SBIR/STTR Research Award

DIAGNOSTIC FLOW CYTOMETRY

Award identifier 840628ad5c7ca0d5945ac9489a201980c9f4fdbc69d66d39d3c7a491874c65b8Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$100,000

Program and phase

STTR · Phase I

Award year

2002

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
FLOW-AMP SYSTEMS, LTD
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant)Hepatitis C virus infection is a chronic disease that inflicts 170 million people worldwide. Infection usually results in a persistent hepatitis that can lead to cirrhosis and/or hepatocellular carcinoma. Moreover, chronic infection is associated with a number of adverse complications including lymphoma and autoimmune phenomena.Besides hepatocytes, the virus has been shown to infect peripheral blood cells. Investigators have suggested that infection of lymphocytes may be related to the development of lymphoma and autoimmune phenomena, to the progression of the chronic infection, and to maternal-fetal transmission of the virus. Although there are excellent diagnostic tests for hepatitis C virus, the currently available tests do not predict progression, maternal-fetal transmission, or immunologically related complications.We have developed an ultra-sensitive technology for the detection of molecules expressed in single cells and analyzed by flow cytometry. This technology, enzymatic amplification staining, has achieved 10-100 fold enhancements in fluorescence intensity which has been used to detect the presence of molecules that could not be detected by standard immunofluorescent methods.We propose in this grant application to assess the presence of HCV proteins and/or nucleic acids in cells infected in vitro with enzymatic amplification staining. The successful development of this capability will prompt an analysis of its utility in assessing patient samples.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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