≥98% 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 0 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Visão geral
LEQ506 is a second-generation inhibitor of smoothened ( Smo ) with IC 50 s of 2 and 4 nM in human and mouse, respectively.
In Vitro
LEQ506 is a second-generation inhibitor of smoothened (Smo) with IC 50 s of 2 and 4 nM in human and mouse, respectively. LEQ506 inhibits Hedgehog (Hh) signaling in a human cell line (HEPM) as measured by the amount of Gli mRNA with an IC 50 ~6-fold lower than that of Compound 2. LEQ506 is an efficacious compound by consistently decreasing Gli1 mRNA by about 70 to 80%. LEQ506 shows a tendency to preferentially inhibit Gli1 rather than Ptch1 mRNA. LEQ506 (at 1%) is also an efficacious compound with an inhibition of 80 to 90% for Gli1 and of 60 to 70% for Ptch1. MCE has not independently confirmed the accuracy of these methods. They are for reference only.
Cell Assay
DAOY cells are serum starved 16 h before experiments and subsequently incubated for 24 h with sonic Hedgehog (SHH) (50 nM) and LEQ506 at different concentrations . Cells are then washed twice with PBS and stored at -80°C until RNA isolation. Total RNA is isolated using the RNeasy Mini Kit. The amount and quality of extracted RNA are determined using the 2100 Bioanalyzer. MCE has not independently confirmed the accuracy of these methods. They are for reference only.
This compound belongs to the class of organic compounds known as n-arylpiperazines. These are organic compounds containing a piperazine ring where the nitrogen ring atom carries an aryl group.
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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