Unknown

Dataset Information

0

Spatial correlations constrain cellular lifespan and pattern formation in corneal epithelium homeostasis.


ABSTRACT: Homeostasis in adult tissues relies on the replication dynamics of stem cells, their progenitors and the spatial balance between them. This spatial and kinetic coordination is crucial to the successful maintenance of tissue size and its replenishment with new cells. However, our understanding of the role of cellular replicative lifespan and spatial correlation between cells in shaping tissue integrity is still lacking. We developed a mathematical model for the stochastic spatial dynamics that underlie the rejuvenation of corneal epithelium. Our model takes into account different spatial correlations between cell replication and cell removal. We derive the tradeoffs between replicative lifespan, spatial correlation length, and tissue rejuvenation dynamics. We determine the conditions that allow homeostasis and are consistent with biological timescales, pattern formation, and mutants phenotypes. Our results can be extended to any cellular system in which spatial homeostasis is maintained through cell replication.

SUBMITTER: Strinkovsky L 

PROVIDER: S-EPMC7803374 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Spatial correlations constrain cellular lifespan and pattern formation in corneal epithelium homeostasis.

Strinkovsky Lior L   Havkin Evgeny E   Shalom-Feuerstein Ruby R   Savir Yonatan Y  

eLife 20210112


Homeostasis in adult tissues relies on the replication dynamics of stem cells, their progenitors and the spatial balance between them. This spatial and kinetic coordination is crucial to the successful maintenance of tissue size and its replenishment with new cells. However, our understanding of the role of cellular replicative lifespan and spatial correlation between cells in shaping tissue integrity is still lacking. We developed a mathematical model for the stochastic spatial dynamics that un  ...[more]

Similar Datasets

| S-EPMC4610745 | biostudies-literature
| S-EPMC4715534 | biostudies-literature
| S-EPMC50041 | biostudies-other
2022-12-19 | GSE182583 | GEO
| S-EPMC2034529 | biostudies-literature
| S-EPMC8196413 | biostudies-literature
| S-EPMC7584651 | biostudies-literature
| S-EPMC7102931 | biostudies-literature
| PRJNA756967 | ENA
| S-EPMC2326892 | biostudies-literature