CellCell BiologyPeer-reviewed journal article
Cell heterogeneity and fate bistability drive tissue patterning during intestinal regeneration
Cornelia SchwayeriD, Silvia BarbieroiD, David B. BrückneriD, Koen C. OostiD, Clara BaaderiD, Nicole A. RepinaiD, Jinse Kim, Oscar E. DiaziD, Isa Uccelli, Laura CapolupoiD, Ludivine Challet Meylan, Véronique Kalck, Franziska MoosiD, Simon SuppingeriD, Qiutan YangiD, Jakob Schnabl, Umut KilikiD, Matthieu BourdoniD, J. Gray CampiD, Brigitta StockingeriD, Alessandra Ferrari, Marc BühleriD, Michael Beda StadleriD, Édouard HannezoiD, Prisca LiberaliiD
Abstract
Tissue regeneration relies on the ability of cells to undergo de novo patterning. While tissue patterning has been viewed as the transition from initially identical un-patterned cells to an arrangement of different cell types, recent evidence suggests that initial heterogeneities between cells modulate tissue-scale pattern formation. Yet, how such heterogeneities arise and, thereafter, regulate cell type emergence in a population of cells is poorly understood. Using in vivo and in vitro mouse regenerative systems, we identify a critical tissue density that is required to induce heterogeneous inactivation of the mechanosensor YAP1. Experimental and biophysical approaches demonstrate that YAP1 cell-to-cell heterogeneity pre-patterns the first cell fate decision, via both chromatin remodelling and a supracellular feedback between FOXA1 and Delta-Notch signalling. This feedback motif induces cell fate bistability endowing memory to the system and the maintenance of patterns during homeostasis. These findings reveal a generalisable framework in which transient cell-to-cell heterogeneity, regulated by tissue-scale properties, serves as a critical control parameter for the emergence of cell fate and stable patterning during regeneration.
- organism: mouse
- research focus: development & morphogenesis
- research focus: cell type annotation
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: biophysical modeling
- Citations
- 2
- FWCI
- 6.76
- Field percentile
- top 3%
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