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Merck
CN
所有图片(1)

文件

安全信息

553210

Sigma-Aldrich

Rapamycin

≥95% (HPLC), powder

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别名:
Rapamycin
经验公式(希尔记法):
C51H79NO13
CAS号:
分子量:
914.17
MDL编号:
UNSPSC代码:
12352200
NACRES:
NA.77

质量水平

检测方案

≥95% (HPLC)

形式

powder

制造商/商品名称

Calbiochem®

储存条件

OK to freeze

颜色

clear

溶解性

DMSO: 200 mg/mL
ethanol: 50 mg/mL

运输

ambient

储存温度

−20°C

一般描述

抗真菌剂和免疫抑制剂。选择性抑制哺乳动物雷帕霉素靶蛋白(mTOR),并阻断随后的p70 S6激酶激活(IC50 = 50 pM)。可特异性抑制mTORC1,但可磷酸化Akt(蛋白激酶B)Ser473位的mTORC2则对雷帕霉素不敏感。防止 IGF-II 的翻译激活。还防止静止的T细胞进入细胞周期,但不直接阻止细胞周期进程。研究表明,可抑制随后的信号传导事件,例如p110Rb 磷酸化、p34cdc2激酶激活和细胞周期蛋白A合成。表现出与FK-50 6结合蛋白的强结合力。还据报道在鼠B细胞系中诱导凋亡,抑制淋巴因子诱导的细胞增殖(在G1期),并不可逆地阻滞酿酒酵母细胞(在G1)。另提供5 mM (500 µg/109 µl)雷帕霉素DMSO溶液(货号 553211)和10 mM (1 mg/109 µl)雷帕霉素乙醇溶液(货号553212)。
选择性抑制哺乳动物雷帕霉素靶蛋白(mTOR),并阻断随后的p70 S6激酶激活(IC50 = 50 pM)。可特异性抑制mTORC1,但可磷酸化Akt(蛋白激酶B)Ser473位的mTORC2则对雷帕霉素不敏感。防止 IGF-II 的翻译激活。还防止静止的T细胞进入细胞周期,但不直接阻止细胞周期进程。研究表明,可抑制随后的信号传导事件,例如p110Rb 磷酸化、p34cdc2激酶激活和细胞周期蛋白A合成。表现出与FK-50 6结合蛋白的强结合力。还据报道在鼠B细胞系中诱导凋亡,抑制淋巴因子诱导的细胞增殖(在G1期),并不可逆地阻滞酿酒酵母细胞(在G1期)。

生化/生理作用

主靶
雷帕霉素(mTOR)的哺乳动物靶标
产物不与ATP竞争。
可逆:否
细胞渗透性:否
靶标IC50:50 pM,抑制p70 S6激酶

警告

毒性:标准处理(A)

重悬

复溶后,等分并冷冻保存(-20°C)。储备溶液在-20°C下可稳定保存至多3个月。

其他说明

Chen, T., et al. 2011.Aging Cell.10, 908.
Powell, D.J., et al. 2003.Mol. cell Biol.23, 7794.
Braun, W., et al. 1995.FASEB J.9, 63.
Nielsen, F.C., et al. 1995.Nature 377, 358.
Aagaard-Tillery, K.M. and Jelinek, D.F.1994.Cell.Immunol. 156, 493.
Gottschalk, A.R., et al. 1994.Proc.Natl.Acad.Sci. USA91, 7350.
Morice, W.G., et al. 1993.J. Biol. Chem.268, 3734.
Terada, N., et al. 1993.J. Biol. Chem.268, 12062.
Kuo, J., et al. 1992.Nature 358, 70.
Price, D.J., et al. 1992.Science257, 973.
Heitman, J., et al. 1991.Science253, 905.
Kay, J.E., et al. 1991.Immunology72, 544.
Schreiber, S.L.1991.Science251, 283.
Bierer, B.E., et al. 1990.Proc.Natl.Acad.Sci. USA87, 9231.
Dumont, F.J., et al. 1990.J. Immunol.144, 251.

法律信息

CALBIOCHEM is a registered trademark of Merck KGaA, Darmstadt, Germany

象形图

Health hazard

警示用语:

Warning

危险声明

危险分类

Carc. 2 - Repr. 2

WGK

WGK 2

法规信息

监管及禁止进口产品

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Christopher A Jackson et al.
eLife, 9 (2020-01-28)
Understanding how gene expression programs are controlled requires identifying regulatory relationships between transcription factors and target genes. Gene regulatory networks are typically constructed from gene expression data acquired following genetic perturbation or environmental stimulus. Single-cell RNA sequencing (scRNAseq) captures the
Isis M Ornelas et al.
Glia, 68(6), 1274-1290 (2020-01-07)
Oligodendrocyte precursor cells (OPCs) differentiate and mature into oligodendrocytes, which produce myelin in the central nervous system. Prior studies have shown that the mechanistic target of rapamycin (mTOR) is necessary for proper myelination of the mouse spinal cord and that
Stosh Ozog et al.
Blood, 134(16), 1298-1311 (2019-08-17)
Therapeutic gene delivery to hematopoietic stem cells (HSCs) holds great potential as a life-saving treatment of monogenic, oncologic, and infectious diseases. However, clinical gene therapy is severely limited by intrinsic HSC resistance to modification with lentiviral vectors (LVs), thus requiring
Jaclyn E Welles et al.
American journal of physiology. Endocrinology and metabolism (2020-05-19)
Fibroblast growth factor 21 (FGF21) is a peptide hormone that acts to enhance insulin sensitivity and reverse many of the metabolic defects associated with consumption of a high-fat diet. Recent studies show that the liver is the primary source of
Erika E Kuchen et al.
eLife, 9 (2020-01-24)
Cell heterogeneity may be caused by stochastic or deterministic effects. The inheritance of regulators through cell division is a key deterministic force, but identifying inheritance effects in a systematic manner has been challenging. Here, we measure and analyze cell cycles

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