A computational pipeline for spatial mechano-transcriptomics.

ABSTRACT: Advances in spatial profiling technologies are providing insights into how molecular programs are influenced by local signaling and environmental cues. However, cell fate specification and tissue patterning involve the interplay of biochemical and mechanical feedback. Here we develop a computational framework that enables the joint statistical analysis of transcriptional and mechanical signals in the context of spatial transcriptomics. To illustrate the application and utility of the approach, we use spatial transcriptomics data from the developing mouse embryo to infer the forces acting on individual cells, and use these results to identify mechanical, morphometric and gene expression signatures that are predictive of tissue compartment boundaries. In addition, we use geoadditive structur

SUBMITTER: Hallou A 

PROVIDER: S-EPMC11978512 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature