万千商家帮你免费找货
0 人在求购买到急需产品
相关阅读
细胞污染识别与处理全攻略:5 种常见类型+关键误区Cytoscape 教程来了!快速实现顶刊同款通路网络图五大应用案例:Mustang Q 膜层析应用全解析1 个小工具,一次性搞定流程图、质粒图谱和信号通路图- 详细信息
- 文献和实验
- 技术资料
- 规格:
T25
【786-O】786-O细胞/786-O细胞/786-O人肾透明细胞癌细胞Cell line name 786-O
Synonyms 786-o; 786O; 786-0; 786.O; 786-O RCC; RCC 786-O; RCC_7860; RCC 7860; 7860; 786-0WT
Accession CVCL_1051
Resource Identification Initiative To cite this cell line use: 786-O (RRID:CVCL_1051)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: COSMIC cell lines project.
Part of: ENCODE project common cell types; tier 3.
Part of: MD Anderson Cell Lines Project.
Part of: NCI-60 cancer cell line panel.
Population: Caucasian.
Doubling time: 45 hours (PubMed=721102); 24 hours (PubMed=25984343); ~24 hours (CLS=300107); 22.4 hours (NCI-DTP=786-0).
Microsatellite instability: Stable (MSS) (Sanger).
Omics: Array-based CGH.
Omics: Cell surface proteome.
Omics: CNV analysis.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Fluorescence phenotype profiling.
Omics: GPI-anchored proteins analysis by proteomics.
Omics: lncRNA expression profiling.
Omics: Metabolome analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: shRNA library screening.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Misspelling: 768-0; Note=Occasionally.
Misspelling: 796-0; Note=Occasionally.
Derived from site: In situ; Kidney; UBERON=UBERON_0002113.
PubMed=23933261; DOI=10.1016/j.celrep.2013.07.018
Moghaddas Gholami A., Hahne H., Wu Z.-X., Auer F.J., Meng C., Wilhelm M., Kuster B.
Global proteome analysis of the NCI-60 cell line panel.
Cell Rep. 4:609-620(2013)
PubMed=24279929; DOI=10.1186/2049-3002-1-20; PMCID=PMC4178206
Dolfi S.C., Chan L.L.-Y., Qiu J., Tedeschi P.M., Bertino J.R., Hirshfield K.M., Oltvai Z.N., Vazquez A.
The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.
Cancer Metab. 1:20.1-20.13(2013)
PubMed=24670534; DOI=10.1371/journal.pone.0092047; PMCID=PMC3966786
Varma S., Pommier Y., Sunshine M., Weinstein J.N., Reinhold W.C.
High resolution copy number variation data in the NCI-60 cancer cell lines from whole genome microarrays accessible through CellMiner.
PLoS ONE 9:E92047-E92047(2014)
PubMed=25984343; DOI=10.1038/sdata.2014.35; PMCID=PMC4432652
Cowley G.S., Weir B.A., Vazquez F., Tamayo P., Scott J.A., Rusin S., East-Seletsky A., Ali L.D., Gerath W.F.J., Pantel S.E., Lizotte P.H., Jiang G.-Z., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E.T., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H.-B., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Meyers B.H., Armstrong S.A., Anderson K.C., Stegmaier K., Reich M., Pellman D., Boehm J.S., Mesirov J.P., Golub T.R., Root D.E., Hahn W.C.
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Sci. Data 1:140035-140035(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)
PubMed=25877200; DOI=10.1038/nature14397
Yu M., Selvaraj S.K., Liang-Chu M.M.Y., Aghajani S., Busse M., Yuan J., Lee G., Peale F.V., Klijn C., Bourgon R., Kaminker J.S., Neve R.M.
A resource for cell line authentication, annotation and quality control.
Nature 520:307-311(2015)
PubMed=25894527; DOI=10.1371/journal.pone.0121314; PMCID=PMC4404347
Bausch-Fluck D., Hofmann A., Bock T., Frei A.P., Cerciello F., Jacobs A., Moest H., Omasits U., Gundry R.L., Yoon C., Schiess R., Schmidt A., Mirkowska P., Hartlova A.S., Van Eyk J.E., Bourquin J.-P., Aebersold R., Boheler K.R., Zandstra P.W., Wollscheid B.
