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A Rapid Lipid-based Approach for Normalization of Quantum Dot-detected Biomarker Expression on Extracellular Vesicles in Complex Biological Samples

Abstract Extracellular Vesicles (EVs), particularly exosomes, are of considerable interest as tumor biomarkers since tumor-derived EVs contain a broad array of information about tumor pathophysiology including its metabolic and metastatic status. However, current EV based assays cannot distinguish between EV biomarker changes by altered secretion of EVs during diseased conditions like cancer, inflammation, etc. that express a constant level of a given biomarker, stable secretion of EVs with altered biomarker expression, or a combination of these two factors. This issue was addressed by developing a nanoparticle and dye-based fluorescent immunoassay that can distinguish among these possibilities by normalizing EV biomarker level(s) to EV abundance, ... (more)
Created Date 2019
Contributor Rodrigues, Meryl (Author) / Hu, Tony (Advisor) / Nikkhah, Mehdi (Committee member) / Kiani, Samira (Committee member) / Smith, Barbara (Committee member) / Han, Haiyong (Committee member) / Arizona State University (Publisher)
Subject Biomedical engineering / EpCAM / EphA2 / exosomes / Extracellular Vesicles / normalization / quantum dots
Type Doctoral Dissertation
Extent 133 pages
Language English
Note Doctoral Dissertation Biomedical Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis