Exploring heterogeneous cell population dynamics in different microenvironments by novel analytical strategy based on images.

ABSTRACT: Understanding the dynamic states and transitions of heterogeneous cell populations is crucial for addressing fundamental biological questions. High-content imaging provides rich datasets, but it remains increasingly difficult to integrate and annotate high-dimensional and time-resolved datasets to profile heterogeneous cell population dynamics in different microenvironments. Using hepatic stellate cells (HSCs) LX-2 as model, we proposed a novel analytical strategy for image-based integration and annotation to profile dynamics of heterogeneous cell populations in 2D/3D microenvironments. High-dimensional features were extracted from extensive image datasets, and cellular states were identified based on feature profiles. Time-series clustering revealed distinct temporal patterns of cell shap

SUBMITTER: Huang Y 

PROVIDER: S-EPMC11542073 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature