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AJE 润色服务限时 8 折起,权威机构信任 15+ 年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
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T25
SNU423/SNU423细胞系/SNU423细胞株/SNU423肝癌细胞
Cell line name SNU-423
Synonyms SNU423; NCI-SNU-423
Accession CVCL_0366
Resource Identification Initiative To cite this cell line use: SNU-423 (RRID:CVCL_0366)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: COSMIC cell lines project.
Part of: Liver Cancer Model Repository (LIMORE).
Part of: MD Anderson Cell Lines Project.
Part of: Seoul National University (SNU) cell line collection.
Population: Korean.
Doubling time: 72 hours (PubMed=7543080); 36.62 hours (PubMed=31378681).
Microsatellite instability: Stable (MSS) (Sanger).
Transformant: NCBI_TaxID; 10407; Hepatitis B virus (HBV).
Omics: Deep exome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Genome sequenced.
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.
Derived from site: In situ; Liver; UBERON=UBERON_0002107.
Sequence variations
Mutation; HGNC; 11730; TERT; Simple; c.1-124C>T (c.228C>T) (C228T); Zygosity=Unspecified; Note=In promoter (PubMed=31068700; PubMed=31378681).
Mutation; HGNC; 11998; TP53; Simple; c.376-2A>G; ClinVar=VCV000186236; Zygosity=Unspecified; Note=Splice acceptor mutation (PubMed=8824565; PubMed=31378681; DepMap=ACH-000493).
HLA typing Source: PubMed=26589293
Class I
HLA-A A*11:01,33:03
HLA-B B*15:02,58:01
HLA-C C*03:02,08:01
Genome ancestry Source: PubMed=30894373
Origin % genome
African 0
Native American 0.82
East Asian, North 62.68
East Asian, South 36.24
South Asian 0
European, North 0
European, South 0.26
PubMed=23505090; DOI=10.1002/hep.26402
Wang K., Lim H.Y., Shi S., Lee J., Deng S.-B., Xie T., Zhu Z., Wang Y.-L., Pocalyko D., Yang W.J., Rejto P.A., Mao M., Park C.-K., Xu J.-C.
Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma.
Hepatology 58:706-717(2013)
PubMed=23887712; DOI=10.1038/ncomms3218; PMCID=PMC3731665
Nault J.-C., Mallet M., Pilati C., Calderaro J., Bioulac-Sage P., Laurent C., Laurent A., Cherqui D., Balabaud C., Zucman-Rossi J.
High frequency of telomerase reverse-transcriptase promoter somatic mutations in hepatocellular carcinoma and preneoplastic lesions.
Nat. Commun. 4:2218.1-2218.7(2013)
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=25574106; DOI=10.3748/wjg.v21.i1.311; PMCID=PMC4284350
Cevik D., Yildiz G., Ozturk M.
Common telomerase reverse transcriptase promoter mutations in hepatocellular carcinomas from different geographical locations.
World J. Gastroenterol. 21:311-317(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=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=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., MirT., 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=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=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=31063779; DOI=10.1053/j.gastro.2019.05.001
Caruso S., Calatayud A.-L., Pilet J., La Bella T., Rekik S., Imbeaud S., Letouze E., Meunier L., Bayard Q., Rohr-Udilova N., Peneau C., Grasl-Kraupp B., de Koning L., Ouine B., Bioulac-Sage P., Couchy G., Calderaro J., Nault J.-C., Zucman-Rossi J., Rebouissou S.
Analysis of liver cancer cell lines identifies agents with likely efficacy against hepatocellular carcinoma and markers of response.
Gastroenterology 157:760-776(2019)
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文献和实验*发表【中文论文】请标注:由上海酶研生物科技有限公司提供;
*发表【英文论文】请标注:From Shanghai EK-Bioscience Biotechnology Co., Ltd.
分化的关键因子。为了确定 miR-423-5P 的下游靶点,作者通过 miRTarBase、miRWalk 和 TargetScan 预测得到了 63 个高置信度候选基因,它们主要参与细胞运输和功能调节等生物学过程。其中 4 个基因(DAAM2、PRKACA、DVL3 和 PLCB1)富含在 Wnt 信号通路中。双荧光素酶报告基因实验和功能实验进一步证实了 miR-423-5P 和 PLCB1 特异性结合,miR-423-5p 抑制 PLCB1 是促进 PDLCs 成骨分化的关键机制。随后作者使用细胞
Science:减肥原来这么简单!只要控制在白天进食,连脂肪细胞都在帮你减肥……
相比,白天进食的小鼠显示出体重的增加,以及呼吸交换比节律的改变。以体重为协变量的能量消耗分析结果显示,只在夜晚进食的小鼠的总能量消耗与体重的斜率高于只在白天进食的小鼠。这些结果表明,在非活动期进食会导致体重增加,有部分原因是能量消耗的减少。 图片来源:Science Zfp423 基因敲除增加脂肪产热可改善代谢健康 为了确定增加脂肪细胞产热是否可以饮食带来的阻止体重增加和代谢健康问题,他们使用了 Zfp423 基因敲除小鼠,该基因的缺失会使得脂肪的产热作用增强。结果发现,脂肪细胞特异
人胃癌细胞(未分化) SNL-105 KATO III 人胃癌细胞 SNL-106 NCI-N87 人胃癌细胞 SNL-107 SNU-1 人胃癌细胞 SNL-173 MKN45 人低分化胃癌细胞 SNL-176 MKN74 人胃癌细胞 SNL-304 GES-1 人胃粘膜细胞 SNL-325 Hs-746T 人胃癌细胞 SNL-365 MFC 小鼠胃癌细胞 SNL









