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.
Übersicht
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
Synonyme
NSC31324, NSC 31324
Spezifikationen & Reinheit
Moligand™, ≥96%
Storage
Store at 2-8°C,Protected from light
Verschickt in
Wet ice
Dieses Produkt erfordert Kühlkettenversand. Grundversand und andere Economy-Optionen sind nicht verfügbar.
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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