lampert· 1 shared A. Maxion· 1 shared A. Schuh· 1 shared A. Trumpp· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersCancer Biology

A. Marciniak-Czochra

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Author profile →

4 papers

Recent·Most cited

Sodium channels expressed in nociceptors contribute distinctly to action potential subthreshold phase, upstroke and shoulder

P. A. Köster, E. Leipold, J. Tigerholm, A. Maxion, B. Namer, T. Stiehl, A. Lampert

The paper functionally characterizes sodium channels in nociceptors using patch-clamp and computational models, revealing Nav1.9's role in action potential upstroke and shoulder.

bioRxiv · Sep 3, 2023Physiology

Complex genotype-phenotype relationships shape the response to treatment of Down Syndrome Childhood Acute Lymphoblastic Leukaemia

C. Lutz, V. A. Turati, R. Clifford, P. S. Woll, T. Stiehl, A. Castor, S. A. Clark, H. Ferry, V. Buckle, A. Trumpp, A. Ho, A. Marciniak-Czochra, J. Herrero, A. Schuh, S. E. W. Jacobsen, T. Enver

This study investigates genotype-phenotype relationships in Down Syndrome ALL, showing that genetic and phenotypic heterogeneity influences treatment response and relapse through clonal competition.

bioRxiv · Feb 6, 2022Cancer Biology

Computational reconstruction of clonal hierarchies from bulk sequencing data of acute myeloid leukemia samples

T. Stiehl, A. Marciniak-Czochra

This study develops a computational algorithm to reconstruct clonal hierarchies from bulk sequencing data of acute myeloid leukemia samples, showing that few hierarchies fit the data, suggesting bulk data can inform clonal evolution.

bioRxiv · Jan 23, 2021Cancer Biology

Cytokine response of acute myeloid leukemia cells has impact on patient prognosis: Insights from mathematical modeling

T. Stiehl, A. D. Ho, A. Marciniak-Czochra

This study uses mathematical modeling to show that cytokine-independent leukemic cell proliferation is linked to poor patient outcomes in AML.

bioRxiv · Nov 26, 2017Cancer Biology