Aviv Regev explains how computational models can map cell fates by tracking branching, division, and migration. She describes building lineage maps that trace a cell's origins using genetic information, with applications in regenerative medicine where identifying regenerative cell populations could transform treatment.
Chapters
Could we fill in those blanks by some assumptions on how a continuous process might look like? We need to infer branching and lateral movement, cell divisions and cell death, and migration events, all of which would require more sophisticated models. We might have to understand multiple paths that the same cell is taking at any given moment in time. We want to understand cell fate maps. We want to take a look at the cell right now and say, What might be its potential? What other cells could it become if sufficient time passes? If we had the ability to also look at genetic information, which is not outside of reach, we could even build cell lineage maps that look at cells today and tell us where they came from. And again, this has opportunities for real impact on disease areas that are very dynamic. For example, in regenerative medicine, it could allow us to identify cells and tissues that have regenerative