17β-Hydroxywortmannin
17β-Hydroxywortmannin (Wortmannin-17β-ol) is an orally active inhibitor for phosphatidylinositol-3-kinase (PI-3-kinase) with an IC50 of 0.5 nM, suppresses the osteoclast resorption with an IC50 of 10 nM. 17β-Hydroxywortmannin exhibits antitumor activity.
For research use only. We do not sell to patients.
- CAS No.: 58053-83-1
- Formula: C23H26O8
- Molecular Weight:430.45
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Storage:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biological Activity
Description
IC50 & Target
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PI3K 0.5 nM (IC50) |
Cellular Effect
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Cell Line
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Type | Value | Description | References |
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| LNCaP | IC50 |
1.464 μM
Compound: 2, 17-hydroxywortmannin
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Growth inhibition of human LNCap cells
Growth inhibition of human LNCap cells
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[PMID: 18269228] |
In Vivo
17β-Hydroxywortmannin (2.5 mg/kg/week, i.v. for 2 weeks) exhibits antitumor efficacy towards U87MG glioma with a therapeutic index of 26 in human tumor xenografted nude mice[2].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only.
Chemical Information
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CAS No. 58053-83-1
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Molecular Weight 430.45
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Formula C23H26O8
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SMILES
C[C@@]12C3=C(C(C4=C1C(C(O[C@@H]2COC)=O)=CO4)=O)[C@@]5([H])[C@](C[C@H]3OC(C)=O)([C@H](CC5)O)C
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Synonyms
Wortmannin-17β-ol
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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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Cell Cytotoxicity Assay
Cytotoxicity assays are usually based on the assessment of cell membrane damage, which can also be indirectly detected by measuring cell viability. Detection methods include MTT assay, CKK-8 assay, LDH assay and ATP assay, etc.
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Subcutaneous Cell-Line-Derived Xenograft
Subcutaneous cell-line-derived xenograft (CDX) models are established by implanting cultured human cancer cell lines into immunodeficient mice, where the injected cells form localized tumors that can be monitored in vivo as a measure of tumorigenic potential, growth kinetics, and treatment response. These models are widely used in oncology research because they allow reproducible tumor formation and enable comparative assessment of tumor growth between different cell lines or genetic manipulations in a controlled in vivo microenvironment. Subcutaneous implantation of cancer cells in immunodeficient mice is a standard approach for evaluating tumor growth behavior and therapeutic response across multiple cancer types, including prostate, esophageal, pancreatic, and colon cancer models.
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Osteoclast differentiation from monocyte/macrophage precursors
Osteoclast differentiation is an in vitro induction assay in which monocyte/macrophage-lineage precursors are exposed to macrophage colony-stimulating factor (M-CSF) and receptor activator of NF-κB ligand (RANKL), generating multinucleated osteoclasts that are commonly identified by tartrate-resistant acid phosphatase (TRAP) staining and functionally confirmed by resorption pits on dentin, bone, or mineralized substrates. M-CSF supports survival and expansion of osteoclast precursors, while RANKL binding to RANK drives osteoclast commitment, fusion, maturation, and resorptive function; osteoprotegerin inhibits this pathway by binding RANKL and preventing RANK activation. The main readouts are the number of TRAP-positive multinucleated cells, formation of F-actin rings, and resorbed surface area; TRAP-positive multinucleated cells indicate osteoclast differentiation, whereas pit formation on dentin, bone, or mineralized coating indicates functional bone-resorbing activity.
Purity & Documentation
References
[1]. Hall TJ, et al., Wortmannin, a potent inhibitor of phosphatidylinositol 3-kinase, inhibits osteoclastic bone resorption in vitro. Calcif Tissue Int. 1995 Apr;56(4):336-8. [Content Brief]
[2]. Zask A, et al., Synthesis and structure-activity relationships of ring-opened 17-hydroxywortmannins: potent phosphoinositide 3-kinase inhibitors with improved properties and anticancer efficacy. J Med Chem. 2008 Mar 13;51(5):1319-23. [Content Brief]
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)