SBIR/STTR Research Award

An Ultrasensitive Flow Cytometry System for Multiparametric Analysis of Therapeutic Anti-Aging Extracellular Vesicles

Award identifier 3ed3055091c06b6e1ef1cc67b915290009fc62635a6753f99ebfbbfa46bbb27fAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$356,497

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
KINETIC RIVER CORP.
Proposal award date
2024-08-15
Contract end date
2025-02-14
UEI
E24FFU8H49M9
Solicitation number
PA23-230
Topic code
400

Research abstract

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 (<200 events/sec), multiplexing capabilities (only two channels), fluorescence sensitivity, and ease of use. All of this leaves EV researchers wanting for a more comprehensive solution to better enable their critical studies correlating EV properties and reparative function. Kinetic River has developed a built for purpose NP-FC. Preliminary data shows size sensitivity (via light scattering) approaching that of the existing NP-FC. We propose to further develop this by improving three aspects of performance: i) scattering and fluorescence sensitivity; ii) optomechanical design to enable five lasers and up to six fluorescence detection channels; and iii) user experience, including throughput of up to 2,000 events/sec and a simple, automated size calibration method. In collaboration with EV researcher Dr. Fatah Kashanchi, we will evaluate the performance of the resulting instrument by addressing a key question in his lab regarding the reparative function of stem cell derived EVs. If successful, this Phase I will result in an EV analyzer with an unprecedented ability to fully identify and characterize EVs, paving the way for a Phase II where sorting capabilities can be incorporated, enabling isolation of EV subfractions for further downstream functional studies.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2017–2025). Reported award amounts total $6,068,409. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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