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Extracell Vesicles Circ Nucleic Acids 2020;1:20-56  I  http://dx.doi.org/10.20517/evcna.2020.10                                         Page 39

               Conclusions: We developed a simple, robust and quantitative workflow for isolating and analyzing EV
               proteins. EVs obtained by membrane-affinity spin columns were enriched in the relevant EV proteins and
               depleted for non-EV proteins, establishing a method for easy compliance with official MISEV guidelines.


               24. Nanomechanical fingerprinting of single extracellular vesicles


               Authors: Shivani Sharma
               E-mail: sharmas@cnsi.ucla.edu
               Affiliations:
               Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California
               Los Angeles, Los Angeles, USA.
               Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, USA.
               Abstracts: As potential a class of novel diagnostics and therapeutics, the physio-chemical characterization
               as well as the biomolecular composition of EVs are widely investigated. However, there is emerging
               evidence suggesting that biomechanical analysis of lipid-bilayer membrane-bound single EVs may provide
               key insights into their biological structure, biomarker functions, and potential therapeutic functions. Using
               multi-parametric AFM imaging and force spectroscopy we compared the structure-mechanical properties
               (including Young’s modulus, stiffness, deformability, and adhesion maps) of invasive and noninvasive
               breast cancer EVs at nanoscale resolution. Our findings reveal that secreted EVs reflect the biomechanical
               signatures of parent cancer cells that vary in invasive potential. Irrespective of the EV isolation method
               employed, single EVs derived from non- invasive (biomechanically stiffer) cancer cells were also
               significantly biomechanically distinct compared to EVs derived from invasive (biomechanically soft) breast
               cancer cells. In particular, we propose multi-parametric AFM structure- mechanical analysis augmented
               with machine learning capabilities to further advance label-free, orthogonal biophysical understanding of
               EVs beyond biomolecular or particle size characterization and analysis, with significant implications for
               research and clinical use of EVs.



               25. Development of non-invasive clinically applicable in vivo tracking of extracellular vesicles
               using magnetic resonance imaging


                                   1
                                                2
                                                                               2
                                                                                                 2
                                                               2
               Authors: Johnny Akers , Paola Aguiari , Hasmik Soloyan , Seda Mkhitaryan , Gevorg Karapetyan , Laura
                             1
                    2
               Perin , Mya Thu , and Sargis Sedrakyan 2
               E-mail: jakers@visicellmedical.com
               Affiliations:
               1 VisiCELL Medical Inc, San Diego, CA, USA.
               2 Children’s Hospital Los Angeles/University of Southern California, Los Angeles, CA, USA.
               Abstracts: As researchers continue to explore the therapeutic potentials of extracellular vesicles (EVs) for
               the treatment of many diseases, there is a growing unmet need for real-time in vivo monitoring of these
               therapeutic EVs after they are injected into a subject to understand their safety, targeting, and effectiveness.
               While current optical imaging solutions like bioluminescence and fluorescence are useful for EV tracking
               studies in animal models, there is limited utility in clinical applications. Here, we present a novel EV
               labeling technology that enable real time, non-invasive tracking and quantitative assessment of EVs in
               vitro and in vivo utilizing magnetic resonance imaging (MRI). Leveraging clinically applicable magnetic
               agents, mesenchymal stem cells-, neural stem cells-, and amniotic fluid stem cells (AFSCs)- derived EVs
               were labeled directly or indirectly by labeling the secreting cell first prior to vesicle collection. The magnetic
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