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Single cell RNA-sequencing reveals cellular heterogeneity and trajectories of lineage specification

ABSTRACT: Single cell RNA-sequencing reveals cellular heterogeneity and trajectories of lineage specification

PROVIDER: PRJNA1150067 | ENA |

REPOSITORIES: ENA

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Project description:deBack2012 - Lineage Specification in Pancreas Development This model of two neighbouring pancreas precursor cells, describes the exocrine versus endocrine lineage specification process. To account for the tissue scale patterns, this couplet model has been extended to hundreds of coupled cells. This model is described in the article: On the role of lateral stabilization during early patterning in the pancreas de Back W., Zhou JX, Brusch L J. R. Soc. Interface 6 February 2013 vol. 10 no. 79 20120766 Abstract: The cell fate decision of multi-potent pancreatic progenitor cells between the exocrine and endocrine lineages is regulated by Notch signalling, mediated by cell–cell interactions. However, canonical models of Notch-mediated lateral inhibition cannot explain the scattered spatial distribution of endocrine cells and the cell-type ratio in the developing pancreas. Based on evidence from acinar-to-islet cell transdifferentiation in vitro, we propose that lateral stabilization, i.e. positive feedback between adjacent progenitor cells, acts in parallel with lateral inhibition to regulate pattern formation in the pancreas. A simple mathematical model of transcriptional regulation and cell–cell interaction reveals the existence of multi-stability of spatial patterns whose simultaneous occurrence causes scattering of endocrine cells in the presence of noise. The scattering pattern allows for control of the endocrine-to-exocrine cell-type ratio by modulation of lateral stabilization strength. These theoretical results suggest a previously unrecognized role for lateral stabilization in lineage specification, spatial patterning and cell-type ratio control in organ development. This model is hosted on BioModels Database and identified by: MODEL1211010000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Single cell RNA-sequencing reveals cellular heterogeneity and trajectories of lineage specification

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