bioRxivCell BiologyPreprint
Multi-omics profiling links epigenetic and lncRNA changes to early human endochondral ossification priming
David Hidalgo GiliD, Alejandro Garcia GarciaiD, Françine Wolf, Sara González Antón, Sacha Bosch, Ani GrigoryaniD, Andrea BarberoiD, Paul Emile BourgineiD
Abstract
Differentiation programs remain incompletely understood across stem cell types, including for human bone marrow mesenchymal stromal/stem (BM-MSCs) cells, a heterogenous population orchestrating bone formation and establishing a functional hematopoietic niche in the bone marrow. BM-MSCs form and repair bone through the evolutionarily conserved process of endochondral ossification (EO), initiated by deposition of a transient cartilage template subsequently remodeled into bone and bone marrow tissues. Despite their considerable potential for skeletal regeneration, the early molecular and cellular events underlying BM-MSCs commitment to EO remain elusive. To overcome donor dependent variability in chondrogenic potential that limits mechanistic studies, we here exploit OssiGel as a potent chondro-inductive extracellular matrix offering robust recapitulation of EO by BM-MSCs. Through multi-omics profiling of OssiGel-primed BM-MSCs, we identify rapid chromatin remodeling at chondrogenic loci as concomitant for lineage commitment. The emergence of a chondro-progenitor population is detected as early as 3 days in vivo and correlates with successful EO recapitulation. Mechanistically, we identify LINC02511 as novel enhancer-associated element involved in the onset of EO. We confirm presence of LINC02511 in human skeletal atlases, and its CRISPR-mediated silencing significantly impaired EO. By integrating human tissue engineering strategies with single cell multi-omics profiling, our study provides a framework for deciphering BM-MSCs fate decisions, highlighting the role of enhancer and non-coding elements as key determinants of early lineage specification. These findings advance our understanding of BM-MSCs biology and will prompt their translational exploitation in regenerative medicine.
- organism: human
- assay: scRNA-seq
- assay: DNA methylation
- research focus: cell type annotation
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
- Citations
- 0
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