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Optimization of Volumetric Computed Tomography for Skeletal Analysis of Model Genetic Organisms

  1. Sergio X. Vasquez1,
  2. Mark S. Hansen2,
  3. Ali N. Bahadur1,
  4. Matthew F. Hockin3,
  5. Gordon L. Kindlmann4,
  6. Lisa Nevell5,
  7. Isabel Q. Wu1,
  8. David J. Grunwald3,
  9. David M. Weinstein4,
  10. Greg M. Jones4,
  11. Christopher R. Johnson4,
  12. John L. Vandeberg6,
  13. Mario R. Capecchi3,
  14. Charles Keller1,6,7,†,*

Article first published online: 19 FEB 2008

DOI: 10.1002/ar.20670

Issue

The Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology

The Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology

Volume 291, Issue 5, pages 475–487, May 2008

Additional Information

How to Cite

Vasquez, S. X., Hansen, M. S., Bahadur, A. N., Hockin, M. F., Kindlmann, G. L., Nevell, L., Wu, I. Q., Grunwald, D. J., Weinstein, D. M., Jones, G. M., Johnson, C. R., Vandeberg, J. L., Capecchi, M. R. and Keller, C. (2008), Optimization of Volumetric Computed Tomography for Skeletal Analysis of Model Genetic Organisms. The Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology, 291: 475–487. doi: 10.1002/ar.20670

Author Information

  1. 1

    Greehey Children's Cancer Research Institute, The University of Texas Health Science Center San Antonio, San Antonio, Texas

  2. 2

    Department of Pediatrics, University of Utah, Salt Lake City, Utah

  3. 3

    Department of Human Genetics, University of Utah, Salt Lake City, Utah

  4. 4

    Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah

  5. 5

    Center for Advanced Studies in Hominid Paleobiology, The George Washington University, Department of Anthropology, Washington, DC

  6. 6

    Southwest Foundation for Biomedical Research, San Antonio, Texas

  7. 7

    Department of Cellular & Structural Biology and Department of Pediatrics, The University of Texas Health Science Center San Antonio, San Antonio, Texas

  1. †

    Fax: 210-562-9014

*Greehey Children's Cancer Research Institute, The University of Texas Health Science Center, 8403 Floyd Curl Drive, Mail Code 7784, San Antonio, TX 78229

Publication History

  1. Issue published online: 8 APR 2008
  2. Article first published online: 19 FEB 2008
  3. Manuscript Accepted: 2 JAN 2008
  4. Manuscript Received: 21 SEP 2007

Funded by

  • NIH/NCRR Center for Integrative Biomedical Computing. Grant Number: P41-RR12553-07

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Keywords:

  • volumetric x-ray computed tomography;
  • microCT;
  • phenomics;
  • fetus;
  • phenotyping;
  • embryogenesis;
  • imaging;
  • mouse

Abstract

Forward and reverse genetics now allow researchers to understand embryonic and postnatal gene function in a broad range of species. Although some genetic mutations cause obvious morphological change, other mutations can be more subtle and, without adequate observation and quantification, might be overlooked. For the increasing number of genetic model organisms examined by the growing field of phenomics, standardized but sensitive methods for quantitative analysis need to be incorporated into routine practice to effectively acquire and analyze ever-increasing quantities of phenotypic data. In this study, we present platform-independent parameters for the use of microscopic x-ray computed tomography (microCT) for phenotyping species-specific skeletal morphology of a variety of different genetic model organisms. We show that microCT is suitable for phenotypic characterization for prenatal and postnatal specimens across multiple species. Anat Rec, 291:475–487, 2008. © 2008 Wiley-Liss, Inc.

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