Nanothermometry Measure of Muscle Efficiency
Autor: | Eric R. Kuhn, Alyson Sujkowski, Akshata R. Naik, Suvra S. Laha, Bhanu P. Jena, Robert Wessells, Maysen Alvarez |
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Rok vydání: | 2017 |
Předmět: |
Male
Materials science Disease detection Surface Properties Bioengineering Nanotechnology 02 engineering and technology Thermometry 010402 general chemistry 01 natural sciences Fluorescence Adenosine Triphosphate Myosin Quantum Dots medicine Cadmium Compounds Animals General Materials Science Particle Size Muscle Skeletal Mechanical Engineering Hydrolysis Skeletal Muscle Myosins Temperature Heat losses Skeletal muscle General Chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics Cadmium telluride photovoltaics 0104 chemical sciences medicine.anatomical_structure Drosophila melanogaster Quantum dot Biophysics Cattle Rabbits Tellurium 0210 nano-technology Cardiac Myosins |
Zdroj: | Nano letters. 17(2) |
ISSN: | 1530-6992 |
Popis: | Despite recent advances in thermometry, determination of temperature at the nanometer scale in single molecules to live cells remains a challenge that holds great promise in disease detection among others. In the present study, we use a new approach to nanometer scale thermometry with a spatial and thermal resolution of 80 nm and 1 mK respectively, by directly associating 2 nm cadmium telluride quantum dots (CdTe QDs) to the subject under study. The 2 nm CdTe QDs physically adhered to bovine cardiac and rabbit skeletal muscle myosin, enabling the determination of heat released when ATP is hydrolyzed by both myosin motors. Greater heat loss reflects less work performed by the motor, hence decreased efficiency. Surprisingly, we found rabbit skeletal myosin to be more efficient than bovine cardiac. We have further extended this approach to demonstrate the gain in efficiency of Drosophila melanogaster skeletal muscle overexpressing the PGC-1α homologue spargel, a known mediator of improved exercise performance in humans. Our results establish a novel approach to determine muscle efficiency with promise for early diagnosis and treatment of various metabolic disorders including cancer. |
Databáze: | OpenAIRE |
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