Mitochondrial Citric Acid(MCA) Content Assay Kit

enzyme labeling method

Reagent Code: #112600

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Storage 2-8℃

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The Mitochondrial Citric Acid (MCA) Content Assay Kit is widely used in research to measure citric acid levels in mitochondria, providing insights into cellular metabolism and energy production. It is particularly valuable in studies focused on mitochondrial function, metabolic disorders, and the effects of drugs or toxins on cellular energy pathways. Researchers use this kit to assess changes in citric acid concentration, which is a key intermediate in the tricarboxylic acid (TCA) cycle, to understand metabolic flux and mitochondrial efficiency. It is also applied in fields like cancer research, where altered metabolism is a hallmark, and in neurodegenerative disease studies to evaluate mitochondrial dysfunction. Additionally, the kit is useful in agricultural and environmental sciences to study the impact of stressors on cellular energy metabolism in plants or microorganisms. Its simplicity and accuracy make it a preferred tool for high-throughput screening in drug discovery and metabolic profiling.

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Size Availability Unit Price Quantity
inventory 100T/EA
10-20 days $2,086.05
Mitochondrial Citric Acid(MCA) Content Assay Kit
The Mitochondrial Citric Acid (MCA) Content Assay Kit is widely used in research to measure citric acid levels in mitochondria, providing insights into cellular metabolism and energy production. It is particularly valuable in studies focused on mitochondrial function, metabolic disorders, and the effects of drugs or toxins on cellular energy pathways. Researchers use this kit to assess changes in citric acid concentration, which is a key intermediate in the tricarboxylic acid (TCA) cycle, to understand metabolic flux and mitochondrial efficiency. It is also applied in fields like cancer research, where altered metabolism is a hallmark, and in neurodegenerative disease studies to evaluate mitochondrial dysfunction. Additionally, the kit is useful in agricultural and environmental sciences to study the impact of stressors on cellular energy metabolism in plants or microorganisms. Its simplicity and accuracy make it a preferred tool for high-throughput screening in drug discovery and metabolic profiling.
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