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Development of a kit for characterization of cellular energetics in single cells in cell and tissue cultures based on the measurement of the absolute magnitude of the mitochondrial membrane potential

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R41DA043369-01
Agency Tracking Number: R41DA043369
Amount: $225,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: R41
Solicitation Number: PA15-270
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-01
Award End Date (Contract End Date): 2018-08-31
Small Business Information
Novato, CA 94945-1775
United States
DUNS: 079336779
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 (415) 209-2273
Business Contact
Phone: (415) 209-2273
Research Institution

DESCRIPTION provided by applicant Altered cellular energetics contributes to human disease in general physiological aging and chronic diseases in particular including cancer neurodegeneration ischemic heart disease and type diabetes Pathological changes affecting the individual may arise only in specific cells of a tissue and potentially in a heterogeneous manner To advance basic research of such conditions a commercial kit will be designed for bioenergetics characterization of single cells or subpopulations of cells in heterogeneous micro scale samples such as primary cell and tissue cultures or freshly isolated tissues The kit follows a wet bench dry bench approach that consists of an assay paradigm applicable to typical commercial microscopy systems wide field confocal and two photon fluorescence microscopes with reagents media and protocols plus software specialized for analysis of data collected using the assay paradigm The characterization will be performed by assaying mitochondrial membrane potential M because in contrast to the commonly used cellular energetic descriptor cell respiration M can be determined on the single cell level Assaying M has been an invaluable basic research tool but until recently determination of the absolute magnitude of M in intact cells was unattainable in a generalizable manner and instead qualitative and semi quantitative assays prone to data misinterpretation due to a series of biasing factors have been used We have recently introduced a novel technology that uses a biophysical model based calibration of M in single cells to calculate the absolute magnitude M and account for effects of all known biasing factors This calibration algorithm and its software implementation in Image Analyst MKII by the applicant small business concern Image Analyst Software forms a core technology and development of kit based applications to measure specific cellular energetic parameters using this core technology are proposed here A commercial product will be developed that provides simplification and andquot decodingandquot of this technically challenging approach for a wider audience of researchers in biomedical sciences The combination of an assay kit with robust commercial software will enable dissemination of this technology In this Phase I STTR project assay protocols will be developed simplified and benchmarked by using quality control internal to the calibration algorithm and comparison to cellular oxygen consumption and proton production measurements The software implementation of the calibration algorithm the andquot Membrane Potential Calibration Wizardandquot will be hardened and its interactivity will be enhanced Phase II will aim for the development of the actual kits and optimization of the kits for a wider range of specimens including primary differentiated stem cell and organotypic cultures besides commonly used cell lines

PUBLIC HEALTH RELEVANCE A kit based application of a novel technology is proposed that will enable basic biomedical researchers to characterize cellular energetics in single cells and in
heterogeneous samples such as primary cell and tissue cultures or freshly isolated tissues The commercial availability of this kit is expected to impact the fields of cancer biology neurosciences ischemic heart disease and metabolic diseases such as type diabetes mellitus

* Information listed above is at the time of submission. *

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