RNA Therapeutics Institute
First Thesis Advisor
Exosomes, Engineered Exosomes, siRNA, Lipidomics, Proteomics, Lipid Nanoparticles, Liposomes, Delivery, Neurons, Brain
Extracellular vesicles (EVs), exosomes and microvesicles, transfer endogenous RNAs between neurons over short and long distances. We have explored EVs for siRNA delivery to brain. (1) We optimized siRNA chemical modifications and siRNA conjugation to lipids for EV-mediated delivery. (2) We developed a GMP-compatible, scalable method to manufacture active EVs in bulk. (3) We characterized lipid and protein content of EVs in detail. (4) We established how protein and lipid composition relates to siRNA delivering activity of EVs, and we reverse engineered natural exosomes (small EVs) into artificial exosomes based on these data.
We established that cholesterol-conjugated siRNAs passively associate to EV membrane and can be productively delivered to target neurons. We extensively characterized this loading process and optimized exosome-to-siRNA ratios for loading. We found that chemical stabilization of 5'-phosphate with 5'-E-vinylphosphonate and chemical stabilization of all nucleotides with 2'-O-methyl and 2'-fluoro increases the accumulation of siRNA and the level of mRNA silencing in target cells. Therefore, we recommend using fully modified siRNAs for lipid-mediated loading to EVs. Later, we identified that α-tocopherol-succinate (vitamin E) conjugation to siRNA increases productive loading to exosomes compared to originally described cholesterol.
Low EV yield has been a rate-limiting factor in preclinical development of the EV technology. We developed a scalable EV manufacturing process based on three-dimensional, xenofree culture of mesenchymal stem cells and concentration of EVs from conditioned media using tangential flow filtration. This process yields exosomes more efficient at siRNA delivery than exosomes isolated via differential ultracentrifugation from two-dimensional cultures of the same cells.
In-depth characterization of EV content is required for quality control of EV preparations as well as understanding composition–activity relationship of EVs. We have generated mass-spectrometry data on more than 3000 proteins and more than 2000 lipid species detected in exosomes (small EVs) and microvesicles (large EVs) isolated from five different producer cells: two cell lines (U87 and Huh7) and three mesenchymal stem cell types (derived from bone marrow, adipose tissue and umbilical cord Wharton’s jelly). These data represent an indispensable resource for the community. Furthermore, relating composition change to activity change of EVs isolated from cells upon serum deprivation allowed us to identify essential components of siRNA-delivering exosomes. Based on these data we reverse engineered natural exosomes into artificial exosomes consisting of dioleoyl-phosphatidylcholine, cholesterol, dilysocardiolipin, Rab7, AHSG and Desmoplakin. These artificial exosomes reproduced efficient siRNA delivery of natural exosomes both in vitro and in vivo. Artificial exosomes may facilitate manufacturing, quality control and cargo loading challenge that currently impede the therapeutic EV field.
Haraszti, RA. Engineered Exosomes for Delivery of Therapeutic siRNAs to Neurons. (2018). University of Massachusetts Medical School. GSBS Dissertations and Theses. Paper 971. DOI: 10.13028/M2Z68X. https://escholarship.umassmed.edu/gsbs_diss/971
Rights and Permissions
Copyright is held by the author, with all rights reserved.
Available for download on Wednesday, November 14, 2018
Amino Acids, Peptides, and Proteins Commons, Chemical and Pharmacologic Phenomena Commons, Complex Mixtures Commons, Lipids Commons, Medical Biochemistry Commons, Medical Biotechnology Commons, Medical Cell Biology Commons, Medical Molecular Biology Commons, Medicinal and Pharmaceutical Chemistry Commons, Nanomedicine Commons, Nervous System Diseases Commons, Neurosciences Commons, Nucleic Acids, Nucleotides, and Nucleosides Commons, Other Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Pharmaceutics and Drug Design Commons, Therapeutics Commons