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NatureDevelopmental BiologyPeer-reviewed journal article

Quantitative lineage analysis identifies a long-term progenitor niche for the hepato-pancreato-biliary organ system

David WillnowiD, Uwe BenaryiD, Anca MargineanuiD, Maria Lillina VignolaiD, Fabian KonrathiD, Igor M. Pongrac, Zahra KarimaddiniiD, Alessandra VigilanteiD, Jana WolfiD, Francesca M. SpagnoliiD

PDFDOIPreprint

Abstract

Single cell-based studies have revealed tremendous cellular heterogeneity in stem cell and progenitor compartments, suggesting continuous differentiation trajectories with intermixing of cells at various states of lineage commitment and notable degree of plasticity during organogenesis1-5. The hepato-pancreato-biliary organ system relies on a small endoderm progenitor compartment that gives rise to a variety of different adult tissues, including liver, pancreas, gallbladder, and extra-hepatic bile ducts6, 7. Experimental manipulation of various developmental signals in the mouse embryo underscored an important cellular plasticity in this embryonic territory6, 8. This is also reflected in the existence of human genetic syndromes as well as congenital or environmentally-caused human malformations featuring multiorgan phenotypes in liver, pancreas and gallbladder6, 8. Nevertheless, the precise lineage hierarchy and succession of events leading to the segregation of an endoderm progenitor compartment into hepatic, biliary, and pancreatic structures are not yet established. Here, we combine computational modelling approaches with genetic lineage tracing to assess the tissue dynamics accompanying the ontogeny of the hepato-pancreato-biliary organ system. We show that a long-term multipotent progenitor domain persists at the border between liver and pancreas, even after pancreatic fate is specified, contributing to the formation of several organ derivatives, including the liver. Moreover, using single-cell RNA sequencing we define a specialized niche that possibly supports such long-term cell fate plasticity.

Citations
41
FWCI
2.20
Field percentile
top 10%

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