()-JQ1 PA
98%
- Product Code: 55957
CAS:
2115701-93-2
| Molecular Weight: | 437.95 g./mol | Molecular Formula: | C₂₂H₂₀ClN₅Os |
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| Density: | Storage Condition: | -20°C, airtight, dry |
Product Description:
()-JQ1 PA is primarily utilized in biomedical research as a potent and selective inhibitor of the BET (Bromodomain and Extra-Terminal) family of proteins. It is extensively studied for its role in modulating gene expression by targeting bromodomains, which are crucial for reading acetylated lysine residues on histones. This makes it a valuable tool in understanding epigenetic regulation and its implications in various diseases, particularly cancer. Researchers use ()-JQ1 PA to investigate its potential in disrupting oncogenic transcriptional programs, thereby inhibiting the growth and survival of cancer cells. Additionally, it has shown promise in studies related to inflammation and immune response, as BET proteins play a significant role in regulating these processes. Its application extends to preclinical models, where it helps in evaluating therapeutic strategies for conditions like leukemia, lymphoma, and other malignancies.
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.010 | 10-20 days | $1,366.54 |
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()-JQ1 PA
()-JQ1 PA is primarily utilized in biomedical research as a potent and selective inhibitor of the BET (Bromodomain and Extra-Terminal) family of proteins. It is extensively studied for its role in modulating gene expression by targeting bromodomains, which are crucial for reading acetylated lysine residues on histones. This makes it a valuable tool in understanding epigenetic regulation and its implications in various diseases, particularly cancer. Researchers use ()-JQ1 PA to investigate its potential in disrupting oncogenic transcriptional programs, thereby inhibiting the growth and survival of cancer cells. Additionally, it has shown promise in studies related to inflammation and immune response, as BET proteins play a significant role in regulating these processes. Its application extends to preclinical models, where it helps in evaluating therapeutic strategies for conditions like leukemia, lymphoma, and other malignancies.
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