{"entity": "researcher", "timestamp": "2026-08-20T20:51:26.735Z", "family": "Menz", "given": "Gesina", "initials": "G", "orcid": "0000-0002-3589-9824", "affiliations": ["Division of Scientific Computing, Department of Information Technology, Uppsala University, 751 05, Uppsala, Sweden."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/72d37278df344ad49b097ee3a278dc0a.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/72d37278df344ad49b097ee3a278dc0a"}}, "publications": [{"entity": "publication", "iuid": "1e8e7ff7010141a3866dec9897c7b215", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/1e8e7ff7010141a3866dec9897c7b215.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/1e8e7ff7010141a3866dec9897c7b215"}}, "title": "Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach.", "authors": [{"family": "Menz", "given": "Gesina", "initials": "G", "orcid": "0000-0002-3589-9824", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/72d37278df344ad49b097ee3a278dc0a.json"}}, {"family": "Engblom", "given": "Stefan", "initials": "S", "orcid": "0000-0002-3614-1732", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/1b4e1fd82dc3460dbfc7673bba52f5a2.json"}}], "type": "journal article", "published": "2025-05-16", "journal": {"title": "Bull. Math. Biol.", "issn": "1522-9602", "volume": "87", "issue": "6", "pages": "74", "issn-l": "0092-8240"}, "abstract": "Mathematical models of living cells have been successively refined with advancements in experimental techniques. A main concern is striking a balance between modelling power and the tractability of the associated mathematical analysis. In this work we model the dynamics for the transcription factor Hairy and enhancer of split-1 (Hes1), whose expression oscillates during neural development, and which critically enables stable fate decision in the embryonic brain. We design, parametrise, and analyse a detailed spatial model using ordinary differential equations (ODEs) over a grid capturing both transient oscillatory behaviour and fate decision on a population-level. We also investigate the relationship between this ODE model and a more realistic grid-based model involving intrinsic noise using mostly directly biologically motivated parameters. While we focus specifically on Hes1 in neural development, the approach of linking deterministic and stochastic grid-based models shows promise in modelling various biological processes taking place in a cell population. In this context, our work stresses the importance of the interpretability of complex computational models into a framework which is amenable to mathematical analysis.", "doi": "10.1007/s11538-025-01447-9", "pmid": "40379916", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC12084287"}, {"db": "pii", "key": "10.1007/s11538-025-01447-9"}], "notes": [], "created": "2026-08-20T06:40:21.523Z", "modified": "2026-08-20T06:40:21.663Z"}]}