Altered cellular energetics contributes to human disease in general, physiological aging and chronic diseases in particular, including cancer, neurodegeneration, ischemic heart disease and type 2 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 decoding 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 Membrane Potential Calibration Wizard, 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 2 diabetes mellitus.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Small Business Technology Transfer (STTR) Grants - Phase I (R41)
Project #
1R41DA043369-01
Application #
9139702
Study Section
Special Emphasis Panel (ZRG1-IMST-J (15)B)
Program Officer
Bough, Kristopher J
Project Start
2016-09-01
Project End
2017-08-31
Budget Start
2016-09-01
Budget End
2017-08-31
Support Year
1
Fiscal Year
2016
Total Cost
$225,000
Indirect Cost
Name
Image Analyst Software
Department
Type
DUNS #
079336779
City
Novato
State
CA
Country
United States
Zip Code
94945
Gerencser, Akos A (2018) Metabolic activation-driven mitochondrial hyperpolarization predicts insulin secretion in human pancreatic beta-cells. Biochim Biophys Acta Bioenerg 1859:817-828
Gerencser, Akos A; Mookerjee, Shona A; Jastroch, Martin et al. (2017) Positive Feedback Amplifies the Response of Mitochondrial Membrane Potential to Glucose Concentration in Clonal Pancreatic Beta Cells. Biochim Biophys Acta Mol Basis Dis 1863:1054-1065