A mass spectrometric-derived cell surface protein atlas.
PLoS ONE 10:E0121314-E0121314(2015)
PubMed=26589293; DOI=10.1186/s13073-015-0240-5; PMCID=PMC4653878
Scholtalbers J., Boegel S., Bukur T., Byl M., Goerges S., Sorn P., Loewer M., Sahin U., Castle J.C.
TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.
Genome Med. 7:118.1-118.7(2015)
PubMed=26972028; DOI=10.1016/j.jprot.2016.03.008
Masuishi Y., Kimura Y., Arakawa N., Hirano H.
Identification of glycosylphosphatidylinositol-anchored proteins and omega-sites using TiO2-based affinity purification followed by hydrogen fluoride treatment.
J. Proteomics 139:77-83(2016)
PubMed=27141528; DOI=10.1016/j.dib.2016.04.001; PMCID=PMC4838930
Masuishi Y., Kimura Y., Arakawa N., Hirano H.
Data for identification of GPI-anchored peptides and omega-sites in cancer cell lines.
Data Brief 7:1302-1305(2016)
PubMed=27377824; DOI=10.1038/sdata.2016.52; PMCID=PMC4932877
Mestdagh P., Lefever S., Volders P.-J., Derveaux S., Hellemans J., Vandesompele J.
Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR.
Sci. Data 3:160052-160052(2016)
PubMed=27397505; DOI=10.1016/j.cell.2016.06.017; PMCID=PMC4967469
Iorio F., Knijnenburg T.A., Vis D.J., Bignell G.R., Menden M.P., Schubert M., Aben N., Goncalves E., Barthorpe S., Lightfoot H., Cokelaer T., Greninger P., van Dyk E., Chang H., de Silva H., Heyn H., Deng X.-M., Egan R.K., Liu Q.-S., Mi., Mitropoulos X., Richardson L., Wang J.-H., Zhang T.-H., Moran S., Sayols S., Soleimani M., Tamborero D., Lopez-Bigas N., Ross-Macdonald P., Esteller M., Gray N.S., Haber D.A., Stratton M.R., Benes C.H., Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.
A landscape of pharmacogenomic interactions in cancer.
Cell 166:740-754(2016)
PubMed=27807467; DOI=10.1186/s13100-016-0078-4; PMCID=PMC5087121
Zampella J.G., Rodic N., Yang W.R., Huang C.R.L., Welch J., Gnanakkan V.P., Cornish T.C., Boeke J.D., Burns K.H.
A map of mobile DNA insertions in the NCI-60 human cancer cell panel.
Mob. DNA 7:20.1-20.11(2016)
PubMed=27993170; DOI=10.1186/s12943-016-0565-8; PMCID=PMC5168717
Brodaczewska K.K., Szczylik C., Fiedorowicz M., Porta C., Czarnecka A.M.
Choosing the right cell line for renal cell cancer research.
Mol. Cancer 15:83.1-83.15(2016)
PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005; PMCID=PMC5501076
Li J., Zhao W., Akbani R., Liu W.-B., Ju Z.-L., Ling S.-Y., Vellano C.P., Roebuck P., Yu Q.-H., Eterovic A.K., Byers L.A., Davies M.A., Deng W.-L., Gopal Y.N.V., Chen G., von Euw E.M., Slamon D.J., Conklin D., Heymach J.V., Gazdar A.F., Minna J.D., Myers J.N., Lu Y.-L., Mills G.B., Liang H.
Characterization of human cancer cell lines by reverse-phase protein arrays.
Cancer Cell 31:225-239(2017)
PubMed=28489074; DOI=10.1038/ncomms15165; PMCID=PMC5436135
Sinha R., Winer A.G., Chevinsky M.S., Jakubowski C., Chen Y.-B., Dong Y.-Y., Tickoo S.K., Reuter V.E., Russo P., Coleman J.A., Sander C., Hsieh J.J.-D., Hakimi A.A.
Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection.
Nat. Commun. 8:15165.1-15165.10(2017)
PubMed=30260228; DOI=10.1021/acs.jproteome.8b00538
Knott M.E., Manzi M., Zabalegui N., Salazar M.O., Puricelli L.I., Monge M.E.
Metabolic footprinting of a clear cell renal cell carcinoma in vitro model for human kidney cancer detection.
