Premium
Meshes, Molecules and Mice: Methods in Multi‐user Morphometry
Author(s) -
Lozanoff Scott
Publication year - 2019
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2019.33.1_supplement.330.1
Subject(s) - computer science , landmark , morphogenesis , craniofacial , computational biology , biology , computer vision , gene , genetics
Quantitative analysis of anatomical landmark data provides insight into the functional relationship between phenotypic and genotypic variability. Morphological meshes formed by bounding anatomical landmarks can be generated and facilitate testable hypotheses concerning underlying biological mechanisms driving regional development. Early computer systems limited multi‐landmark analysis; however, recent advances enable surface mesh extrapolation from volumetric models and quantitative comparison providing further resolution of cellular activities regulating morphogenesis. Although current technology enables image analysis using augmented reality devices, remote collaborative interaction remains limited. The purpose of this presentation is to review examples of quantitative phenotypic descriptions associated with the identification of gene defects resulting in craniofacial malformations in experimental mouse models and to describe new software that provides web‐based remote access and collaborative interaction of volumetric models and morphometric analysis. Utilizing two experimental mouse mutation models (Br and tuft) , landmark‐based morphometric analysis revealed defective regional development during craniofacial morphogenesis. Gene mapping analysis showed complicated defects involving the six2/six3 locus (Br) and TET1 ( tuft ). Subsequent molecular expression analysis (IHC, WMISH, qPCR, RNA seq) within morphometrically defined regions identified underlying morphogenetic defects. A web‐based 3d imaging tool (Rad3d) was developed that enabled real‐time editing and analysis of volumetric data. Given the need for investigator collaboration, we provided a platform for multi‐user real‐time editing, security, and storage for users. This web application enables multi‐user access and real‐time interaction with 3d volume data essential for morphometric analysis. Support or Funding Information R01DK064752, HRSA‐OAT, AHA‐9951133Z, XLR8 This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .