Loading…
Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors
During embryogenesis tissue layers undergo morphogenetic flow rearranging and folding into specific shapes. While developmental biology has identified key genes and local cellular processes, global coordination of tissue remodeling at the organ scale remains unclear. Here, we combine light-sheet mic...
Saved in:
Published in: | eLife 2018-02, Vol.7 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c541t-ccba0a9a91378ca13fb8622000be6d7c6fb4134e1b4400e90eef14404280a2d53 |
---|---|
cites | cdi_FETCH-LOGICAL-c541t-ccba0a9a91378ca13fb8622000be6d7c6fb4134e1b4400e90eef14404280a2d53 |
container_end_page | |
container_issue | |
container_start_page | |
container_title | eLife |
container_volume | 7 |
creator | Streichan, Sebastian J Lefebvre, Matthew F Noll, Nicholas Wieschaus, Eric F Shraiman, Boris I |
description | During embryogenesis tissue layers undergo morphogenetic flow rearranging and folding into specific shapes. While developmental biology has identified key genes and local cellular processes, global coordination of tissue remodeling at the organ scale remains unclear. Here, we combine
light-sheet microscopy of the
embryo with quantitative analysis and physical modeling to relate cellular flow with the patterns of force generation during the gastrulation process. We find that the complex spatio-temporal flow pattern can be predicted from the measured meso-scale myosin density and anisotropy using a simple, effective viscous model of the tissue, achieving close to 90% accuracy with one time dependent and two constant parameters. Our analysis uncovers the importance of a) spatial modulation of myosin distribution on the scale of the embryo and b) the non-locality of its effect due to mechanical interaction of cells, demonstrating the need for the global perspective in the study of morphogenetic flow. |
doi_str_mv | 10.7554/elife.27454 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_808e6457005543f7bf13854d34731e01</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_808e6457005543f7bf13854d34731e01</doaj_id><sourcerecordid>2001066880</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-ccba0a9a91378ca13fb8622000be6d7c6fb4134e1b4400e90eef14404280a2d53</originalsourceid><addsrcrecordid>eNpdkkFrHCEUgIfS0oQ0p96L0EuhbKrjc8a9FEpo08BCLy30VFHnuevijFN1Uvbf12TTkFQPPvTz4z19TfOa0YteCPiAwTu8aHsQ8Kw5bamgKyrh5_NH8UlznvOe1tGDlGz9sjlp19BCJ8Vp8-sqRKMDGWOad3GLExZviQvxD_GZaGuXpAuGA5kTDt4WHIg5kLJDkmddfL05-FySN0vxcSLRkfEQs5-qsMSUXzUvnA4Zz-_Xs-bHl8_fL7-uNt-uri8_bVZWACsra42meq3XjPfSasadkV3b1pQNdkNvO2eAcUBmACjFNUV0rIbQSqrbQfCz5vroHaLeqzn5UaeDitqru42YtkqnWllAJanEDkRPaX0_7nrjGJcCBg49Z0hZdX08uubFjDhYnErS4Yn06cnkd2obb5SQwKGDKnh3L0jx94K5qNFniyHoCeOSVa2L0a6Tklb07X_oPi5pqk9VqTp72opb6v2RsinmnNA9JMOoum0DhZvaBuquDSr95nH-D-y_T-d_AYZ9rkw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2020270250</pqid></control><display><type>article</type><title>Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database</source><creator>Streichan, Sebastian J ; Lefebvre, Matthew F ; Noll, Nicholas ; Wieschaus, Eric F ; Shraiman, Boris I</creator><creatorcontrib>Streichan, Sebastian J ; Lefebvre, Matthew F ; Noll, Nicholas ; Wieschaus, Eric F ; Shraiman, Boris I</creatorcontrib><description>During embryogenesis tissue layers undergo morphogenetic flow rearranging and folding into specific shapes. While developmental biology has identified key genes and local cellular processes, global coordination of tissue remodeling at the organ scale remains unclear. Here, we combine
light-sheet microscopy of the
embryo with quantitative analysis and physical modeling to relate cellular flow with the patterns of force generation during the gastrulation process. We find that the complex spatio-temporal flow pattern can be predicted from the measured meso-scale myosin density and anisotropy using a simple, effective viscous model of the tissue, achieving close to 90% accuracy with one time dependent and two constant parameters. Our analysis uncovers the importance of a) spatial modulation of myosin distribution on the scale of the embryo and b) the non-locality of its effect due to mechanical interaction of cells, demonstrating the need for the global perspective in the study of morphogenetic flow.