A lineage tree-based hidden Markov model quantifies cellular heterogeneity and plasticity.

ABSTRACT: Individual cells can assume a variety of molecular and phenotypic states and recent studies indicate that cells can rapidly adapt in response to therapeutic stress. Such phenotypic plasticity may confer resistance, but also presents opportunities to identify molecular programs that could be targeted for therapeutic benefit. Approaches to quantify tumor-drug responses typically focus on snapshot, population-level measurements. While informative, these methods lack lineage and temporal information, which are particularly critical for understanding dynamic processes such as cell state switching. As new technologies have become available to measure lineage relationships, modeling approaches will be needed to identify the forms of cell-to-cell heterogeneity present in these data. Here we apply

SUBMITTER: Mohammadi F 

PROVIDER: S-EPMC9671968 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature