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T25
PANC 05.04 /PANC 05.04 细胞系/PANC 05.04 细胞株/PANC 05.04 人胰腺癌细胞
Cell line name Panc 05.04
Synonyms Panc-05.04; Panc_05_04; Panc05.04; Panc 5.04; Panc5.04; PANC0504; Panc0504; Pa18C; PL-18; PL18
Accession CVCL_1637
Secondary accession CVCL_X507
Resource Identification Initiative To cite this cell line use: Panc 05.04 (RRID:CVCL_1637)
Comments Problematic cell line: Partially contaminated. Some stocks of this cell line such as the one used by Sanger cell line project were contaminated with a OCUG-1 derivative as shown by STR profile and SNP fingerprinting analysis (DepMap).
Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: COSMIC cell lines project.
Part of: MD Anderson Cell Lines Project.
Part of: TCGA-110-CL cell line panel.
From: Johns Hopkins University School of Medicine; Baltimore; USA.
Registration: International Cell Line Authentication Committee, Register of Misidentified Cell Lines; ICLAC-00614.
Population: Caucasian.
Doubling time: 46.0 hours (PubMed=9612602).
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Metabolome analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Derived from site: In situ; Pancreas; UBERON=UBERON_0001264.
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=22753594; DOI=10.1158/1078-0432.CCR-12-0827; PMCID=PMC3513499
Cui Y.-F., Brosnan-Cashman J.A., Blackford A.L., Sur S., Hruban R.H., Kinzler K.W., Vogelstein B., Maitra A., Diaz L.A. Jr., Iacobuzio-Donahue C.A., Eshleman J.R.
Genetically defined subsets of human pancreatic cancer show unique in vitro chemosensitivity.
Clin. Cancer Res. 18:6519-6530(2012)
PubMed=25167228; DOI=10.1038/bjc.2014.475; PMCID=PMC4453732
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=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=26216984; DOI=10.1073/pnas.1501605112; PMCID=PMC4538616
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; 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)
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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.
流式细胞术上样盲点
3.82 3.47 3.25 3.09 2.97 2.87 2.80 2.73 2.64 2.53 2.42 2.31 2.18 2.04 21 22 4.38 3.73 3.44 3.21 3.05 2.93 2.84 2.76 2.70 2.60 2.50 2.39 2.27 2.14 2.00 22 23 4.35 3.75 3.41 3.18 3.02 2.90 2.81 2.73 2.67 2.57 2.47 2.36 2.24 2.11 1.97 23 24
. Fig. 5.1. Inhibition of GSK-3 activity. A Depletion of both GSK-3α and GSK-3β is required for a decrease of β-catenin phosphorylationat Ser33/37. Panc04.03 cells were transfected with shControl, shGSK-3α, and shGSK-3β vectors, as describedin
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