[{"language":[{"iso":"eng"}],"publication":"Development Growth and Differentiation","title":"Statistical theory of branching morphogenesis","issue":"9","article_processing_charge":"No","date_updated":"2023-09-19T09:32:49Z","oa":1,"intvolume":"        60","has_accepted_license":"1","scopus_import":"1","isi":1,"status":"public","type":"journal_article","author":[{"full_name":"Hannezo, Edouard B","first_name":"Edouard B","orcid":"0000-0001-6005-1561","last_name":"Hannezo","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Benjamin D.","full_name":"Simons, Benjamin D.","last_name":"Simons"}],"file":[{"file_id":"5933","file_name":"2018_DevGrowh_Hannezo.pdf","checksum":"a6d30b0785db902c734a84fecb2eadd9","date_updated":"2020-07-14T12:47:11Z","date_created":"2019-02-06T10:40:46Z","creator":"dernst","file_size":1313606,"content_type":"application/pdf","access_level":"open_access","relation":"main_file"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","oa_version":"Published Version","day":"09","month":"12","publication_identifier":{"issn":["00121592"]},"_id":"5787","file_date_updated":"2020-07-14T12:47:11Z","doi":"10.1111/dgd.12570","date_created":"2018-12-30T22:59:14Z","citation":{"short":"E.B. Hannezo, B.D. Simons, Development Growth and Differentiation 60 (2018) 512–521.","ama":"Hannezo EB, Simons BD. Statistical theory of branching morphogenesis. <i>Development Growth and Differentiation</i>. 2018;60(9):512-521. doi:<a href=\"https://doi.org/10.1111/dgd.12570\">10.1111/dgd.12570</a>","ieee":"E. B. Hannezo and B. D. Simons, “Statistical theory of branching morphogenesis,” <i>Development Growth and Differentiation</i>, vol. 60, no. 9. Wiley, pp. 512–521, 2018.","mla":"Hannezo, Edouard B., and Benjamin D. Simons. “Statistical Theory of Branching Morphogenesis.” <i>Development Growth and Differentiation</i>, vol. 60, no. 9, Wiley, 2018, pp. 512–21, doi:<a href=\"https://doi.org/10.1111/dgd.12570\">10.1111/dgd.12570</a>.","chicago":"Hannezo, Edouard B, and Benjamin D. Simons. “Statistical Theory of Branching Morphogenesis.” <i>Development Growth and Differentiation</i>. Wiley, 2018. <a href=\"https://doi.org/10.1111/dgd.12570\">https://doi.org/10.1111/dgd.12570</a>.","ista":"Hannezo EB, Simons BD. 2018. Statistical theory of branching morphogenesis. Development Growth and Differentiation. 60(9), 512–521.","apa":"Hannezo, E. B., &#38; Simons, B. D. (2018). Statistical theory of branching morphogenesis. <i>Development Growth and Differentiation</i>. Wiley. <a href=\"https://doi.org/10.1111/dgd.12570\">https://doi.org/10.1111/dgd.12570</a>"},"year":"2018","quality_controlled":"1","volume":60,"page":"512-521","department":[{"_id":"EdHa"}],"date_published":"2018-12-09T00:00:00Z","publisher":"Wiley","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."}],"external_id":{"isi":["000453555100002"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"ddc":["570"]}]