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Development of High Throughput One Dimensional Proteomics for the Analysis of Meat and Muscle

Zapata, Isain
http://rave.ohiolink.edu/etdc/view?acc_num=osu1324411963

Abstract Details

2011, Doctor of Philosophy, Ohio State University, Animal Sciences.
In this dissertation, some of the limitations and issues related to current popular proteomic approaches will be discussed and a case will be made for the benefits of using one dimensional electrophoresis based proteomics for agricultural study setups. One dimensional electrophoresis based proteomics have an important advantage over conventional two dimensional proteomic technologies because they are statistically robust and cost effective. The incorporation of greater numbers of samples and replicates can help alleviate the inherent variability of agricultural models that can adversely bias and influence the results. The goal of this dissertation is to develop proteomic applications which can be applied to agricultural experimental designs. Specifically, 3 one-dimensional electrophoresis (1DE) based proteomic applications for meat science, food science, and muscle biology interests are proposed. The rationale for this dissertation resides in the popularity of proteomic research over the past decade, where its application has extended over to multiple fields. The proteomic techniques used more often are two-dimensional electrophoresis (2DE) based. Proteomic studies that employ 2DE can deliver high resolution but suffer from replication issues which make them unsuitable for large population inference. The implementation of high throughput proteomics based on the high repeatability of 1DE can provide the robustness required for agricultural experimental designs. Each of the three studies presented explores a different aspect in which an experiment of agricultural interest is coupled to a 1DE based proteomic method. The first study explores meat tenderness prediction after meat aging from the raw meat sampled just prior to fabrication. This was achieved by obtaining myofibrillar fraction proteomic patterns that were analyzed through a linear regression model to identify the electrophoretically separated bands that are associated with a tenderness estimator (Warner-Bratzler Shear force). The second study attempted a semi-quantitative abundance estimation of individual proteins identified through mass-spectrometry in cooked meat. The third study explored proteomic profiles through a multivariate approach. By the use of principal component analysis, the proteomic profiles of turkey breasts were segregated by genotype, nutritional status and developmental stage. The studies presented increase our knowledge about meat tenderization mechanisms; explore possible implications for the authentication of meat cut identification in cooked meat, which has never been done before; and, provide a proteomic tool that would allow animal scientists to design and evaluate the proteomic variability in their experimental designs.
Wick Macdonald, PhD (Advisor)
Green-Church Kari, PhD (Committee Member)
Reiser Peter, PhD (Committee Member)
Notz William, PhD (Committee Member)
Yamaguchi Mamoru, PhD (Committee Member)
151 p.
Agriculture; Animal Sciences; Animals; Applied Mathematics; Statistics
proteomics; agricultural; electrophoresis;

Recommended Citations

Citations

  • Zapata, I. (2011). Development of High Throughput One Dimensional Proteomics for the Analysis of Meat and Muscle [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324411963

    APA Style (7th edition)

  • Zapata, Isain. Development of High Throughput One Dimensional Proteomics for the Analysis of Meat and Muscle. 2011. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1324411963.

    MLA Style (8th edition)

  • Zapata, Isain. "Development of High Throughput One Dimensional Proteomics for the Analysis of Meat and Muscle." Doctoral dissertation, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324411963

    Chicago Manual of Style (17th edition)

osu1324411963
789
© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.