Exact, Time-Independent Estimation of Clone Size Distributions in Normal and Mutated Cells

The study developed a time-independent method for estimating clone size distributions in normal and mutated cells, which was particularly useful for understanding cell division dynamics in epithelial tissues. This approach provided exact analytical solutions without needing to track clonal age, simplifying the analysis of clonal lineage tracing and mutation processes. It modeled progenitor cell divisions using Motzkin paths and applied this to 2086 human neonatal keratinocyte clones, estimating division probabilities as [0.415, 0.278, 0.307]. The method also explored mutation dynamics, offering insights into the distribution of mutant cells and subclones. While advantageous, the approach assumed Markovian processes, suggesting a need for further exploration.