SBIR/STTR Research Award
Sample Pretreatment for Human Fluids
Award amount
$465,696Program and phase
SBIR · Phase IAward year
2014Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- Sonata Biosciences Inc
- Proposal award date
- 2014-09-08
- Contract end date
- 2017-06-30
- UEI
- Not reported
- Solicitation number
- PA11-215
- Topic code
- 400
Research abstract
DESCRIPTION provided by applicant In this proposal we seek to develop a new method and instrument to reduce the complexity of protein mixtures derived from human fluids with an eye to discovery of very low abundance protein biomarkers The proposed method accomplishes two tasks it reduces the dynamic range of the protein mixture by three or more orders of magnitude and it concentrates proteins by a factor of or more so that low abundance can be detected and concentration differences noted The method does not use antibodies combinatorial peptide libraries carrier ampholytes or solid liquid adsorption equilibria such as HPLC The samples produced are compatible with D gel electrophoresis and D liquid chromatography tandem mass spectrometry approaches By using different physical methods to separate the protein mixtures the goal is to uncover new biomarkers that have eluded existing state of the art methods After development the proposed method and instrument will be demonstrated using human plasma where a sample from a lung cancer patient is compared with a reference that does not have cancer Additional low abundance proteins that are potential biomarkers will be uncovered when compared with traditional immunodepletion methods PUBLIC HEALTH RELEVANCE Proteomics is a powerful approach that can be used to assess the state of a cell tissue or organism This proposal seeks to develop a method and instrument to simplify complex protein mixtures derived from human fluids that delves deeper into the proteome than existing state of the art methods The goal is to uncover very dilute proteins that indicate disease It is intended as a research tool and not one for the clinic and the results would be used to create diagnostic tests using traditional methods It would affect the
fields of discovery of diagnostic markers to identify and development of pharmaceuticals that are used to treat disease
Technology keywords
Not reported
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