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

Bibliographic Details
Title: Exploring heterogeneous cell population dynamics in different microenvironments by novel analytical strategy based on images
Authors: Yihong Huang, Zidong Zhou, Tianqi Liu, Shengnan Tang, Xuegang Xin
Source: npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-10 (2024)
Publisher Information: Nature Portfolio, 2024.
Publication Year: 2024
Collection: LCC:Biology (General)
Subject Terms: Biology (General), QH301-705.5
More Details: 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 shape and actin cytoskeleton reorganization. We found LX-2 showed more complex membrane dynamics and contractile systems with an M-shaped actin compactness trend in 3D culture, while they displayed rapid spreading in early 2D culture. This image-based integration and annotation strategy enhances our understanding of HSCs heterogeneity and dynamics in complex extracellular microenvironments.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2056-7189
Relation: https://doaj.org/toc/2056-7189
DOI: 10.1038/s41540-024-00459-w
Access URL: https://doaj.org/article/b84e3851073e4b5ebd16549e6b9f4f26
Accession Number: edsdoj.b84e3851073e4b5ebd16549e6b9f4f26
Database: Directory of Open Access Journals
More Details
ISSN:20567189
DOI:10.1038/s41540-024-00459-w
Published in:npj Systems Biology and Applications
Language:English