人乳腺癌细胞MDA-MB-361
BLUEFBIO™ Product Sheet
细胞名称 |
人乳腺癌细胞MDA-MB-361 |
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货物编码 |
BFN60805671 |
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产品规格 |
T25培养瓶x1 |
1.5ml冻存管x2 |
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细胞数量 |
1x10^6 |
1x10^6 |
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保存温度 |
37℃ |
-198℃ |
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运输方式 |
常温保温运输 |
干冰运输 |
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安全等级 |
1 |
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用途限制 |
仅供科研 1类 |
培养体系 |
DMEM高糖+10%FBS+1%双抗 |
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培养温度 |
37℃ |
二氧化碳浓度 |
5% |
简介 |
人乳腺癌细胞MDA-MB-361源自40岁女性乳腺癌的脑转移组织 |
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注释 |
Part of: Cancer Cell Line Encyclopedia (CCLE) project. Part of: COSMIC cell lines project. Part of: EGFR genetic alteration cell panel (ATCC TCP-1027). Part of: GrayJW Breast Cancer Cell Line Panel. Part of: ICBP43 breast cancer cell line panel. Part of: KuDOS 95 cell line panel. Part of: MD Anderson Cell Lines Project. Part of: PI3K genetic alteration cell panel (ATCC TCP-1028). Doubling time: 4.3 days (PubMed=9671407); 92.83 hours (https://www.synapse.org/#!Synapse:syn2347014). Microsatellite instability: Stable (MSS) (Sanger). Omics: Array-based CGH. Omics: CNV analysis. Omics: Deep exome analysis. Omics: Deep RNAseq analysis. Omics: DNA methylation analysis. Omics: miRNA expression profiling. Omics: Protein expression by reverse-phase protein arrays. Omics: SNP array analysis. Omics: Transcriptome analysis. |
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STR信息 |
Amelogenin X CSF1PO 12 D2S1338 19,20 D3S1358 16 D5S818 10,11 D7S820 9,12 (ATCC; CCRID; Cosmic-CLP; PubMed=25877200; PubMed=28889351) 9 (BCRC) D8S1179 15 D13S317 11 D16S539 11,12 D18S51 12,15 D19S433 12.2,14 D21S11 30,32.2 (CCRID; PubMed=25877200) 32.2 (PubMed=28889351) FGA 20,24 Penta D 12,13 Penta E 8,14 TH01 9.3 TPOX 8,11 vWA 17 |
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参考文献 |
PubMed=28889351; DOI=10.1007/s10549-017-4496-x Saunus J.M., Smart C.E., Kutasovic J.R., Johnston R.L., Kalita-de Croft P., Miranda M., Rozali E.N., Vargas A.C., Reid L.E., Lorsy E., Cocciardi S., Seidens T., McCart Reed A.E., Dalley A.J., Wockner L.F., Johnson J., Sarkar D., Askarian-Amiri M.E., Simpson P.T., Khanna K.K., Chenevix-Trench G., Al-Ejeh F., Lakhani S.R. Multidimensional phenotyping of breast cancer cell lines to guide preclinical research. Breast Cancer Res. Treat. 167:289-301(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) |