HG6-64-1
(Synonyms: HMSL 10017-101-1) 目录号 : GC36223HG6-64-1是有效选择性的B-Raf抑制剂, 来自专利专利WO 2011090738 A2,化合物实例9 (XI-1)。在B-raf V600E转化的Ba/F3细胞中IC50值为0.09 μM。
Cas No.:1315329-43-1
Sample solution is provided at 25 µL, 10mM.
Quality Control & SDS
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- Purity: >98.00%
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HG6-64-1 is a potent and selective B-Raf inhibitor extracted from patent WO 2011090738 A2, example 9 (XI-1); has a IC50 of 0.09 μM on B-raf V600E transformed Ba/F3 cells. B-RafV600E|0.09 μM (IC50, in Ba/F3 cells)
[1]. WO 2011090738 A2
Cas No. | 1315329-43-1 | SDF | |
别名 | HMSL 10017-101-1 | ||
Canonical SMILES | O=C(NC1=CC=C(CN2CCN(CC)CC2)C(C(F)(F)F)=C1)C3=CC=C(C)C(/C=C/C4=CN=C(NC=C5)C5=C4OC)=C3 | ||
分子式 | C32H34F3N5O2 | 分子量 | 577.64 |
溶解度 | DMSO: ≥ 100 mg/mL (173.12 mM); Water: < 0.1 mg/mL (insoluble) | 储存条件 | 4°C, protect from light, stored under nitrogen |
General tips | 请根据产品在不同溶剂中的溶解度选择合适的溶剂配制储备液;一旦配成溶液,请分装保存,避免反复冻融造成的产品失效。 储备液的保存方式和期限:-80°C 储存时,请在 6 个月内使用,-20°C 储存时,请在 1 个月内使用。 为了提高溶解度,请将管子加热至37℃,然后在超声波浴中震荡一段时间。 |
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Shipping Condition | 评估样品解决方案:配备蓝冰进行发货。所有其他可用尺寸:配备RT,或根据请求配备蓝冰。 |
制备储备液 | |||
1 mg | 5 mg | 10 mg | |
1 mM | 1.7312 mL | 8.6559 mL | 17.3118 mL |
5 mM | 0.3462 mL | 1.7312 mL | 3.4624 mL |
10 mM | 0.1731 mL | 0.8656 mL | 1.7312 mL |
第一步:请输入基本实验信息(考虑到实验过程中的损耗,建议多配一只动物的药量) | ||||||||||
给药剂量 | mg/kg | 动物平均体重 | g | 每只动物给药体积 | ul | 动物数量 | 只 | |||
第二步:请输入动物体内配方组成(配方适用于不溶于水的药物;不同批次药物配方比例不同,请联系GLPBIO为您提供正确的澄清溶液配方) | ||||||||||
% DMSO % % Tween 80 % saline | ||||||||||
计算重置 |
计算结果:
工作液浓度: mg/ml;
DMSO母液配制方法: mg 药物溶于 μL DMSO溶液(母液浓度 mg/mL,
体内配方配制方法:取 μL DMSO母液,加入 μL PEG300,混匀澄清后加入μL Tween 80,混匀澄清后加入 μL saline,混匀澄清。
1. 首先保证母液是澄清的;
2.
一定要按照顺序依次将溶剂加入,进行下一步操作之前必须保证上一步操作得到的是澄清的溶液,可采用涡旋、超声或水浴加热等物理方法助溶。
3. 以上所有助溶剂都可在 GlpBio 网站选购。
Ferroptosis-Related Gene Signature Promotes Ovarian Cancer by Influencing Immune Infiltration and Invasion
J Oncol 2021 May 26;2021:9915312.PMID:34135962DOI:PMC8175133
Ovarian cancer is a kind of gynecological malignancy with high mortality. Ferroptosis is a new type of iron-dependent cell death characterized by the formation of lipid peroxides and excessive accumulation of reactive oxygen species. Studies have shown that ferroptosis modulates tumor genesis, progression, and invasion, including ovarian cancer. Based on the mRNA expression data from TCGA, we construct a scoring system using consensus clustering analysis, univariate Cox regression analysis, and least absolute selection operator. Then, we systematically evaluate the relationship between score and clinical characteristics of ovarian cancer. The result from the prediction of biofunction pathways shows that score serves as an independent prognostic marker for ovarian cancer and affects tumor progression by modulating tumor metastasis. Moreover, immunocytes such as activated CD4 T cell, activated CD8 T cell, regulatory T cells, macrophage, and stromal cells, including adipocytes, epithelial cells, and fibroblast infiltrate more in the tumor microenvironment in a high-score group, indicating ferroptosis can also affect tumor immune landscape. Critically, four potentially sensitive drugs, including staurosporine, epothilone B, DMOG, and HG6-64-1 based on the scores, are predicted, and DMOG is recognized as a novel targeted drug for ovarian cancer. In general, we construct the scoring system based on ferroptosis-related genes that can predict the prognosis of ovarian cancer patients and propose that ferroptosis may affect ovarian cancer progression by mediating tumor metastasis and immune landscape. Novel drugs to target ovarian cancer are also predicted.