431-CellRank: Directed Single-Cell Fate Mapping

Paper Talk · Jan 25, 2026 · 17m

Researchers introduced CellRank, a computational framework designed to map cellular development and regeneration trajectories using single-cell data. The methodology utilizes Markov chains and Schur decomposition to identify initial and terminal states while calculating the probability of a cell reaching a specific fate. In the pancreas, the tool discovered several novel regulator genes involved in delta cell maturation. When applied to lung injury models, it predicted an unexpected dedifferentiation path where goblet cells revert to basal stem cells. This biological prediction was confirmed…