Visualizing Metabolic Processes at the Single-Cell Level - Using Genetically Encoded Biosensor and Biomarker
Author(s) -
Elena Locci,
Silvia Raymond
Publication year - 2021
Publication title -
journal of chemistry and applications
Language(s) - English
Resource type - Journals
ISSN - 2380-5021
DOI - 10.36811/jca.2021.110016
Subject(s) - biosensor , biomarker , cancer cell , glycolysis , computational biology , cell , cellular metabolism , cancer , biology , biochemistry , metabolism , genetics
Understanding cellular metabolism (how cells use energy) can be key in treating a wide range of diseases, including vascular disease and cancer. Although many techniques can measure these processes in tens of thousands of cells, researchers have not been able to measure them at the single-cell level. Researchers have used a genetically encoded biosensor with artificial intelligence to measure glycolysis. (Process of converting glucose to energy, single endothelial cells, blood vessel cells).Keywords: Cancer; Cells; Tissues, Tumors; Prevention, Prognosis; Diagnosis; Imaging; Screening; Treatment; Management
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