J. Proteome Res. 17:3877-3888(2018)
PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747; PMCID=PMC6445675
Dutil J., Chen Z.-H., Monteiro A.N.A., 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; PMCID=PMC6697103
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. 3rd, Barretina J.G., Gelfand E.T., Bielski C.M., Li H.-X., 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.-L., 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)
PubMed=31267758; DOI=10.2217/fon-2019-0067
Nogueira I., Dias F., Morais M., Teixeira A.L., Medeiros R.
Everolimus resistance in clear cell renal cell carcinoma: miRNA-101 and HIF-2alpha as molecular triggers?
Future Oncol. 15:2361-2370(2019)
PubMed=31978347; DOI=10.1016/j.cell.2019.12.023; PMCID=PMC7339254
Nusinow D.P., Szpyt J., Ghandi M., Rose C.M., McDonald E.R. 3rd, Kalocsay M., Jane-Valbuena J., Gelfand E.T., Schweppe D.K., Jedrychowski M.P., Golji J., Porter D.A., Rejtar T., Wang Y.K., Kryukov G.V., Stegmeier F., Erickson B.K., Garraway L.A., Sellers W.R., Gygi S.P.
Quantitative proteomics of the Cancer Cell Line Encyclopedia.
Cell 180:387-402.e16(2020)
PubMed=35839778; DOI=10.1016/j.ccell.2022.06.010; PMCID=PMC9387775
Goncalves E., Poulos R.C., Cai Z.-X., Barthorpe S., Manda S.S., Lucas N., Beck A., Bucio-Noble D., Dausmann M., Hall C., Hecker M., Koh J., Lightfoot H., Mahboob S., Mali I., Morris J., Richardson L., Seneviratne A.J., Shepherd R., Sykes E., Thomas F., Valentini S., Williams S.G., Wu Y.-X., Xavier D., MacKenzie K.L., Hains P.G., Tully B., Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.
Pan-cancer proteomic map of 949 human cell lines.
Cancer Cell 40:835-849.e8(2022)
风险提示:丁香通仅作为第三方平台,为商家信息发布提供平台空间。用户咨询产品时请注意保护个人信息及财产安全,合理判断,谨慎选购商品,商家和用户对交易行为负责。对于医疗器械类产品,请先查证核实企业经营资质和医疗器械产品注册证情况。
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.
786-O(人肾透明细胞腺癌细胞)培养指南 786-O源自一名58岁白人男性患者的原发性透明细胞癌。细胞具有微绒毛和桥粒,能在软琼脂内生长,可生成一种PTH样多肽(分子量6kD),与乳癌和肺癌中生成的肽相似。该细胞适用于3D细胞培养,也是一种合适的转染宿主。 形态特征与生长方式 贴壁生长,但贴壁较弱,消化时间偏短,一般在1-2分钟。消化过度会导致细胞状态差、碎片多甚至死亡,消化不足则细胞成片脱落,影响后续实验。 培养要点与注意事项 培养基选用1640添加10%胎牛
100+ 种不同细胞全面验证— 翌圣生物转染试剂:高效低毒的国产优选
chuatsi 293F BHK-21 DC2.4 HGC-27 K562 MIA PaCa2 PLC SKOV3 3T3-L1 BMDM DF-1 HIK-2 LLC MRC5 PMCF STC1 786-O BmN Eahy926 HK-2 LX2 MN9D PMH SW1353 A375 C17.2 h9c2 HL-1 MACT mNSC PSC T
利用 Millicell 培养小室培养皮肤及肺类器官的实验方案
,导致分泌物扰乱气道,粘稠的黏液堵塞肺部,可能导致死亡。囊性纤维化跨膜电导调节蛋白 (CFTR)有助于维持体内包括肺表面的盐水平衡。CFTR 基因的突变或缺失可导致囊性纤维化。 16HBE14o- 细胞系 (SCC150) 是一种野生型气道上皮细胞系,可表达高水平的 CFTR mRNA 和蛋白质。亲本 CFBE41o- 细胞系 (SCC151) 源自 CF 患者的 ΔF508 CFTR 突变纯合子。已创建该系的后续克隆,并校正了 ΔF508 CFTR 突变 (SCC158-SCC161)。 相关
技术资料





