Abstract & Details
Description
Award ID: 2141135
The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to measure viral concentrations in clinical or research settings. Select vaccines and gene therapies are delivered via viral vectors, but the precise dosing is poorly known, leading to quality control concerns. Current measurement techniques are indirect, imprecise, and nonstandard; and they require time and specialized equipment. Accurate measurement of viral particles is critical for precise benchmarking of diagnostics and appropriate dosing of therapeutics. This project develops a new technology to measure viral concentrations and infectivity. The proposed project addresses viral quantification techniques as they suffer from several limitations. Typical infectivity assays are highly dependent on the specific cell line used for viral infection, leading to high variability between labs. Furthermore, natural viruses are not engineered to contain a fluorescent transgene for easy identification, and some particles will not contain the viral genome - leading to competition between those containing the gene payload and empty vectors. In general, the density, infectivity, and replication efficiency of viral particles in a given sample is poorly known. This project advances a technology with three functioins: quantifying the total number of particles, measuring genome-containing units, and assessing infectivity of a given sample of the virus. The new method combines nano-pore technology using biophysical properties to identify viral particles with single-molecule RNA fluorescence in situ hybridization to discriminate down to single molecules of viral RNA in infected cells. 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: Jesus Soriano Molla
The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to measure viral concentrations in clinical or research settings. Select vaccines and gene therapies are delivered via viral vectors, but the precise dosing is poorly known, leading to quality control concerns. Current measurement techniques are indirect, imprecise, and nonstandard; and they require time and specialized equipment. Accurate measurement of viral particles is critical for precise benchmarking of diagnostics and appropriate dosing of therapeutics. This project develops a new technology to measure viral concentrations and infectivity. The proposed project addresses viral quantification techniques as they suffer from several limitations. Typical infectivity assays are highly dependent on the specific cell line used for viral infection, leading to high variability between labs. Furthermore, natural viruses are not engineered to contain a fluorescent transgene for easy identification, and some particles will not contain the viral genome - leading to competition between those containing the gene payload and empty vectors. In general, the density, infectivity, and replication efficiency of viral particles in a given sample is poorly known. This project advances a technology with three functioins: quantifying the total number of particles, measuring genome-containing units, and assessing infectivity of a given sample of the virus. The new method combines nano-pore technology using biophysical properties to identify viral particles with single-molecule RNA fluorescence in situ hybridization to discriminate down to single molecules of viral RNA in infected cells. 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: Jesus Soriano Molla
| Status | Closed |
|---|---|
| Effective start/end date | 02/01/22 → 01/31/24 |
Funding
- Other Programs (Technology): $249,829.00
Active Fiscal Year
- FY2024
- FY2023
- FY2022
Start Fiscal Year
- FY2022
TIP Programs
- Other Programs (Technology)
Key Technology Areas
- Biotechnology
- (confidence score: 100%)
- Disaster Prevention and Mitigation
- (confidence score: 100%)
Technology Foci
- Synthetic Biology
- (confidence score: 99%)
- Biotechnology - Other than SynBio
- (confidence score: 100%)
- Pandemic prevention and response
- (confidence score: 100%)
Congressional District at Award
- District n. 07 of Massachusetts
Current Congressional District
- District n. 07 of Massachusetts
United States
- Massachusetts
Core Based Statistical Area (CBSA)
- Boston-Cambridge-Newton, MA-NH
County
- County: Suffolk, MA
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