{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T05:09:10Z","timestamp":1788930550693,"version":"build-2803163510"},"reference-count":35,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T00:00:00Z","timestamp":1748304000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["HD104435"],"award-info":[{"award-number":["HD104435"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["OD032627"],"award-info":[{"award-number":["OD032627"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["anatomypubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Developmental Dynamics"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Asymmetry is a key feature of numerous developmental disorders and in phenotypic screens is often used as a readout for environmental or genetic perturbations. A better understanding of the genetic basis of asymmetry and its relationship to disease susceptibility will help unravel the complex genetic and environmental factors and their interactions that increase risk in a range of developmental disorders. Large\u2010scale imaging datasets offer opportunities to work with sample sizes necessary to detect and quantify differences in morphology beyond severe deformities but also pose challenges to manual phenotyping protocols.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We introduce a tool for quantifying asymmetry in 3D images and apply it to explore the role of genes contributing to abnormal asymmetry by deep phenotyping 3D fetal microCT images from knockout strains acquired as part of the Knockout Mouse Phenotyping Program. Four knockout strains:\n                      <jats:italic>Ccdc186<\/jats:italic>\n                      ,\n                      <jats:italic>Acvr2a<\/jats:italic>\n                      ,\n                      <jats:italic>Nhlh1<\/jats:italic>\n                      , and\n                      <jats:italic>Fam20c<\/jats:italic>\n                      were identified with highly significant asymmetry in craniofacial regions, making them good candidates for further analysis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In this work, we demonstrate an open\u2010source, semi\u2010automated tool to quantify the asymmetry of craniofacial structures that integrates expert anatomical knowledge. This tool can detect abnormally asymmetric phenotypes in fetal mice to explore the relationship between facial asymmetry, perturbed development, and developmental instability.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/dvdy.70028","type":"journal-article","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T08:10:15Z","timestamp":1748333415000},"page":"999-1010","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Streamlining asymmetry quantification in fetal mouse imaging: A semi\u2010automated pipeline supported by expert guidance"],"prefix":"10.1002","volume":"254","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9514-7774","authenticated-orcid":false,"given":"S. M.","family":"Rolfe","sequence":"first","affiliation":[{"name":"Center for Developmental Biology and Regenerative Medicine Seattle Children's Research Institute  Seattle Washington, DC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Mao","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University of Washington  Seattle Washington, DC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. M.","family":"Maga","sequence":"additional","affiliation":[{"name":"Center for Developmental Biology and Regenerative Medicine Seattle Children's Research Institute  Seattle Washington, DC USA"},{"name":"Department of Pediatrics University of Washington  Seattle Washington, DC 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