Glutamic Acid Decarboxylase(GAD Activity Assay Kit

Micro method

  • Product Code: 112821
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Product Description: The Glutamic Acid Decarboxylase (GAD) Activity Assay Kit is widely used in research and diagnostic laboratories to measure the activity of the GAD enzyme. This enzyme plays a crucial role in the biosynthesis of gamma-aminobutyric acid (GABA), a major inhibitory neurotransmitter in the central nervous system. By quantifying GAD activity, researchers can study neurological disorders, such as epilepsy, Parkinson’s disease, and anxiety, which are often linked to imbalances in GABA levels. Additionally, the kit is employed in diabetes research, as GAD is an autoantigen in type 1 diabetes, and its activity can help in understanding autoimmune responses. The assay is also utilized in pharmaceutical development to screen potential drugs that modulate GABAergic pathways, aiding in the discovery of treatments for neurological and psychiatric conditions. Its simplicity and accuracy make it a valuable tool in both academic and clinical settings.
Sizes / Availability / Pricing:
Size (g) Availability Price Quantity
100.000 10-20 days £238.77
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Glutamic Acid Decarboxylase(GAD Activity Assay Kit
The Glutamic Acid Decarboxylase (GAD) Activity Assay Kit is widely used in research and diagnostic laboratories to measure the activity of the GAD enzyme. This enzyme plays a crucial role in the biosynthesis of gamma-aminobutyric acid (GABA), a major inhibitory neurotransmitter in the central nervous system. By quantifying GAD activity, researchers can study neurological disorders, such as epilepsy, Parkinson’s disease, and anxiety, which are often linked to imbalances in GABA levels. Additionally, the kit is employed in diabetes research, as GAD is an autoantigen in type 1 diabetes, and its activity can help in understanding autoimmune responses. The assay is also utilized in pharmaceutical development to screen potential drugs that modulate GABAergic pathways, aiding in the discovery of treatments for neurological and psychiatric conditions. Its simplicity and accuracy make it a valuable tool in both academic and clinical settings.
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