Awardee OrganizationUNIVERSITY OF CALIFORNIA AT DAVIS
Description
Abstract Text
PROJECT SUMMARY
Bottom-up, high-throughput prototyping of extracellular vesicle mimetics using cell-free synthetic biology
Cells secrete extracellular vesicles (EVs) that function as primary messengers of intercellular communication
and are studied as promising drug-delivery vehicles and therapeutics. However, the clinical application of native
EVs has been hindered by their low production yield, impurity, and inherent heterogeneity. Native EVs contain
many biologically active components, such as RNAs and proteins, spread out over numerous subpopulations.
This biological complexity is both the strength and the Achilles’ heel of native EVs. While various features of this
complexity enable the beneficial therapeutic effects of EVs, it is not clear which plays a dominant role. However,
the complex set of proteins and RNAs results in heterogeneous EVs that are challenging to study and use as a
standardized treatment. Therefore, separating out and defining the critical biomolecular features from the overall
heterogeneous set will allow us to perform quality control of EVs and to reproducibly produce or study EVs. A
major bottleneck in finding the critical molecular parts of EVs is the lack of high-throughput methods. To
overcome this difficulty, our team will create a synthetic biology-based, cell-free high-throughput discovery
platform. The platform will be able to synthesize EV mimetics using a cell-free synthesis approach (Aim 1),
coupled with high-throughput examination of EV mimetic potency in vitro (Aim 2). Select EV mimetics will also
be investigated using an in vivo model system of neuroprotection and immune modulation (Aim 3). Throughout
the study, we will use native mesenchymal stem/stromal cell EVs and neurological diseases as our model system
to evaluate the platform. Our work will enable the high-throughput study of EVs for any disease and biological
questions of interest. In addition, we will unveil new insights into EVs that address key debated topics in the EV
field.
Public Health Relevance Statement
PUBLIC HEALTH RELEVANCE
Extracellular vesicles can be used to treat various diseases, but their inherent heterogeneity and low yield have
prevented them from easily translating to the clinic. Here we will synthesize scalable nanoparticles from the
bottom up that mimic the effects of natural vesicles. The proposed research will create an effective platform for
designing and testing extracellular vesicles with high efficacy.
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
047120084
UEI
TX2DAGQPENZ5
Project Start Date
01-March-2023
Project End Date
27-February-2027
Budget Start Date
01-March-2024
Budget End Date
28-February-2025
Project Funding Information for 2024
Total Funding
$561,799
Direct Costs
$368,480
Indirect Costs
$193,319
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Biomedical Imaging and Bioengineering
$561,799
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R01EB034279-02
Publications
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5R01EB034279-02
Clinical Studies
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