{"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","language":[{"iso":"eng"}],"quality_controlled":"1","oa":1,"external_id":{"isi":["000453555100002"]},"date_published":"2018-12-09T00:00:00Z","file_date_updated":"2020-07-14T12:47:11Z","tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"year":"2018","publisher":"Wiley","date_updated":"2023-09-19T09:32:49Z","department":[{"_id":"EdHa"}],"article_processing_charge":"No","page":"512-521","type":"journal_article","scopus_import":"1","intvolume":" 60","author":[{"first_name":"Edouard B","last_name":"Hannezo","orcid":"0000-0001-6005-1561","full_name":"Hannezo, Edouard B","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Simons, Benjamin D.","last_name":"Simons","first_name":"Benjamin D."}],"date_created":"2018-12-30T22:59:14Z","title":"Statistical theory of branching morphogenesis","day":"09","issue":"9","citation":{"ieee":"E. B. Hannezo and B. D. Simons, “Statistical theory of branching morphogenesis,” Development Growth and Differentiation, vol. 60, no. 9. Wiley, pp. 512–521, 2018.","apa":"Hannezo, E. B., & Simons, B. D. (2018). Statistical theory of branching morphogenesis. Development Growth and Differentiation. Wiley. https://doi.org/10.1111/dgd.12570","mla":"Hannezo, Edouard B., and Benjamin D. Simons. “Statistical Theory of Branching Morphogenesis.” Development Growth and Differentiation, vol. 60, no. 9, Wiley, 2018, pp. 512–21, doi:10.1111/dgd.12570.","ista":"Hannezo EB, Simons BD. 2018. Statistical theory of branching morphogenesis. Development Growth and Differentiation. 60(9), 512–521.","short":"E.B. Hannezo, B.D. Simons, Development Growth and Differentiation 60 (2018) 512–521.","chicago":"Hannezo, Edouard B, and Benjamin D. Simons. “Statistical Theory of Branching Morphogenesis.” Development Growth and Differentiation. Wiley, 2018. https://doi.org/10.1111/dgd.12570.","ama":"Hannezo EB, Simons BD. Statistical theory of branching morphogenesis. Development Growth and Differentiation. 2018;60(9):512-521. doi:10.1111/dgd.12570"},"file":[{"date_updated":"2020-07-14T12:47:11Z","content_type":"application/pdf","file_name":"2018_DevGrowh_Hannezo.pdf","checksum":"a6d30b0785db902c734a84fecb2eadd9","creator":"dernst","file_id":"5933","date_created":"2019-02-06T10:40:46Z","file_size":1313606,"access_level":"open_access","relation":"main_file"}],"publication":"Development Growth and Differentiation","volume":60,"has_accepted_license":"1","status":"public","oa_version":"Published Version","_id":"5787","ddc":["570"],"isi":1,"doi":"10.1111/dgd.12570","publication_identifier":{"issn":["00121592"]},"month":"12","abstract":[{"lang":"eng","text":"Branching morphogenesis remains a subject of abiding interest. Although much is \r\nknown about the gene regulatory programs and signaling pathways that operate at \r\nthe cellular scale, it has remained unclear how the macroscopic features of branched \r\norgans, including their size, network topology and spatial patterning, are encoded. \r\nLately, it has been proposed that, these features can be explained quantitatively in \r\nseveral organs within a single unifying framework. Based on large-\r\nscale organ recon\r\n-\r\nstructions and cell lineage tracing, it has been argued that morphogenesis follows \r\nfrom the collective dynamics of sublineage- \r\nrestricted self- \r\nrenewing progenitor cells, \r\nlocalized at ductal tips, that act cooperatively to drive a serial process of ductal elon\r\n-\r\ngation and stochastic tip bifurcation. By correlating differentiation or cell cycle exit \r\nwith proximity to maturing ducts, this dynamic results in the specification of a com-\r\nplex network of defined density and statistical organization. These results suggest \r\nthat, for several mammalian tissues, branched epithelial structures develop as a self- \r\norganized process, reliant upon a strikingly simple, but generic, set of local rules, \r\nwithout recourse to a rigid and deterministic sequence of genetically programmed \r\nevents. Here, we review the basis of these findings and discuss their implications."}]}