GRADE & PURITYMoligand™?Moligand™ — Aladdin's line of ligands and bioactive small molecules. Use for receptor, pathway, and binding studies needing defined small-molecule tools.≥96%
Moligand™, ≥96% Moligand™ for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at 2-8°C,Protected from light Ships Wet ice 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
Ergosterol peroxide, Ergosterol derivative, is a sterol found in edible or medicinal mushrooms. Ergosterol peroxide has anti-inflammatory, antitumor, and trypanocidal activity. Ergosterol peroxide suppresses LPS-induced phosphorylation of p38 MAPK, ERK MAPK, and JNK MAPK. Ergosterol peroxide suppresses LPS-induced DNA-binding activity of NF-κB p65 and C/EBPβ. Ergosterol peroxide suppresses LPS-induced TNF-α secretion and IL-1α/β expression. Ergosterol peroxide exerts cytostatic effects on cancer cells, increases intracellular ROS, induces CDKN1A expression, suppresses STAT1 expression, and induces apoptosis. Ergosterol peroxide disrupts Trypanosoma cruzi parasite membranes, shows trypanocidal activity. Ergosterol peroxide can be used for the research of leukemia, inflammatory responses and Chagas' disease
Specifications
Sinónimos
NSC31324, NSC 31324
Especificações e pureza
Moligand™, ≥96%
Condições de armazenamento de armazenamento
Store at 2-8°C,Protected from light
Enviado em
Wet ice
Este produto requer transporte de cadeia fria. Serviços terrestres e outros serviços econômicos não estão disponíveis.
This compound belongs to the class of organic compounds known as ergostane steroids. These are steroids with a structure based on the ergostane skeleton, which arises from the methylation of cholestane at the 24-position.
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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