Rs4;11
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Rs4;11

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    RS4;11细胞系、RS4;11细胞株、RS4;11细胞、RS4;11细胞、RS4;11 急性淋巴细胞白血病

    Cell line name RS4;11

    Synonyms RS4-11; RS4:11; RS 4;11; RS(4;11); RS411

    Accession CVCL_0093

    Resource Identification Initiative To cite this cell line use: RS4;11 (RRID:CVCL_0093)

    Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).

    Part of: COSMIC cell lines project.

    Part of: NCI Pediatric Preclinical Testing Program (PPTP) cell line panel.

    Population: Caucasian.

    Doubling time: 35 hours (PubMed=20922763); 60 hours (PubMed=25984343); ~50 hours (DSMZ=ACC-508).

    Microsatellite instability: Instable (MSI-high) (PubMed=31068700; Sanger).

    Omics: Array-based CGH.

    Omics: Deep exome analysis.

    Omics: Deep quantitative phosphoproteome analysis.

    Omics: DNA methylation analysis.

    Omics: shRNA library screening.

    Omics: SNP array analysis.

    Omics: Transcriptome analysis by microarray.

    Omics: Transcriptome analysis by RNAseq.

    Misspelling: RS-E11; Cosmic=2131570.

    Derived from site: In situ; Bone marrow; UBERON=UBERON_0002371.

    PubMed=15843827; DOI=10.1038/sj.leu.2403749

    Andersson A., Eden P., Lindgren D., Nilsson J., Lassen C., Heldrup J., Fontes M., Borg A., Mitelman F., Johansson B., Hoglund M., Fioretos T.

    Gene expression profiling of leukemic cell lines reveals conserved molecular signatures among subtypes with specific genetic aberrations.

    Leukemia 19:1042-1050(2005)

     

    PubMed=16408098; DOI=10.1038/sj.leu.2404081

    Quentmeier H., MacLeod R.A.F., Zaborski M., Drexler H.G.

    JAK2 V617F tyrosine kinase mutation in cell lines derived from myeloproliferative disorders.

    Leukemia 20:471-476(2006)

     

    PubMed=16523483; DOI=10.1002/gcc.20317

    Horsley S.W., Mackay A., Iravani M., Fenwick K., Valgeirsson H., Dexter T.J., Ashworth A., Kearney L.

    Array CGH of fusion gene-positive leukemia-derived cell lines reveals cryptic regions of genomic gain and loss.

    Genes Chromosomes Cancer 45:554-564(2006)

     

    PubMed=20164919; DOI=10.1038/nature08768; PMCID=PMC3145113

    Bignell G.R., Greenman C.D., Davies H.R., Butler A.P., Edkins S., Andrews J.M., Buck G., Chen L., Beare D., Latimer C., Widaa S., Hinton J., Fahey C., Fu B.-Y., Swamy S., Dalgliesh G.L., Teh B.T., Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.

    Signatures of mutation and selection in the cancer genome.

    Nature 463:893-898(2010)

     

    PubMed=20922763; DOI=10.1002/pbc.22801; PMCID=PMC3005554

    Kang M.H., Smith M.A., Morton C.L., Keshelava N., Houghton P.J., Reynolds C.P.

    National Cancer Institute pediatric preclinical testing program: model description for in vitro cytotoxicity testing.

    Pediatr. Blood Cancer 56:239-249(2011)

     

    PubMed=21552520; DOI=10.1371/journal.pone.0019169; PMCID=PMC3084268

    Gu T.-L., Nardone J., Wang Y., Loriaux M., Villen J., Beausoleil S.A., Tucker M., Kornhauser J.M., Ren J.-M., MacNeill J., Gygi S.P., Druker B.J., Heinrich M.C., Rush J., Polakiewicz R.D.

    Survey of activated FLT3 signaling in leukemia.

    PLoS ONE 6:E19169-E19169(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=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)

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    *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.

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