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简要描述:青旗(上海)生物技术发展有限公司,总部位于上海浦东新区,依托本地高校资源,逐步发展成为以生物技术为主的研发、生产、培训为一体的综合化产业平台,在标准化细胞库建立及细胞药物前端模型方面成果显著。公司生产经营原代细胞、细胞系、ELISA试剂盒、感受态细胞和HPLC检测等科研产品与服务。我们秉承对用户负责的态度,以对科研的高度严谨,以严格的质量控制,为广大生物医学科研用户提供更优质的服务!
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品牌 | 其他品牌 | 货号 | BFN60811444 |
---|---|---|---|
规格 | T25培养瓶x1 1.5ml冻存管x2 | 供货周期 | 现货 |
主要用途 | 仅供科研 | 应用领域 | 医疗卫生,生物产业 |
细胞名称 | 人膀胱癌细胞SW1710 | ||
货物编码 | BFN60811444 | ||
产品规格 | T25培养瓶x1 | 1.5ml冻存管x2 | |
细胞数量 | 1x10^6 | 1x10^6 | |
保存温度 | 37℃ | -198℃ | |
运输方式 | 常温保温运输 | 干冰运输 | |
安全等级 | 1 | ||
用途限制 | 仅供科研 3类 |
培养体系 | DMEM(HYCLONE SH30022.01)+10%FBS+1%三抗 | ||
培养温度 | 37℃ | 二氧化碳浓度 | 5% |
简介 | 人膀胱癌细胞SW1710取自84岁女性供体 | ||
注释 | Part of: BLA-40 bladder carcinoma cell line panel. Part of: Cancer Cell Line Encyclopedia (CCLE) project. Part of: COSMIC cell lines project. Part of: UBC-40 urothelial bladder cancer cell line index. From: Scott and White Clinic; Temple; USA. Doubling time: ~25-32 hours (DSMZ). Microsatellite instability: Stable (MSS) (Sanger). Omics: CNV analysis. Omics: Deep exome analysis. Omics: Deep RNAseq analysis. Omics: DNA methylation analysis. Omics: SNP array analysis. Omics: Transcriptome analysis. | ||
基因突变 | TERT c.228C>T (-124C>T); in promoter (PubMed=24035680). | ||
HLA信息 |
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STR信息 | Amelogenin X CSF1PO 11,12 D5S818 12 D7S820 8,11 D13S317 12 D16S539 8,11 TH01 7,10 (Cosmic-CLP) 7,8,9.3 (DSMZ) 7,9.3 (PubMed=27270441) TPOX 9,11 vWA 16,17
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参考文献 | PubMed=27270441; DOI=10.1038/onc.2016.172 Nickerson M.L., Witte N., Im K.M., Turan S., Owens C., Misner K., Tsang S.X., Cai Z., Wu S., Dean M., Costello J.C., Theodorescu D. Molecular analysis of urothelial cancer cell lines for modeling tumor biology and drug response. Oncogene 36:35-46(2017)
PubMed=29732388; DOI=10.3233/BLC-180167 Zuiverloon T.C.M., de Jong F.C., Costello J.C., Theodorescu D. Systematic review: characteristics and preclinical uses of bladder cancer cell lines. Bladder Cancer 4:169-183(2018)
PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747 Dutil J., Chen Z., Monteiro A.N., Teer J.K., Eschrich S.A. An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines. Cancer Res. 79:1263-1273(2019)
PubMed=31068700; DOI=10.1038/s41586-019-1186-3 Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. III, Barretina J., Gelfand E.T., Bielski C.M., Li H., Hu K., Andreev-Drakhlin A.Y., Kim J., Hess J.M., Haas B.J., Aguet F., Weir B.A., Rothberg M.V., Paolella B.R., Lawrence M.S., Akbani R., Lu Y., Tiv H.L., Gokhale P.C., de Weck A., Mansour A.A., Oh C., Shih J., Hadi K., Rosen Y., Bistline J., Venkatesan K., Reddy A., Sonkin D., Liu M., Lehar J., Korn J.M., Porter D.A., Jones M.D., Golji J., Caponigro G., Taylor J.E., Dunning C.M., Creech A.L., Warren A.C., McFarland J.M., Zamanighomi M., Kauffmann A., Stransky N., Imielinski M., Maruvka Y.E., Cherniack A.D., Tsherniak A., Vazquez F., Jaffe J.D., Lane A.A., Weinstock D.M., Johannessen C.M., Morrissey M.P., Stegmeier F., Schlegel R., Hahn W.C., Getz G., Mills G.B., Boehm J.S., Golub T.R., Garraway L.A., Sellers W.R. Next-generation characterization of the Cancer Cell Line Encyclopedia. Nature 569:503-508(2019) |