Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hannezo, Edouard, Simons, Benjamin D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
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
_version_ 1783387731574915072
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