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Dense Non-Natural Sequence Peptide Microarrays for Epitope Mapping and Diagnostics

Abstract The healthcare system in this country is currently unacceptable. New technologies may contribute to reducing cost and improving outcomes. Early diagnosis and treatment represents the least risky option for addressing this issue. Such a technology needs to be inexpensive, highly sensitive, highly specific, and amenable to adoption in a clinic. This thesis explores an immunodiagnostic technology based on highly scalable, non-natural sequence peptide microarrays designed to profile the humoral immune response and address the healthcare problem. The primary aim of this thesis is to explore the ability of these arrays to map continuous (linear) epitopes. I discovered that using a technique termed subsequence analysis where epitopes could be deci... (more)
Created Date 2014
Contributor Richer, Joshua A. (Author) / Johnston, Stephen A (Advisor) / Woodbury, Neal (Committee member) / Stafford, Phillip (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Arizona State University (Publisher)
Subject Bioinformatics / Biology / Engineering / Diagnostics / Disease / ELISA / Epitope Mapping / Machine Learning / Peptide Array
Type Doctoral Dissertation
Extent 222 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Biological Design 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis