≥99% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at -20°C Ships Ice chest + Ice pads Check lot-specific COA for exact specifications.
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Quality documents
SDS, COA, datasheet, and spec sheet available for download. Lot-specific COA accessible via lot number lookup.
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Literature proof
Cited in 2 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Descripción general
PQ-10 is a potent inhibitor of Phosphodiesterase 10A ( PDE10A ) with IC 50 and ED 50 of 4.6 nM and 13 mg/kg, respectively. PQ-10 induces patterns of brain glucose metabolism which can be a potential translational biomarker. PQ-10 has the potential for researching psychiatric disorders like schizophrenia
In Vivo
PQ-10 shows region-specific increases in 2-DG uptake in the globus pallidus (equivalent to the external segment of the globus pallidus in primates) and the lateral habenula in mice . MCE has not independently confirmed the accuracy of these methods. They are for reference only. Animal Model: 24 –28 g male C57BL/6 mice, PDE10A WT and KO mice Dosage: 0.16, 0.63, 2.5, and 10 mg/kg Administration: s.c. Result: Showed region-specific increases in 2-DG uptake in the globus pallidus (equivalent to the external segment of the globus pallidus in primates) and the lateral habenula in mice.
PQ-10 is a potent inhibitor of Phosphodiesterase 10A ( PDE10A ) with IC 50 and ED 50 of 4.6 nM and 13 mg/kg, respectively. PQ-10 induces patterns of brain glucose metabolism which can be a potential translational biomarker. PQ-10 has the potential for res
Condiciones de almacenamiento de almacenamiento
Store at -20°C
Enviado en
Ice chest + Ice pads
Este producto requiere envío en cadena de frío. Los servicios terrestres y otros servicios económicos no están disponibles.
This compound belongs to the class of organic compounds known as quinazolinamines. These are heterocyclic aromatic compounds containing a quianazoline moiety substituted by one or more amine groups.
External Descriptors
Not available
1. Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, and Wishart DS. ClassyFire: Automated Chemical Classification With A Comprehensive, Computable Taxonomy. Journal of Cheminformatics, 2016, 8:61.
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