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| Funder | NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES |
|---|---|
| Recipient Organization | Kinetic River Corporation |
| Country | United States |
| Start Date | Aug 15, 2024 |
| End Date | Feb 14, 2025 |
| Duration | 183 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | NIH (US) |
| Grant ID | 10921819 |
PROJECT SUMMARY Extracellular vesicles (EVs) are small, lipid bound vesicles that are secreted by cells. Originally thought to serve little purpose, EVs have been gaining significant interest due to their promise as therapeutics for a wide range of indications including skin repair in wound healing and photoaging, and central nervous system (CNS) repair,
including the treatment of neurogenerative diseases such as Alzheimer’s and Parkinson’s diseases. As EVs are found in a variety of physiological fluids including blood, urine, ascites and cerebral-spinal fluid, they also show great promise as minimally invasive disease biomarkers. However, due to their very small size, many ranging
from 1 μm down to as small as 30 nm, they are exceedingly difficult to study. Characterization of EVs is critical to understanding function. This characterization includes not only EV size, but also the complement of molecular cargo that they carry. While some techniques such as nanoparticle tracking
analysis (NTA) can accurately size particles, they have severe limitations in analyzing their molecular content. Other methods can determine molecular contents, but typically only as a bulk molecular analysis, preventing the cross-correlation of the expression of multiple markers in individual EV particles. Most of the current analysis
methods are low throughput, laborious, and/or require significant technical expertise. However, one technique— nanoparticle flow cytometry (NP-FC)—has the capability to provide researchers with simultaneous investigation of size and multiparameter analysis of molecular cargo on a particle-by-particle basis.
While most off the shelf flow cytometers are designed for the analysis of cells, many fail to perform adequately on EVs due to their small size. There is one built for purpose NP-FC on the market. While it has excellent size resolution, this comes at the expense of throughput (
Kinetic River Corporation
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