Date of Award
2017
Document Type
Open Access Dissertation
Department
Biological Sciences
First Advisor
Francis Spinale
Abstract
The widespread influence of miRNAs in many biological processes and characteristic changes in expression profiles make them potential biomarkers for a range of diseases. With recent discoveries highlighting the enrichment of particular circulating miRNAs in plasma under pathological conditions, there has been a push for technological advances in miRNA profiling studies as a diagnostic tool. A standardized, automated, high-throughput method for miRNA isolation from human plasma samples was developed in this study. Samples were subject to full miRNome profiling utilizing RT-qPCR. These unique findings demonstrate that developing a distinct miRNA biomarker profile for heart failure patients is feasible and holds potential diagnostic value.
Rights
© 2017, Kia N. Zellars
Recommended Citation
N. Zellars, K.(2017). Advancing Automated Methods for Microrna Profiling. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/4421