Thomas Stiehl’s research focusses on stem cell dynamics in homeostasis, regeneration and cancer. He develops mechanistic mathematical and computational models to understand the development and progression of stem-cell-driven diseases. His main field of research are malignancies of the blood forming (hematopoietic) system, such as acute myeloid leukemia (AML), myelodysplastic syndromes (MDS) and myeloproliferative neoplasms (MPN). The models help to unravel the determinants of disease progression based on clinical data. Main research topics include:
- Mathematical modeling of stem cell dynamics and disease progression in blood cancers (AML, MDS, MPN). The models account for the role of clonal competition, systemic feedback-mechanisms, treatment-related selection and stem cell – niche interactions.
- Mathematical modeling of resistance development and cancer treatment.
- Model-based risk-stratification and personalized prediction of disease progression in blood cancers.
- Mathematical modeling of blood cell formation in health and disease, including reconstitution after bone marrow transplantation (recovery of blood cell counts) and white blood cell formation in sepsis.
- Mathematical modeling of stem cell aging including blood-forming stem cells, neural stem cells and mesenchymal stromal cells.
- Mathematical modeling of neurogenesis in the adult brain.
- Mathematical modeling of methylation patterns during aging and disease.
More information can be found at http://thomas-stiehl.de/Research.html
Prof. Dr. Thomas Stiehl
Thomas Stiehl studied mathematics and medicine in Heidelberg. He also received his PhD degree in mathematics from Heidelberg University. Thomas Stiehl develops mechanistic mathematical models of stem cell driven processes in health and disease. The models help to understand the patho-mechanisms underlying disease development and progression. His focus of research are cancers of the blood forming system, such as acute myeloid leukemias (AML), myeloproliferative neoplasms (MPN) and myelodysplastic syndromes (MDS). The models can be used to predict the course of the disease based on clinical data and to simulate novel treatment approaches.
Google scholar: https://scholar.google.de/citations?user=eCE2ETMAAAAJ&hl=en
Web of Science: https://publons.com/researcher/1709342/thomas-stiehl/
Research Gate: https://www.researchgate.net/profile/Thomas-Stiehl
Journal Articles and Preprints
L. Harris, P. Rigo, T. Stiehl, Z. Gaber, S. H. L. Austin, M. del Mar Masdeu, A. Edwards, N. Urban, A. Marciniak-Czochra, F. Guillemot. "Progressive changes in hippocampal stem cell properties ensure lifelong neurogenesis." Cell Stem Cell, 2021, doi: 10.1016/j.stem.2021.01.003.
T. Stiehl, A. Marciniak-Czochra. "Computational reconstruction of clonal hierarchies from bulk sequencing data of acute myeloid leukemia samples." Front Physiol. 12:596194, 2021.
LPM. Kremer*, S. Cerrizuela*, S. Dehler**, T. Stiehl**, J. Weinmann, H. Abendroth, S. Kleber, A. Laure, J. El Andari, S. Anders, A. Marciniak-Czochra, D. Grimm, A. Martin-Villalba. "High throughput screening of novel AAV capsids identifies variants for transduction of adult NSCs within the subventricular zone." Mol. Ther. Methods Clin. Dev. 23:33-50, 2021. * shared first authorship, ** shared second authorship.
RK. Pedersen, M. Andersen, T. Stiehl, JT. Ottesen. "Mathematical modelling of the hematopoietic stem cell-niche system: Clonal dominance based on stem cell fitness." J Theor Biol. 2021, doi: 10.1016/j.jtbi.2021.110620
T. Stiehl, W. Wang, C. Lutz, A. Marciniak-Czochra, "Mathematical modeling provides evidence for niche competition in human AML and serves as a tool to improve risk stratification", Cancer Res. 2020.