</description><identifier>ISSN: 2050-084X</identifier><identifier>EISSN: 2050-084X</identifier><identifier>DOI: 10.7554/elife.27454</identifier><identifier>PMID: 29424685</identifier><language>eng</language><publisher>England: eLife Sciences Publications Ltd</publisher><subject>biophysics ; Computational and Systems Biology ; Developmental biology ; Drosophila ; Embryogenesis ; Gastrulation ; Hypotheses ; Insects ; Mechanics ; morphogenesis ; Myosin ; Physics ; Physics of Living Systems ; Quantitative analysis ; Spatial distribution ; tissue mechanics</subject><ispartof>eLife, 2018-02, Vol.7</ispartof><rights>2018, Streichan et al.</rights><rights>2018, Streichan et al. This work is licensed under the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/3.0/ ) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018, Streichan et al 2018 Streichan et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-ccba0a9a91378ca13fb8622000be6d7c6fb4134e1b4400e90eef14404280a2d53</citedby><cites>FETCH-LOGICAL-c541t-ccba0a9a91378ca13fb8622000be6d7c6fb4134e1b4400e90eef14404280a2d53</cites><orcidid>0000-0002-0727-3349 ; 0000-0003-1698-7500 ; 0000-0003-0886-8990</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2020270250/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2020270250?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29424685$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Streichan, Sebastian J</creatorcontrib><creatorcontrib>Lefebvre, Matthew F</creatorcontrib><creatorcontrib>Noll, Nicholas</creatorcontrib><creatorcontrib>Wieschaus, Eric F</creatorcontrib><creatorcontrib>Shraiman, Boris I</creatorcontrib><title>Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors</title><title>eLife</title><addtitle>Elife</addtitle><description>During embryogenesis tissue layers undergo morphogenetic flow rearranging and folding into specific shapes. While developmental biology has identified key genes and local cellular processes, global coordination of tissue remodeling at the organ scale remains unclear. Here, we combine
light-sheet microscopy of the
embryo with quantitative analysis and physical modeling to relate cellular flow with the patterns of force generation during the gastrulation process. We find that the complex spatio-temporal flow pattern can be predicted from the measured meso-scale myosin density and anisotropy using a simple, effective viscous model of the tissue, achieving close to 90% accuracy with one time dependent and two constant parameters. Our analysis uncovers the importance of a) spatial modulation of myosin distribution on the scale of the embryo and b) the non-locality of its effect due to mechanical interaction of cells, demonstrating the need for the global perspective in the study of morphogenetic flow.</description><subject>biophysics</subject><subject>Computational and Systems Biology</subject><subject>Developmental biology</subject><subject>Drosophila</subject><subject>Embryogenesis</subject><subject>Gastrulation</subject><subject>Hypotheses</subject><subject>Insects</subject><subject>Mechanics</subject><subject>morphogenesis</subject><subject>Myosin</subject><subject>Physics</subject><subject>Physics of Living Systems</subject><subject>Quantitative analysis</subject><subject>Spatial distribution</subject><subject>tissue mechanics</subject><issn>2050-084X</issn><issn>2050-084X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkkFrHCEUgIfS0oQ0p96L0EuhbKrjc8a9FEpo08BCLy30VFHnuevijFN1Uvbf12TTkFQPPvTz4z19TfOa0YteCPiAwTu8aHsQ8Kw5bamgKyrh5_NH8UlznvOe1tGDlGz9sjlp19BCJ8Vp8-sqRKMDGWOad3GLExZviQvxD_GZaGuXpAuGA5kTDt4WHIg5kLJDkmddfL05-FySN0vxcSLRkfEQs5-qsMSUXzUvnA4Zz-_Xs-bHl8_fL7-uNt-uri8_bVZWACsra42meq3XjPfSasadkV3b1pQNdkNvO2eAcUBmACjFNUV0rIbQSqrbQfCz5vroHaLeqzn5UaeDitqru42YtkqnWllAJanEDkRPaX0_7nrjGJcCBg49Z0hZdX08uubFjDhYnErS4Yn06cnkd2obb5SQwKGDKnh3L0jx94K5qNFniyHoCeOSVa2L0a6Tklb07X_oPi5pqk9VqTp72opb6v2RsinmnNA9JMOoum0DhZvaBuquDSr95nH-D-y_T-d_AYZ9rkw</recordid><startdate>20180209</startdate><enddate>20180209</enddate><creator>Streichan, Sebastian J</creator><creator>Lefebvre, Matthew F</creator><creator>Noll, Nicholas</creator><creator>Wieschaus, Eric F</creator><creator>Shraiman, Boris I</creator><general>eLife Sciences Publications Ltd</general><general>eLife Sciences