K562人慢性骨髓性白血病细胞(STR鉴定正确)

价 格:¥1800

期 货:现货(冻存管发2支)

保藏中心:BTCC

资源编号:BTCC-1086

产地:中国

套 餐:

T25/复苏细胞 无血清冻存液 专用完全培养基500ml 南美特级胎牛血清500ml

详细资料说明书下载质检报告(COA)

Cell line nameK-562
SynonymsK562; K.562; K 562; KO; GM05372; GM05372E
AccessionBTCC-1086
Resource Identification InitiativeTo cite this cell line use: K-562 (BTCC-1086)
CommentsPart 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 1.
Part of: LL-100 blood cancer cell line panel.
Part of: MD Anderson Cell Lines Project.
Part of: NCI-60 cancer cell line panel.
Population: Caucasian.
Doubling time: 47 hours (PubMed=25984343); 18 hours (PubMed=8142256); ~30-40 hours (DSMZ=ACC-10); 19.6 hours (NCI-DTP=K-562).
Microsatellite instability: Stable (MSS) (PubMed=10739008; PubMed=11226526; PubMed=23671654; Sanger).
Omics: Array-based CGH.
Omics: CTCF ChIP-seq epigenome analysis.
Omics: H2A.Z ChIP-seq epigenome analysis.
Omics: H3K27ac ChIP-seq epigenome analysis.
Omics: H3K27me3 ChIP-seq epigenome analysis.
Omics: H3K36me3 ChIP-seq epigenome analysis.
Omics: H3K4me1 ChIP-seq epigenome analysis.
Omics: H3K4me2 ChIP-seq epigenome analysis.
Omics: H3K4me3 ChIP-seq epigenome analysis.
Omics: H3K79me2 ChIP-seq epigenome analysis.
Omics: H3K9ac ChIP-seq epigenome analysis.
Omics: H3K9me1 ChIP-seq epigenome analysis.
Omics: H3K9me3 ChIP-seq epigenome analysis.
Omics: H4K20me1 ChIP-seq epigenome analysis.
Omics: Pol2 ChIP-seq epigenome analysis.
Omics: CNV analysis.
Omics: Deep antibody staining analysis.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative phosphoproteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Fluorescence phenotype profiling.
Omics: Genome sequenced.
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.
Omics: Virome analysis using proteomics.
Misspelling: K-652; Cosmic=1523829.
Misspelling: K652; Cosmic=1516632; Cosmic=2024372.
Derived from site: In situ; Pleural effusion; UBERON=UBERON_0000175.
Sequence variations
HLA typingSource: PubMed=15748285
Class I
HLA-AA*11:01:01,31:01:02
HLA-BB*18,40
HLA-CC*03
Class II
HLA-DPDPB1*04:01,04:02
HLA-DQDQB1*02:01,03:02
HLA-DRDRB1*03,04

Source: PubMed=25960936
Class I
HLA-AA*11
HLA-BB*40,35/39
HLA-CC*03,05

Source: DSMZCellDive=ACC-10
Class I
HLA-AA*31:01:02,31:01:02
HLA-BB*40:01:01,50:01:01
HLA-CC*03:04:01,05:01:01
Genome ancestrySource: PubMed=30894373

Origin% genome


African5.19
Native American0
East Asian, North8.4
East Asian, South0
South Asian0
European, North43.44
European, South42.97
DiseaseBlast phase chronic myelogenous leukemia, BCR-ABL1 positive (NCIt: C9110)
Chronic myeloid leukemia (ORDO: Orphanet_521)
Species of originHomo sapiens (Human) (NCBI Taxonomy: 9606)
HierarchyChildren:



