Notice of Intent to Sole Source - ChromoLogic
| Agency: | HEALTH AND HUMAN SERVICES, DEPARTMENT OF |
|---|---|
| State: | California |
| Type of Government: | Federal |
| FSC Category: |
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| NAICS Category: |
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| Posted Date: | Dec 30, 2024 |
| Due Date: | Jan 8, 2025 |
| Solicitation No: | HCCCC-2025-00493 |
| Original Source: | Please Login to View Page |
| Contact information: | Please Login to View Page |
| Bid Documents: | Please Login to View Page |
Description
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- Contract Opportunity Type: Combined Synopsis/Solicitation (Original)
- Original Published Date: Dec 30, 2024 12:36 pm EST
- Original Date Offers Due: Jan 08, 2025 09:00 am EST
- Inactive Policy: Manual
- Original Inactive Date: Jan 08, 2025
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Initiative:
- None
- Original Set Aside:
- Product Service Code: AJ12 - GENERAL SCIENCE AND TECHNOLOGY R&D SERVICES; GENERAL SCIENCE AND TECHNOLOGY; APPLIED RESEARCH
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NAICS Code:
- 541990 - All Other Professional, Scientific, and Technical Services
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Place of Performance:
CA 91016USA
Collaboration with vendor is needed to evaluate our existing test samples from rats exposed to silica-containing, engineered stone dusts. Predictive algorithms are needed for pre-sympomatic pulmonary fibrosis, and we will need to be able to partner with the vendor to test whether existing predictive models for pre-symptomatic radiation-induced pulmonary fibrosis are useful for silica-induced fibrosis by using their proprietary algorithms. Samples that will be shipped to the vendor. The vendor will need to be able to evaluate them according to a well-established workflow for miRNA analysis and bioinformatic analysis.They will evaluate plasma sample acceptability and perform miRNA extraction, sequencing, and analysis. They will then evaluate the results obtained to determine comparability to existing circulating miRNA-based fibrosis signatures using proprietary algorithms based on bioinformatic analyses using both Gene Ontology (GO) and Kyoto Encycolpdeia of Genes and Genomes (KEGG) evaluations that have been integrated into a computational, predictive model of pre-symptomatic radiation-induced fibrosis that uses the relative expression of miRNA found in extracellular vescicles of circulating plasmsa in exposed animals. They will use their proprietary predictive model of pre-symptomatic radiation-induced pulmonary fibrosis to determine how useful it is in detecting pre-symptomatic silica-induced pulmonary fibrosis by evaluating the positive predictive value among those samples tested.
- 1600 CLIFTON ROAD
- ATLANTA , GA 30333
- USA
- Kathryn Green
- ezj7@cdc.gov
- Phone Number 4046396470
- Dec 30, 2024 12:36 pm ESTCombined Synopsis/Solicitation (Original)
See Also
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