MS-444

≥99%

  • Product Code: 107757
  CAS:    150045-18-4
Molecular Weight: 230.22 g./mol Molecular Formula: C₁₃H₁₀O₄
EC Number: MDL Number:
Melting Point: Boiling Point:
Density: Storage Condition: 2-8°C, sealed, dry
Product Description: MS-444 is primarily used in research settings as a selective inhibitor of the RNA-binding protein Musashi. It is particularly valuable in studies focused on understanding the role of Musashi in cellular processes such as stem cell maintenance, cell differentiation, and cancer progression. By inhibiting Musashi, researchers can investigate its impact on gene expression and protein translation, which are critical in regulating cell fate and tumorigenesis. Additionally, MS-444 has potential applications in developing therapeutic strategies for cancers where Musashi is overexpressed, as it may help in suppressing tumor growth and enhancing the effectiveness of other treatments. Its use in experimental models provides insights into the molecular mechanisms underlying these processes, aiding in the discovery of novel drug targets.
Product Specification:
Test Specification
Appearance Light Yellow To Yellow To Brown Solid
Purity (%) 98.5-100
Infrared Spectrum Conforms To Structure
NMR Conforms To Structure
Sizes / Availability / Pricing:
Size (g) Availability Price Quantity
0.005 10-20 days ฿86,000.00
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MS-444
MS-444 is primarily used in research settings as a selective inhibitor of the RNA-binding protein Musashi. It is particularly valuable in studies focused on understanding the role of Musashi in cellular processes such as stem cell maintenance, cell differentiation, and cancer progression. By inhibiting Musashi, researchers can investigate its impact on gene expression and protein translation, which are critical in regulating cell fate and tumorigenesis. Additionally, MS-444 has potential applications in developing therapeutic strategies for cancers where Musashi is overexpressed, as it may help in suppressing tumor growth and enhancing the effectiveness of other treatments. Its use in experimental models provides insights into the molecular mechanisms underlying these processes, aiding in the discovery of novel drug targets.
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