F. Klawe*, T. Stiehl*, P. Bastian, C. Gaillochet, JU. Lohmann, A. Marciniak-Czochra, "Mathematical modeling of plant cell fate transitions controlled by hormonal signals", PLoS Comput Biol, 16(7):e1007523, 2020. * shared first authorship. https://parcomp-git.iwr.uni-heidelberg.de/peter/dune-dr
T. Stiehl. "Using mathematical models to improve risk-scoring in acute myeloid leukemia." Chaos 30(12):123150, 2020.
Y. Han, J. Franzen, T. Stiehl, M. Gobs, CC. Kuo, M. Nikolic, J. Hapala, BE. Koop, K. Strathmann, S. Ritz‐Timme, W. Wagner. "New Targeted Approaches for Epigenetic Age Predictions" BMC Biol , 18(1):71, 2020.
F. Knauer, T. Stiehl, A. Marciniak-Czochra. Oscillations in a white blood cell production model with multiple differentiation stages, J. Math Biol. 80(3):575-600, 2020.
R. Stace, T. Stiehl, A. Marciniak-Czochra, T. Lorenzi, "Discrete and continuum phenotype-structured models for the evolution of cancer cell populations under chemotherapy.", Math. Mod. Natural Phenomena15:14, 2020.
S. Chulian, A. Martínez-Rubio, A. Marciniak-Czochra, T. Stiehl, C. Blazquez Goni, JFR. Gutierrez, MR. Orellana, AC. Robleda, VM. Perez-Garcia, M. Rosa. "Dynamical properties of feedback signalling in B lymphopoiesis: A mathematical modelling approach", BioRxive
G. Kalamakis, D. Brune, S. Ravichandran, J. Bolz, W. Fan, F. Ziebell, T. Stiehl, F. Catala-Martinez, J. Kupke, S. Zhao, E. Llorens-Bobadilla, K. Bauer, S. Limpert, B. Berger, U. Christen, P. Schmezer, J.P. Mallm, B. Berninger, S. Anders, A. Del Sol, A. Marciniak-Czochra, and A. Martin-Villalba. "Quiescence Modulates Stem Cell Maintenance and Regenerative Capacity in the Aging Brain", Cell, 176(6):1407-1419.e14, 2019.
T. Lorenzi, A. Marciniak-Czochra, T. Stiehl, "A structured population model of clonal selection in acute leukemias with multiple maturation stages", J Math Biol. 79(5):1587-1621, 2019.
T. Stiehl, A. Marciniak-Czochra, “How to characterize stem cells? Contributions from mathematical modeling.", Current stem cell reports, 5 (2): 57–65, 2019. (Review)"
T. Stiehl, A. D. Ho, A. Marciniak-Czochra, "Mathematical modeling of the impact of cytokine response of acute myeloid leukemia cells on patient prognosis", Scientific Reports 8:2809, 2018.
A. Marciniak-Czochra, A. Mikelic, T. Stiehl, "Renormalization group second order approximation for singularly perturbed nonlinear ordinary differential equations", Math. Methods in Applied Sciences 41: 5691-5710, 2018.
T. Stiehl, A. Marciniak-Czochra, "Stem cell self-renewal in regeneration and cancer: Insights from mathematical modeling", Current Opinion in Systems Biology 5: 112-120, 2017. (Review)
C. Gaillochet, T. Stiehl, C. Wenzl, JJ. Ripoll, LJ. Bailey-Steinitz, L. Li, A. Pfeiffer, A. Miotk, J. Hakenjos, J. Forner, MF. Yanofsky, A. Marciniak-Czochra, JU Lohmann, "Control of plant cell fate transitions by transcriptional and hormonal signals", eLife 6:e30135, 2017.
W. Wang, T. Stiehl, S. Raffel, V. T. Hoang, I. Hoffmann, L. Poisa-Beiro, B. R. Saeed, R. Blume, L. Manta, V. Eckstein, T. Bochtler, P. Wuchter, M. Essers, A. Jauch, A. Trumpp, A. Marciniak- Czochra, A. D. Ho, C. Lutz, "Reduced hematopoietic stem cell frequency predicts outcome in acute myeloid leukemia", Haematologica 102: 1567-1577, 2017.
T. Stiehl, C. Lutz, A. Marciniak-Czochra, "Emergence of heterogeneity in acute leukemias", Biology Direct 11: 51, 2016.
T. Stiehl, N. Baran, A. D. Ho, A. Marciniak-Czochra, "Cell division patterns in acute myeloid leukemia stem-like cells determine clinical course: a model to predict patient survival", Cancer Research 75: 940-949, 2015.
T. Walenda*, T. Stiehl*, H. Braun, J. Fröbel, A. D. Ho, T. Schroeder, T. Goecke, U. Germing, A. Marciniak-Czochra, W. Wagner, "Feedback Signals in Myelodysplastic Syndromes: Increased Self-Renewal of the Malignant Clone Suppresses Normal Hematopoiesis", PLoS Comp. Biol. 10: e1003599, 2014. * shared first authorship
T. Stiehl, N. Baran, A. D. Ho, A. Marciniak-Czochra, "Clonal selection and therapy resistance in acute leukemias: Mathematical modelling explains different proliferation patterns at diagnosis and relapse", J. Royal Society Interface 11: 20140079, 2014.
T. Stiehl, A. D. Ho, A. Marciniak-Czochra, "The impact of CD34+ cell dose on engraftment after Stem Cell Transplantations: personalized estimates based on mathematical modeling", Bone Marrow Transplantation 49: 30-37, 2014.
T. Stiehl, A. D. Ho, A. Marciniak-Czochra, "Assessing hematopoietic (stem-) cell behavior during regenerative pressure", Adv Exp Med Biol 844: 347-67, 2014.
F. Clement, P. Michel, D. Monniaux, T. Stiehl, "Coupled Somatic Cell Kinetics and Germ Cell Growth: Multiscale Model-Based Insight on Ovarian Follicular Development", SIAM Multiscale Model. Simul. 11: 719-746, 2013.
T. Stiehl, A. Marciniak-Czochra, "Mathematical modelling of leukemogenesis and cancer stem cell dynamics", Math. Mod. Natural Phenomena 7: 166-202, 2012.
A. Schellenberg, T. Stiehl, P. Horn, S. Joussen, N. Pallua, A. D. Ho, W. Wagner, "Population dynamics of mesenchymal stromal cells during culture expansion", Cytotherapy 14: 401-411, 2012.
T. Stiehl, A. Marciniak-Czochra, "Characterization of stem cells using mathematical models of multistage cell lineages", Math. Comput. Model 53: 1505-1517, 2011.
D. Cholewa*, T. Stiehl*, G. Bokermann, S. Joussen, C. Koch, T. Walenda, N. Pallua, A. Marciniak-Czochra, C. V. Suschek, W. Wagner, "Expansion of Adipose Mesenchymal Stromal Cells is Affected by Human Platelet Lysate and Plating Density", Cell Transplantation 20: 1409-22, 2011. * shared first authorship
A. Marciniak-Czochra, T. Stiehl, W. Wagner, "Modeling of replicative senescence in hematopoietic development", Aging 1: 723-732, 2009.
A. Marciniak-Czochra, T. Stiehl, A. D. Ho, W. Jäger, W. Wagner, "Modeling asymmetric cell division in hematopietic stem cells regulation of self-renewal is essential for efficient repopulation", Stem Cells Dev. 18: 377-385, 2009.
T. Stiehl, A. Marciniak-Czochra. "Intelligente Algorithmen und Gleichungen? – Eine Annäherung an die Intelligenz mathematischer Konzepte", in R.M. Holm-Hadulla, J. Funke, M. Wink (Hrsg.). Heidelberger Jahrbücher online, Band 6, Heidelberg University Publishing, 2021, pp. 279-304.
J. Ottesen, T. Stiehl, M. Andersen. "Systems biology of blood cancer and immune surveillance", in O. Wolkenhauer (Ed), Systems Medicine: Integrative, Qualitative and Computational Approaches, Volume 3, Elsevier, 2021, pp. 261-268.
A. Marciniak-Czochra, T. Stiehl. "Mathematical models of hematopoietic reconstitution after stem cell transplantation", in Model Based Parameter Estimation: Theory and Applications H. G. Bock, T. Carraro, W. Jäger, S. Körkel, R. Rannacher, J. P. Schlöder (Eds.), Contributions in Mathematical and Computational Sciences Volume 3, Springer, 2013.