1-Hydroxy-3,5-dimethoxyxanthone
1-Hydroxy-3,5-dimethoxyxanthone is a xanthone and Antibacterial agent. 1-Hydroxy-3,5-dimethoxyxanthone can be isolated from Lomatogonium rotatum. 1-Hydroxy-3,5-dimethoxyxanthone inhibits the growth of Pseudomonas aeruginosa ATCC27853 and Escherichia coli ATCC25923 with an MIC of 640 μg/mL. 1-Hydroxy-3,5-dimethoxyxanthone exhibits anticancer activity against cervical cancer, breast cancer, melanoma, liver cancer, and gastric cancer.
For research use only. We do not sell to patients.
- CAS No.: 6563-48-0
- Formula: C15H12O5
- Molecular Weight:272.25
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Storage:
Please store the product under the recommended conditions in the Certificate of Analysis.
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Biological Activity
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Chemical Information
- Protocols
- Purity & Documentation
- References
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Help & FAQs
Biological Activity
Description
In Vitro
1-Hydroxy-3,5-dimethoxyxanthone (range of concentrations; 48 h) inhibits the growth of HeLa, MCF-7, A375-S2, HepG2, and SGC-7901 cells in vitro, with the strongest activity against SGC-7901 cells (IC50 = 48.74±3.22 μg/mL) after 48 h incubation[1].
1-Hydroxy-3,5-dimethoxyxanthone (1.25-640 μg/mL; 24 h) inhibits the growth of Pseudomonas aeruginosa ATCC27853 and Escherichia coli ATCC25923 in vitro with an MIC of 640 μg/mL[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
Chemical Information
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CAS No. 6563-48-0
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Molecular Weight 272.25
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Formula C15H12O5
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SMILES
O=C1C2=C(OC3=C1C(O)=CC(OC)=C3)C(OC)=CC=C2
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Initial Source
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Shipping
Room temperature in continental US; may vary elsewhere.
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Storage
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocols
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Research Protocol for Infectious Diseases
Infectious-disease experiments test how pathogens interact with host barriers, innate immune receptors, inflammatory signaling, pathogen replication, and tissue injury; pattern-recognition receptors such as TLRs, RIG-I-like receptors, NOD-like receptors, and inflammasomes detect microbial molecules and activate NF-κB, interferon, and cytokine responses. The central hypothesis is that infection severity reflects the balance between pathogen burden and host response: protective inflammation restricts pathogen growth, whereas excessive or mislocalized inflammation contributes to tissue damage and disease phenotype. Unresolved questions include which host pathways are protective versus pathogenic, why some infection models fail to translate to human disease, and which combined readouts best predict clinically relevant infection outcomes.
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Liver Cancer Modeling
Liver cancer can be classified into primary liver cancer and secondary liver cancer. Secondary liver cancer is the metastatic liver cancer. Primary liver cancer includes hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) and fibrolamellar HCC, of which HCC is the most common form, accounting for approximately 90% of primary liver cancers[1]. HCC mouse models include chemical agent-induced models, transplanted tumor models, and genetic engineered models.
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Breast Cancer Modeling
Breast cancer is a heterogeneous cancer, and it has been distinguished into four subtypes: luminal A, luminal B, HER2-positive and basal-like. Molecular mutations, epigenetic alterations, hormone exposure and immune microenvironment are related to the progression of breast cancer.
Purity & Documentation
References
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)
1-Hydroxy-3,5-dimethoxyxanthone Related Classifications
HY-N18009 Related Classifications
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