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SU.86.86人胰腺导管癌细胞 (STR鉴定)

英文名:SU.86.86
货号:ZQ1042
价格:¥2000.00
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SU.86.86人胰腺导管癌细胞 (STR鉴定)

¥2000.00
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SU.86.86人胰腺导管癌细胞专用培养基

¥350.00 ¥480.00

配套完培,省时省力,单买细胞无优惠

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细胞套餐惊爆价

¥2350 ¥2980.00
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  • 产品说明
  • 产品规格
  • 参考文献
  • STR鉴定

产品名称

SU.86.86人胰腺导管癌细胞

货号

ZQ1042

产品介绍

SU.86.86是一株上皮样细胞系,从一位白人,57岁,女性导管癌患者的胰腺中分离出来。该细胞系由WD Holder发起,SU.86.86细胞系广泛应用于胰腺癌及相关癌症的研究,为肿瘤生物学提供了重要的研究工具。是研究胰腺导管癌的重要模型,有助于了解该疾病的发病机制、药物反应性以及开发新的治疗方法。

种属

性别/年龄

/57岁

组织

胰腺

疾病

导管癌

细胞类型

肿瘤细胞

形态学

上皮的

生长方式

贴壁

倍增时间

77 hours (PubMed=3264833); 48 hours (PubMed=25984343)

培养基和添加剂

RPMI-1640(品牌:中乔新舟 货号:ZQ-200+10%胎牛血清(中乔新舟 货号:ZQ500-A+1%P/S(中乔新舟  货号:CSP006

推荐完全培养基货号

ZM1042

培养条件

95%空气,5%二氧化碳;37℃

STR位点信息

Amelogenin: X

CSF1PO 10,11

D2S1338 17,23

D3S1358 14,19

D5S818 7,13

D7S820 8,11

D8S1179 12,15

D13S317 11,12

D16S539 11,13

D18S51 9

D19S433 14,15

D21S11 30

FGA 21,22

Penta D 9,13

Penta E 12

TH01 9.3

TPOX 8

vWA 17

生物安全等级

BSL-1

保藏机构

ATCC; CRL-1837

供应限制

仅供科研使用


货号

ZQ1042

发货规格

活细胞:T25培养瓶*1瓶或者1ml 冻存管*1支(细胞量约为5 x 10^5 cells/vial)二选一

发货形式

活细胞:常温运输;冻存管:干冰运输

储存温度

活细胞:培养箱;冻存管:液氮罐

产地

中国

供应限制

仅供科研使用

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Microarray analyses reveal strong influence of DNA copy number alterations on the transcriptional patterns in pancreatic cancer: implications for the interpretation of genomic amplifications.
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PubMed=16912165; DOI=10.1158/0008-5472.CAN-06-0721
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PubMed=18380791; DOI=10.1111/j.1349-7006.2008.00779.x
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Identification of SMURF1 as a possible target for 7q21.3-22.1 amplification detected in a pancreatic cancer cell line by in-house array-based comparative genomic hybridization.
Cancer Sci. 99:986-994(2008)


PubMed=20418756; DOI=10.1097/MPA.0b013e3181c15963
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Phenotype and genotype of pancreatic cancer cell lines.
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PubMed=22460905; DOI=10.1038/nature11003
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
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=25167228; DOI=10.1038/bjc.2014.475
Hamidi H., Lu M., Chau K., Anderson L., Fejzo M.S., Ginther C., Linnartz R., Zubel A., Slamon D.J., Finn R.S.
KRAS mutational subtype and copy number predict in vitro response of human pancreatic cancer cell lines to MEK inhibition.
Br. J. Cancer 111:1788-1801(2014)


PubMed=25984343; DOI=10.1038/sdata.2014.35
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.
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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=26216984; DOI=10.1073/pnas.1501605112
Daemen A., Peterson D., Sahu N., McCord R., Du X.-N., Liu B., Kowanetz K., Hong R., Moffat J., Gao M., Boudreau A., Mroue R., Corson L., O'Brien T., Qing J., Sampath D., Merchant M., Yauch R.L., Manning G., Settleman J., Hatzivassiliou G., Evangelista M.
Metabolite profiling stratifies pancreatic ductal adenocarcinomas into subtypes with distinct sensitivities to metabolic inhibitors.
Proc. Natl. Acad. Sci. U.S.A. 112:E4410-E4417(2015)


PubMed=26589293; DOI=10.1186/s13073-015-0240-5
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Genome Med. 7:118.1-118.7(2015)


PubMed=27259358; DOI=10.1074/mcp.M116.058313
Humphrey E.S., Su S.-P., Nagrial A.M., Hochgrafe F., Pajic M., Lehrbach G.M., Parton R.G., Yap A.S., Horvath L.G., Chang D.K., Biankin A.V., Wu J.-M., Daly R.J.
Resolution of novel pancreatic ductal adenocarcinoma subtypes by global phosphotyrosine profiling.
Mol. Cell. Proteomics 15:2671-2685(2016)


PubMed=27397505; DOI=10.1016/j.cell.2016.06.017
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., Mironenko T., 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.
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Cell 166:740-754(2016)


PubMed=29444439; DOI=10.1016/j.celrep.2018.01.051
Yuan T.L., Amzallag A., Bagni R., Yi M., Afghani S., Burgan W., Fer N., Strathern L.A., Powell K., Smith B., Waters A.M., Drubin D.A., Thomson T., Liao R., Greninger P., Stein G.T., Murchie E., Cortez E., Egan R.K., Procter L., Bess M., Cheng K.T., Lee C.-S., Lee L.C., Fellmann C., Stephens R., Luo J., Lowe S.W., Benes C.H., McCormick F.
Differential effector engagement by oncogenic KRAS.
Cell Rep. 22:1889-1902(2018)


PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747
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.
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PubMed=30971826; DOI=10.1038/s41586-019-1103-9
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PubMed=31068700; DOI=10.1038/s41586-019-1186-3
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Next-generation characterization of the Cancer Cell Line Encyclopedia.
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PubMed=31978347; DOI=10.1016/j.cell.2019.12.023
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PubMed=35839778; DOI=10.1016/j.ccell.2022.06.010
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Pan-cancer proteomic map of 949 human cell lines.
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上海中乔新舟生物科技有限公司
Shanghai Zhong Qiao Xin Zhou Biotechnology Co.,Ltd.
      上海中乔新舟生物科技有限公司(官网:www.zqxzbio.com)成立于2011年,历经十多年发展,...
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