A digital twin of pancreatic islet differentiation predicts cell fate
transcription factor perturbations identifies the key candidate regulators of key developmental branch points, including previously unrecognized drivers of lineage specification. Prospective perturbation experiments validate model-predicted regulators of lineage specification, establishing causal inference of cell fate decisions. We describe a predictive digital twin that enables causal inference of cell fate decisions and provides a foundation for improving SC-islet biomanufacturing and therapeutic development.
Authors
- Noyonika Mukherjee (ORCID: https://orcid.org/0000-0001-6692-3631)
- Sarah E. Gale (ORCID: https://orcid.org/0000-0001-8762-4497)
- ENRIQUE E. SANCHEZ-CASTRO
- Diana C. Hernandez-Rincon
- Kameron Bradley
- James Lu
- Tai Le
- Marlie M. Maestas
- Jeffrey R. Millman (ORCID: https://orcid.org/0000-0003-0426-3492)
- Matthew Ishahak
Institutions
- University of Miami (US)
- Washington University in St. Louis (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-04-30
- DOI
- https://doi.org/10.64898/2026.04.27.721124
- Primary Topic
- Pancreatic function and diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Benton Foundation
- Dr. Ralph and Marian Falk Medical Research Trust
- National Institutes of Health