Title page for ETD etd-05072008-210505

Type of Document Master's Thesis
Author Misyak, Sarah
URN etd-05072008-210505
Title Development of a SNP Assay for the Differentiation of Allelic Variations in the mdx Dystrophic Mouse Model
Degree Master of Science
Department Human Nutrition, Foods, and Exercise
Advisory Committee
Advisor Name Title
Grange, Robert W. Committee Chair
Eisenberg, Arthur Committee Member
Good, Deborah Jean Committee Member
Walker, Richard A. Committee Member
  • Mini-sequencing
  • DMD
  • mdx
  • SNaPshot
  • ARMS
Date of Defense 2008-04-21
Availability unrestricted
The purpose of this study was to develop a SNaPshot® assay to simultaneously discriminate between the dystrophic and wild type (wt) alleles in mdx mice. The mdx mouse is an animal model for Duchenne muscular dystrophy (DMD), a severe and fatal muscle wasting disease. To evaluate possible treatments and to carry out genetic studies, it is essential to distinguish between mice that carry the mutant dystrophic or wt allele(s). The current Amplification-Resistant Mutation System (ARMS) assay used to genotype mdx mice is labor intensive and sometimes fails to yield typing results, which reduce its efficiency as a screening tool. An alternative assay based on single nucleotide polymorphism (SNP) extension technology (i.e., SNaPshot®) would be advantageous because its specificity and capability to be automated would reduce the labor involved and increase the fidelity of each assay. A SNaPshot® assay has been developed that provides a robust and potentially automatable assay that discriminates between the wt and dystrophic alleles. The assay has been optimized to use: an undiluted DNA in the PCR, a 0.1 µM PCR primer concentration, a full PCR product for the SNP extension reaction, a 50ºC annealing temperature for the SNP extension in accordance with standard SNaPshot® conditions, and a 0.4 µM concentration of the SNP extension primer. The advantages of the resultant SNaPshot® assay over the ARMS assay include higher fidelity, robustness, and more consistent performance within and among laboratories, and reduced risk of human error.
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