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Statistical theory of branching morphogenesis
Branching morphogenesis remains a subject of abiding interest. Although much is known about the gene regulatory programs and signaling pathways that operate at the cellular scale, it has remained unclear how the macroscopic features of branched organs, including their size, network topology and spat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334508/ https://www.ncbi.nlm.nih.gov/pubmed/30357803 http://dx.doi.org/10.1111/dgd.12570 |
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author | Hannezo, Edouard Simons, Benjamin D. |
author_facet | Hannezo, Edouard Simons, Benjamin D. |
author_sort | Hannezo, Edouard |
collection | PubMed |
description | Branching morphogenesis remains a subject of abiding interest. Although much is known about the gene regulatory programs and signaling pathways that operate at the cellular scale, it has remained unclear how the macroscopic features of branched organs, including their size, network topology and spatial patterning, are encoded. Lately, it has been proposed that, these features can be explained quantitatively in several organs within a single unifying framework. Based on large‐scale organ reconstructions and cell lineage tracing, it has been argued that morphogenesis follows from the collective dynamics of sublineage‐restricted self‐renewing progenitor cells, localized at ductal tips, that act cooperatively to drive a serial process of ductal elongation and stochastic tip bifurcation. By correlating differentiation or cell cycle exit with proximity to maturing ducts, this dynamic results in the specification of a complex network of defined density and statistical organization. These results suggest that, for several mammalian tissues, branched epithelial structures develop as a self‐organized process, reliant upon a strikingly simple, but generic, set of local rules, without recourse to a rigid and deterministic sequence of genetically programmed events. Here, we review the basis of these findings and discuss their implications. |
format | Online Article Text |
id | pubmed-6334508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63345082019-01-23 Statistical theory of branching morphogenesis Hannezo, Edouard Simons, Benjamin D. Dev Growth Differ Review Articles Branching morphogenesis remains a subject of abiding interest. Although much is known about the gene regulatory programs and signaling pathways that operate at the cellular scale, it has remained unclear how the macroscopic features of branched organs, including their size, network topology and spatial patterning, are encoded. Lately, it has been proposed that, these features can be explained quantitatively in several organs within a single unifying framework. Based on large‐scale organ reconstructions and cell lineage tracing, it has been argued that morphogenesis follows from the collective dynamics of sublineage‐restricted self‐renewing progenitor cells, localized at ductal tips, that act cooperatively to drive a serial process of ductal elongation and stochastic tip bifurcation. By correlating differentiation or cell cycle exit with proximity to maturing ducts, this dynamic results in the specification of a complex network of defined density and statistical organization. These results suggest that, for several mammalian tissues, branched epithelial structures develop as a self‐organized process, reliant upon a strikingly simple, but generic, set of local rules, without recourse to a rigid and deterministic sequence of genetically programmed events. Here, we review the basis of these findings and discuss their implications. John Wiley and Sons Inc. 2018-10-24 2018-12 /pmc/articles/PMC6334508/ /pubmed/30357803 http://dx.doi.org/10.1111/dgd.12570 Text en © 2018 The Authors Development, Growth & Differentiation published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Developmental Biologists This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Articles Hannezo, Edouard Simons, Benjamin D. Statistical theory of branching morphogenesis |
title | Statistical theory of branching morphogenesis |
title_full | Statistical theory of branching morphogenesis |
title_fullStr | Statistical theory of branching morphogenesis |
title_full_unstemmed | Statistical theory of branching morphogenesis |
title_short | Statistical theory of branching morphogenesis |
title_sort | statistical theory of branching morphogenesis |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334508/ https://www.ncbi.nlm.nih.gov/pubmed/30357803 http://dx.doi.org/10.1111/dgd.12570 |
work_keys_str_mv | AT hannezoedouard statisticaltheoryofbranchingmorphogenesis AT simonsbenjamind statisticaltheoryofbranchingmorphogenesis |