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MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses.

Jay Devine1,2,3, Marta Vidal-García1,2,3, Wei Liu1,2,3

  • 1Alberta Children's Hospital Research Institute, University of Calgary, 28 Oki Dr NW, Calgary, AB, T3B 6A8, Canada.

Scientific Data
|May 25, 2022
PubMed
Summary

Researchers developed MusMorph, a standardized mouse morphology database, to enable large-scale analysis of complex traits. This resource facilitates comparative studies of craniofacial and brain development across genotypes and stages.

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Area of Science:

  • Developmental biology
  • Genetics
  • Bioinformatics

Background:

  • Complex morphological traits arise from gene interactions during development.
  • Mouse models are crucial for studying these genetic and developmental effects.
  • Existing mouse morphology data is often siloed, hindering large-scale analysis.

Purpose of the Study:

  • To create a standardized database of mouse morphology data for meta-analyses.
  • To facilitate research on craniofacial and brain development in mice.
  • To overcome limitations of laboratory-specific data collection protocols.

Main Methods:

  • Developed MusMorph, a database of standardized mouse morphology data.
  • Implemented an atlas-based phenotyping pipeline using image registration, deep learning, and morphometrics.
  • Collected data across multiple developmental stages (E10.5-adulthood) and genotypes.

Main Results:

  • Created MusMorph database with standardized morphology data for 10,056 mouse specimens.
  • Provided aligned micro-computed tomography images, anatomical landmarks, and segmentations.
  • Workflow is open-source, promoting transparency and reproducible research.

Conclusions:

  • MusMorph enables standardized, large-scale meta-analyses of mouse morphology.
  • The database supports research into the genetic and developmental basis of complex traits.
  • Open-source tools and data enhance reproducibility in morphological studies.