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2029 Surface display of chimeric proteins for exosome imaging and capturing in mammalians

Published online by Cambridge University Press:  21 November 2018

Mai A. Do
Affiliation:
Santa Clara University, Santa Clara, CA, USA
Daniel H. Levy
Affiliation:
Santa Clara University, Santa Clara, CA, USA
Stacie Lim
Affiliation:
Santa Clara University, Santa Clara, CA, USA
Natalie Duong
Affiliation:
Santa Clara University, Santa Clara, CA, USA
Kevin Curley
Affiliation:
Santa Clara University, Santa Clara, CA, USA
Grace Ling
Affiliation:
Santa Clara University, Santa Clara, CA, USA
Biao Lu
Affiliation:
Santa Clara University, Santa Clara, CA, USA
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Abstract

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OBJECTIVES/SPECIFIC AIMS: Exosomes are living nanoscale vesicles that can shuttle large amounts of bioactive cargo for intercellular communication. The potential of these nanovesicles to serve as both biomarkers for disease diagnosis and vehicles for delivery of therapeutics has only begun to be explored. To realize these potentials, molecular tools for effective exosome tracking and capturing must be invented in order to advance basic research and clinical translation. METHODS/STUDY POPULATION: We utilize a surface display strategy that enables exosome modification in living mammalian systems. By reconfiguring the surface protein CD63 or viral envelope glycoprotein VSV-G, we generate 3 topologically distinctive protein chimeras for exosome imaging and capture in mammalian systems. RESULTS/ANTICIPATED RESULTS: We have shown that these genetically encoded protein chimeras have the ability to correctly target and integrate into exosomes in cultured human cells. Furthermore, we have demonstrated that the secreted exosomes could be successfully captured by an affinity peptide intentionally displayed on the outer surface of exosomes. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study highlights the potential of these fusion proteins for exosome tracking and provides novel genetic tools for exosome research and translation, one of which is loading protein therapeutics for targeted delivery.

Type
Basic/Translational Science/Team Science
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2018