Abstract & Details
Description
Award ID: 2032325
The broader impact /commercial potential of this Small Business Technology Transfer (STTR) Phase I project is development of a novel, safe and effective, non-invasive, vaccine for the COVID-19 pandemic. Currently there is no approved vaccine for SARS-CoV-2, and some candidates are administered intramuscularly. The proposed intranasal vaccine directly interacts with the respiratory tract and may provide improved protection and virus clearance. The proposed vaccine is non-invasive, easy to administer, and may be effective in a single dose, thus impacting future social distancing needs. This Small Business Technology Transfer (STTR) Phase I project will develop an intranasal coronavirus vaccine and determine the most promising formulation, with tasks including: 1) synthesis of novel coronavirus antigens and formulation of intranasal vaccine using liposome nanoparticles, including antigen discovery, liposome nanoparticle formulation, and in vitro characterization; 2) preclinical testing of intranasal coronavirus vaccine in an animal model, including intranasal vaccination, serum antibody analysis, virus challenge and analysis of protection efficacy. The outcome of this Phase I study is to obtain an optimized nanoparticle intranasal vaccine formulation for induction of robust T and B cell responses specific to SARS-CoV-2 S and N protein. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Kaitlin Bratlie
The broader impact /commercial potential of this Small Business Technology Transfer (STTR) Phase I project is development of a novel, safe and effective, non-invasive, vaccine for the COVID-19 pandemic. Currently there is no approved vaccine for SARS-CoV-2, and some candidates are administered intramuscularly. The proposed intranasal vaccine directly interacts with the respiratory tract and may provide improved protection and virus clearance. The proposed vaccine is non-invasive, easy to administer, and may be effective in a single dose, thus impacting future social distancing needs. This Small Business Technology Transfer (STTR) Phase I project will develop an intranasal coronavirus vaccine and determine the most promising formulation, with tasks including: 1) synthesis of novel coronavirus antigens and formulation of intranasal vaccine using liposome nanoparticles, including antigen discovery, liposome nanoparticle formulation, and in vitro characterization; 2) preclinical testing of intranasal coronavirus vaccine in an animal model, including intranasal vaccination, serum antibody analysis, virus challenge and analysis of protection efficacy. The outcome of this Phase I study is to obtain an optimized nanoparticle intranasal vaccine formulation for induction of robust T and B cell responses specific to SARS-CoV-2 S and N protein. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Kaitlin Bratlie
| Status | Closed |
|---|---|
| Effective start/end date | 10/01/20 → 03/31/22 |
Funding
- STTR Phase I: $256,000.00
Active Fiscal Year
- FY2022
Start Fiscal Year
- FY2021
TIP Programs
- STTR Phase I
Small Business
- Yes
Key Technology Areas
- Biotechnology
- (confidence score: 100%)
- Disaster Prevention and Mitigation
- (confidence score: 100%)
Technology Foci
- Synthetic Biology
- (confidence score: 93%)
- Biotechnology - Other than SynBio
- (confidence score: 100%)
- Pandemic prevention and response
- (confidence score: 100%)
Congressional District at Award
- District n. 04 of Washington
Current Congressional District
- District n. 04 of Washington
United States
- Washington
Core Based Statistical Area (CBSA)
- Kennewick-Richland, WA
County
- County: Benton, WA
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint. Learn more about Elsevier's Fingerprint Engine here: https://beta.elsevier.com/products/elsevier-fingerprint-engine