Computational reconstruction of the signalling networks surrounding implanted biomaterials from single-cell transcriptomics.

ABSTRACT: The understanding of the foreign-body responses to implanted biomaterials would benefit from the reconstruction of intracellular and intercellular signalling networks in the microenvironment surrounding the implant. Here, by leveraging single-cell RNA-sequencing data from 42,156 cells collected from the site of implantation of either polycaprolactone or an extracellular-matrix-derived scaffold in a mouse model of volumetric muscle loss, we report a computational analysis of intercellular signalling networks reconstructed from predictions of transcription-factor activation. We found that intercellular signalling networks can be clustered into modules associated with specific cell subsets, and that biomaterial-specific responses can be characterized by interactions between signalling modules

SUBMITTER: Cherry C 

PROVIDER: S-EPMC9894531 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature