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T25
ZR-75-1/ZR-75-1细胞系/ZR-75-1细胞株/ZR-75-1人乳腺导管癌细胞
Cell line name ZR-75-1
Synonyms Zr-75-1; ZR751; ZR75-1; ZR75.1; ZR75_1
Accession CVCL_0588
Resource Identification Initiative To cite this cell line use: ZR-75-1 (RRID:CVCL_0588)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: JWGray breast cancer cell line panel.
Part of: ICBP43 breast cancer cell line panel.
Part of: JFCR45 cancer cell line panel.
Part of: KuDOS 95 cell line panel.
Part of: MD Anderson Cell Lines Project.
Population: Caucasian.
Doubling time: 80 hours (Note=At 40th passage) (PubMed=688225); 79 hours (PubMed=24389870); ~54 hours (PBCF); 70.09 hours (JWGray panel).
Omics: Array-based CGH.
Omics: CNV analysis.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: H2BK120ub ChIP-seq epigenome analysis.
Omics: H3K23ac ChIP-seq epigenome analysis.
Omics: H3K27ac ChIP-seq epigenome analysis.
Omics: H3K27me3 ChIP-seq epigenome analysis.
Omics: H3K36me3 ChIP-seq epigenome analysis.
Omics: H3K4me1 ChIP-seq epigenome analysis.
Omics: H3K4me3 ChIP-seq epigenome analysis.
Omics: H3K79me2 ChIP-seq epigenome analysis.
Omics: H3K9ac ChIP-seq epigenome analysis.
Omics: H3K9me3 ChIP-seq epigenome analysis.
Omics: H4K8ac ChIP-seq epigenome analysis.
Omics: Glycoproteome analysis by proteomics.
Omics: miRNA expression profiling.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Omics: Transcriptome analysis by serial analysis of gene expression (SAGE).
Anecdotal: Used in a study utilising the fruit fly's olfactory sy
PubMed=20070913; DOI=10.1186/1471-2407-10-15; PMCID=PMC2836299
Tsuji K., Kawauchi S., Saito S., Furuya T., Ikemoto K., Nakao M., Yamamoto S., Oka M., Hirano T., Sasaki K.
Breast cancer cell lines carry cell line-specific genomic alterations that are distinct from aberrations in breast cancer tissues: comparison of the CGH profiles between cancer cell lines and primary cancer tissues.
BMC Cancer 10:15.1-15.10(2010)
PubMed=21378333
Ford C.H.J., Al-Bader M., Al-Ayadhi B., Francis I.
Reassessment of estrogen receptor expression in human breast cancer cell lines.
Anticancer Res. 31:521-527(2011)
PubMed=22460905; DOI=10.1038/nature11003; PMCID=PMC3320027
Barretina J.G., Caponigro G., Stransky N., Venkatesan K., Margolin A.A., Kim S., Wilson C.J., Lehar J., Kryukov G.V., Sonkin D., Reddy A., Liu M., Murray L., Berger M.F., Monahan J.E., Morais P., Meltzer J., Korejwa A., Jane-Valbuena J., Mapa F.A., Thibault J., Bric-Furlong E., Raman P., Shipway A., Engels I.H., Cheng J., Yu G.-Y.K., Yu J.-J., Aspesi P. Jr., de Silva M., Jagtap K., Jones M.D., Wang L., Hatton C., Palescandolo E., Gupta S., Mahan S., Sougnez C., Onofrio R.C., Liefeld T., MacConaill L.E., Winckler W., Reich M., Li N.-X., Mesirov J.P., Gabriel S.B., Getz G., Ardlie K., Chan V., Myer V.E., Weber B.L., Porter J., Warmuth M., Finan P., Harris J.L., Meyerson M.L., Golub T.R., Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Nature 483:603-607(2012)
PubMed=22585861; DOI=10.1158/2159-8290.CD-11-0224; PMCID=PMC5057396
Marcotte R., Brown K.R., Suarez Saiz F.J., Sayad A., Karamboulas K., Krzyzanowski P.M., Sircoulomb F., Medrano M., Fedyshyn Y., Koh J.L.-Y., van Dyk D., Fedyshyn B., Luhova M., Brito G.C., Vizeacoumar F.J., Vizeacoumar F.S., Datti A., Kasimer D., Buzina A., Mero P., Misquitta C., Normand J., Haider M., Ketela T., Wrana J.L., Rottapel R., Neel B.G., Moffat J.
Essential gene profiles in breast, pancreatic, and ovarian cancer cells.
Cancer Discov. 2:172-189(2012)
PubMed=23601657; DOI=10.1186/bcr3415; PMCID=PMC3672661
Riaz M., van Jaarsveld M.T.M., Hollestelle A., Prager-van der Smissen W.J.C., Heine A.A.J., Boersma A.W.M., Liu J.-J., Helmijr J.C.A., Ozturk B., Smid M., Wiemer E.A.C., Foekens J.A., Martens J.W.M.
miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.
Breast Cancer Res. 15:R33.1-R33.17(2013)
PubMed=24094812; DOI=10.1016/j.ccr.2013.08.020; PMCID=PMC3931310
Timmerman L.A., Holton T., Yuneva M., Louie R.J., Padro M., Daemen A., Hu M., Chan D.A., Ethier S.P., van 't Veer L.J., Polyak K., McCormick F., Gray J.W.
Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target.
Cancer Cell 24:450-465(2013)
PubMed=24162158; DOI=10.1007/s10549-013-2743-3; PMCID=PMC3832776
Prat A., Karginova O., Parker J.S., Fan C., He X.-P., Bixby L.M., Harrell J.C., Roman E., Adamo B., Troester M.A., Perou C.M.
Characterization of cell lines derived from breast cancers and normal mammary tissues for the study of the intrinsic molecular subtypes.
Breast Cancer Res. Treat. 142:237-255(2013)
PubMed=24176112; DOI=10.1186/gb-2013-14-10-r110; PMCID=PMC3937590
Daemen A., Griffith O.L., Heiser L.M., Wang N.J., Enache O.M., Sanborn Z., Pepin F., Durinck S., Korkola J.E., Griffith M., Hur J.S., Huh N., Chung J., Cope L., Fackler M.J., Umbricht C.B., Sukumar S., Seth P., Sume V.P., Jakkula L.R., Lu Y.-L., Mills G.B., Cho R.J., Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W.
Modeling precision treatment of breast cancer.
Genome Biol. 14:R110.1-R110.14(2013)
PubMed=24389870; DOI=10.1038/srep03576; PMCID=PMC3880960
Strauch M., Ludke A., Munch D., Laudes T., Galizia C.G., Martinelli E., Lavra L., Paolesse R., Ulivieri A., Catini A., Capuano R., Di Natale C.
More than apples and oranges -- detecting cancer with a fruit fly's antenna.
Sci. Rep. 4:3576-3576(2014)
PubMed=25238572; DOI=10.1021/pr500727h
Groessl M., Slany A., Bileck A., Gloessmann K., Kreutz D., Jaeger W., Pfeiler G., Gerner C.
Proteome profiling of breast cancer biopsies reveals a wound healing signature of cancer-associated fibroblasts.
J. Proteome Res. 13:4773-4782(2014)
PubMed=25960936; DOI=10.4161/21624011.2014.954893; PMCID=PMC4355981
Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.
A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.
OncoImmunology 3:e954893.1-e954893.12(2014)
PubMed=25485619; DOI=10.1038/nbt.3080
Klijn C., Durinck S., Stawiski E.W., Haverty P.M., Jiang Z.-S., Liu H.-B., Degenhardt J., Mayba O., Gnad F., Liu J.-F., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu M.-M., Zynda G.J., Brauer M.J., Wu T.D., Gentleman R.C., Manning G., Yauch R.L., Bourgon R., Stokoe D., Modrusan Z., Neve R.M., de Sauvage F.J., Settleman J., Seshagiri S., Zhang Z.-M.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(2015)
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文献和实验*发表【中文论文】请标注：由博辉生物科技（广州）有限公司提供； *发表【英文论文】请标注：From Bohui Biological Technology (Guangzhou) Co., Ltd.
HBC裸鼠移植模型的建立包括活检取材的HBC标本和细胞株，后者应用较广泛。本贴主要讨论后者，算是抛砖了！1、人乳腺癌细胞株的选择目前人乳腺癌细胞建株的癌细胞较多，本人曾接触过细胞株总结如下：ER（+）：MCF-7（来源：乳腺腺癌），ZR-75-30（乳腺导管癌），T47D（乳腺导管癌），ZR-75（乳腺腺癌）。ER（-）：MDA-MB-435s（乳腺导管癌），MDA-MB-435（乳腺导管癌），SK-BR-3 （乳腺腺癌），MDA-MB-231（乳腺腺癌），MDA-MB-453（乳腺
起关键作用。但最近文献报道，表观遗传学改变在ER基因失活过程中起重要作用。ER基因定位于6q25，在其启动子区与第一外显子区存在CpG岛。用DNA印迹法和甲基化特异PCR(MPCR)分析表明，在正常乳腺组织及ER阳性的乳腺癌细胞系，如MCF―7、T47―D、ZR75―1，ER基因CpG岛未发生甲基化，而约50％的原发性乳腺癌和ER阴性的乳腺癌细胞系，如MDA―MB―231、MDA―MB―435、MDA―MB―468、Hs578t，ER基因CpG岛发生甲基化。ER基因CpG岛甲基化与其表达下降和缺失
前言 细胞培养是各类生命科学和临床研究的起点。 但是，当前细胞培养过程效率低下，并且严重依赖熟练研究人员的经验和技术。 在当前的培养过程中，研究人员需要从培养箱中取出细胞，并通过在显微镜下进行观察对细胞状况进行评估。 由于该过程是以手动方式完成的，因此结果与研究人员的技能和经验息息相关。 在某些实验室，每个研究人员都要培养多个细胞系，因而很难确保实验所要求的细胞质量。 为了获得诸如细胞数量等定量数据，必须要在每次测量后将样品剥离并丢弃。 这个耗费时间的过程最终往往得到的是碎片
技术资料
