Scientific ReportsCell BiologyPeer-reviewed journal article
Lineage topology, replication kinetics and cell cycle synchronization reveal regulated growth dynamics in human bone marrow stromal cell colonies
Alessandro AllegrezzaiD, Riccardo Beschi, Domenico CaudoiD, Andrea CavagnaiD, Alessandro CorsiiD, Antonio Culla, Samantha DonsanteiD, Giuseppe GiannicolaiD, Irene GiardinaiD, Giorgio GostiiD, Tomás S. GrigeraiD, Stefania MelilloiD, Biagio PalmisanoiD, Leonardo ParisiiD, Lorena PostiglioneiD, Mara RiminucciiD, Francesco Saverio RotondiiD
Abstract
Bone marrow stromal cells (BMSC) - which include skeletal stem cells - are a promising tool in regenerative medicine. However, their heterogeneous and unpredictable in vivo behaviour remains a critical barrier preventing the development of standardized therapeutic approaches for skeletal tissue regeneration. Several studies have attempted to identify in vitro features that could correlate with the in vivo differentiation properties, yet the mechanisms ruling BMSC heterogeneity remain poorly understood. Here, using time-lapse imaging, we lineage-trace 32 single-cell-derived BMSC colonies through seven generations. We observe significant inter-colony and intra-colony heterogeneity in lineage topology (determined by the number of senescent or apoptotic cells) and in replicative kinetics (measured from proliferating cells only). Interestingly, topology and kinetics result strongly correlated, suggesting the existence of regulatory factors linking the non-dividing/apoptotic subpopulations with proliferating cells. Furthermore, BMSCs display highly synchronized cell cycles during early generations, indicating stage-specific regulatory mechanisms through which cells influence each other. By employing a non-interacting population growth model, we demonstrate that the observed synchronisation cannot be explained by an uncorrelated branching process; instead, cell-to-cell correlation of division times must exist. Our findings reveal fundamental mechanisms governing BMSC heterogeneity and growth dynamics that may inform strategies to control their regenerative potential.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- approach: microscopy & imaging analysis
- Citations
- 1
- FWCI
- 4.42
- Field percentile
- top 12%
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