Publications, Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0727-3349</orcidid><orcidid>https://orcid.org/0000-0003-1698-7500</orcidid><orcidid>https://orcid.org/0000-0003-0886-8990</orcidid></search><sort><creationdate>20180209</creationdate><title>Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors</title><author>Streichan, Sebastian J ; Lefebvre, Matthew F ; Noll, Nicholas ; Wieschaus, Eric F ; Shraiman, Boris I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-ccba0a9a91378ca13fb8622000be6d7c6fb4134e1b4400e90eef14404280a2d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>biophysics</topic><topic>Computational and Systems Biology</topic><topic>Developmental biology</topic><topic>Drosophila</topic><topic>Embryogenesis</topic><topic>Gastrulation</topic><topic>Hypotheses</topic><topic>Insects</topic><topic>Mechanics</topic><topic>morphogenesis</topic><topic>Myosin</topic><topic>Physics</topic><topic>Physics of Living Systems</topic><topic>Quantitative analysis</topic><topic>Spatial distribution</topic><topic>tissue mechanics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Streichan, Sebastian J</creatorcontrib><creatorcontrib>Lefebvre, Matthew F</creatorcontrib><creatorcontrib>Noll, Nicholas</creatorcontrib><creatorcontrib>Wieschaus, Eric F</creatorcontrib><creatorcontrib>Shraiman, Boris I</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>eLife</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Streichan, Sebastian J</au><au>Lefebvre, Matthew F</au><au>Noll, Nicholas</au><au>Wieschaus, Eric F</au><au>Shraiman, Boris I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors</atitle><jtitle>eLife</jtitle><addtitle>Elife</addtitle><date>2018-02-09</date><risdate>2018</risdate><volume>7</volume><issn>2050-084X</issn><eissn>2050-084X</eissn><abstract>During embryogenesis tissue layers undergo morphogenetic flow rearranging and folding into specific shapes. While developmental biology has identified key genes and local cellular processes, global coordination of tissue remodeling at the organ scale remains unclear. Here, we combine
light-sheet microscopy of the
embryo with quantitative analysis and physical modeling to relate cellular flow with the patterns of force generation during the gastrulation process. We find that the complex spatio-temporal flow pattern can be predicted from the measured meso-scale myosin density and anisotropy using a simple, effective viscous model of the tissue, achieving close to 90% accuracy with one time dependent and two constant parameters. Our analysis uncovers the importance of a) spatial modulation of myosin distribution on the scale of the embryo and b) the non-locality of its effect due to mechanical interaction of cells, demonstrating the need for the global perspective in the study of morphogenetic flow.</abstract><cop>England</cop><pub>eLife Sciences Publications Ltd</pub><pmid>29424685</pmid><doi>10.7554/elife.27454</doi><orcidid>https://orcid.org/0000-0002-0727-3349</orcidid><orcidid>https://orcid.org/0000-0003-1698-7500</orcidid><orcidid>https://orcid.org/0000-0003-0886-8990</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2050-084X |
ispartof | eLife, 2018-02, Vol.7 |
issn | 2050-084X 2050-084X |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_808e6457005543f7bf13854d34731e01 |
source | Open Access: PubMed Central; Publicly Available Content Database |
subjects | biophysics Computational and Systems Biology Developmental biology Drosophila Embryogenesis Gastrulation Hypotheses Insects Mechanics morphogenesis Myosin Physics Physics of Living Systems Quantitative analysis Spatial distribution tissue mechanics |
title | Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T01%3A58%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Global%20morphogenetic%20flow%20is%20accurately%20predicted%20by%20the%20spatial%20distribution%20of%20myosin%20motors&rft.jtitle=eLife&rft.au=Streichan,%20Sebastian%20J&rft.date=2018-02-09&rft.volume=7&rft.issn=2050-084X&rft.eissn=2050-084X&rft_id=info:doi/10.7554/elife.27454&rft_dat=%3Cproquest_doaj_%3E2001066880%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c541t-ccba0a9a91378ca13fb8622000be6d7c6fb4134e1b4400e90eef14404280a2d53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2020270250&rft_id=info:pmid/29424685&rfr_iscdi=true |