Genomics

Dataset Information

0

Integrated spatial multi-omics reveals fibroblast fate during tissue repair


ABSTRACT: In the skin, tissue injury results in fibrosis in the form of scars composed of dense extracellular matrix deposited by fibroblasts. The therapeutic goal of regenerative wound healing has remained elusive in part because principles of fibroblast programming and adaptive response to injury remain incompletely understood. Here, we present a multimodal -omics platform for the comprehensive study of cell populations in complex tissue, which has allowed us to characterize the cells involved in wound healing across both time and space. We employ a stented wound model that recapitulates human tissue repair kinetics and multiple Rainbow transgenic lines to precisely track fibroblast fate during the physiologic response to injury. Through integrated analysis of single cell chromatin landscapes and gene expression states, coupled with spatial transcriptomic profiling, we are able to impute fibroblast epigenomes with temporospatial resolution. This has allowed us to define the mechanisms controlling cell fate during migration, proliferation, and differentiation following tissue injury and thereby reexamine the canonical phases of wound healing. We show that wounding triggers a polyclonal proliferation of tissue-resident, mechano-responsive fibroblasts, the subpopulations of which inhabit spatially-distinct regions within the wound and harbor distinct activities. These findings have broad implications for the study of tissue repair in complex organ systems.

ORGANISM(S): Mus musculus

PROVIDER: GSE178758 | GEO | 2021/06/24

REPOSITORIES: GEO

Similar Datasets

2022-12-27 | GSE167406 | GEO
2017-02-28 | GSE93638 | GEO
2017-02-28 | GSE76795 | GEO
2022-12-08 | GSE180653 | GEO
2022-12-08 | GSE207021 | GEO
2022-12-08 | GSE168746 | GEO
2022-12-08 | GSE176360 | GEO
2022-12-08 | GSE142854 | GEO
2012-01-31 | E-GEOD-35255 | biostudies-arrayexpress
2023-11-21 | GSE247964 | GEO