Tomas Gedeon
Montana State University, MT·Mathematics & Statistics
Cells decide how to respond to stress or damage through webs of genes and proteins that switch one another on and off. These webs are called gene regulatory networks.
- Fields
Mathematics & Statistics
Biology
Computer Science
- Topics
gene regulatory networks
systems biology
mathematical biology
- Grants
- 1 known grant, through Aug 2029
What they work on
- Enumerate and theoretically characterize the attractors of all monotone Boolean models compatible with a given gene regulatory network, using the lattice structure of these models.
- Develop an inductive method that predicts the attractors of large networks from the attractors of their subnetworks, using continuation structure and machine learning to scale up.
- Apply these tools to model titanization in the fungal pathogen Cryptococcus neoformans and to count intermediate states of the epithelial-mesenchymal transition network implicated in cancer.
More about the research
Predicting how they behave could help forecast how cells react to cancer-causing changes or to drugs. But building an accurate mathematical model usually requires knowing many parameters, such as reaction strengths, that are very hard to measure.
Why it matters
Mapping every possible behavior of a gene network could help predict how cells respond to cancer-related changes and medical interventions. It may also flag rare, harmful behaviors that single models miss. Applications named in the project include the titanization of the fungal pathogen Cryptococcus neoformans and the intermediate cell states of the epithelial-mesenchymal transition in cancer. Both could inform research on fungal infection and cancer.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Benjamin Spike
University of Utah, UT·Biology
Track how CRIPTO (CR1) drives cell state changes at different stages of breast cancer metastasis, using mouse transplant models with patient-derived cancer cells, bioengineered systems and single-cell RNA sequencing.
Jing Yang
University of California-San Diego, CA·Biochemistry
Determine how the Hippo pathway, through the LATS1/2 kinases, controls transcription of ESR1, the main estrogen receptor gene, in breast cells and what ESR1 contributes to Hippo biology in breast tissue.
Ernst Reichenberger
University of Connecticut, CT·Genetics
Test whether four candidate gene variants found in Nigerian Yoruba families with inherited keloids make skin cells behave like keloid cells, using skin cells grown from gene-edited induced pluripotent stem cells.
The school
Montana State University: 15 labs on PI Pages, $258M a year on research, 85 research doctorates a year.
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