CVCL_B0ZA (Abcam K-562 ADAM17 KO)CVCL_B0ZB (Abcam K-562 CSF3 KO)CVCL_B7VR (Abcam K-562 EP300 KO)
CVCL_J651 (DD)CVCL_6217 (DUTKO-1)CVCL_1G55 (EGFP-K562)
CVCL_WU73 (HL-CZ)CVCL_C0UP (HP-CD36)CVCL_C0UQ (HP-mock)
CVCL_B7RN (K-3501)CVCL_B7RP (K-3502)CVCL_B7RQ (K-3503)
CVCL_B7RR (K-3504)CVCL_B7RS (K-3506)CVCL_B7RT (K-3508)
CVCL_RY26 (K-562 CRISPRa)CVCL_S029 (K-562 SimpleCell O-GalNAc)CVCL_LH52 (K-562-B1-V-2 p17)
CVCL_LH51 (K-562-C-1 p365)CVCL_JM00 (K-562-GFP)CVCL_UR39 (K-562-luc2)
CVCL_LH50 (K-562-RH)CVCL_5950 (K-562R)CVCL_C6JT (K/VP.5)
CVCL_2967 (K562 AZQR)CVCL_B502 (K562 BZQR)CVCL_2968 (K562 cl.6)
CVCL_GZ75 (K562 eGFP-ADNP)CVCL_AW13 (K562 eGFP-ATF1)CVCL_GZ76 (K562 eGFP-ATF3)
CVCL_AW14 (K562 eGFP-BACH1)CVCL_AW15 (K562 eGFP-CEBPB)CVCL_GZ77 (K562 eGFP-CEBPG)
CVCL_AW16 (K562 eGFP-CREB3)CVCL_GZ78 (K562 eGFP-CUX1)CVCL_AW17 (K562 eGFP-DDX20)
CVCL_AW18 (K562 eGFP-DIDO1)CVCL_AW19 (K562 eGFP-E2F1)CVCL_GZ79 (K562 eGFP-E2F4)
CVCL_GZ80 (K562 eGFP-E2F5)CVCL_GZ81 (K562 eGFP-ELF1)CVCL_GZ82 (K562 eGFP-ELK1)
CVCL_GZ83 (K562 eGFP-ETS2)CVCL_AW20 (K562 eGFP-ETV1)CVCL_AW21 (K562 eGFP-FOS)
CVCL_GZ84 (K562 eGFP-FOSL1)CVCL_GZ85 (K562 eGFP-FOXJ2)CVCL_GZ86 (K562 eGFP-GABPA)
CVCL_AW22 (K562 eGFP-GATA2)CVCL_GZ87 (K562 eGFP-GTF2A2)CVCL_GZ88 (K562 eGFP-GTF2E2)
CVCL_AW23 (K562 eGFP-HDAC8)CVCL_AW24 (K562 eGFP-HINFP)CVCL_AW25 (K562 eGFP-HMGB1)
CVCL_AW26 (K562 eGFP-ID3)CVCL_AW27 (K562 eGFP-ILK)CVCL_AW28 (K562 eGFP-IRF1)
CVCL_AW29 (K562 eGFP-IRF9)CVCL_AW30 (K562 eGFP-JUNB)CVCL_AW31 (K562 eGFP-JUND)
CVCL_AW32 (K562 eGFP-KLF1)CVCL_AW33 (K562 eGFP-KLF13)CVCL_AW34 (K562 eGFP-MAFG)
CVCL_GZ89 (K562 eGFP-MEF2D)CVCL_GZ90 (K562 eGFP-NFE2)CVCL_AW35 (K562 eGFP-NFE2L1)
CVCL_AW36 (K562 eGFP-NR2C1)CVCL_GZ91 (K562 eGFP-NR2C2)CVCL_AW37 (K562 eGFP-NR4A1)
CVCL_GZ92 (K562 eGFP-PBX2)CVCL_GZ93 (K562 eGFP-POLR2H)CVCL_AW38 (K562 eGFP-PTRF)
CVCL_AW39 (K562 eGFP-PTTG1)CVCL_AW40 (K562 eGFP-PYGO2)CVCL_AW41 (K562 eGFP-RELA)
CVCL_AW42 (K562 eGFP-SMARCA1)CVCL_AW43 (K562 eGFP-SMARCA2)CVCL_AW44 (K562 eGFP-TAF7)
CVCL_AW45 (K562 eGFP-TEAD2)CVCL_GZ94 (K562 eGFP-TFDP1)CVCL_AW46 (K562 eGFP-TSC22D4)
CVCL_GZ95 (K562 eGFP-USF2)CVCL_GZ96 (K562 eGFP-ZBTB11)CVCL_GZ97 (K562 eGFP-ZFX)
CVCL_GZ98 (K562 eGFP-ZKSCAN8)CVCL_GZ99 (K562 eGFP-ZNF148)CVCL_HA00 (K562 eGFP-ZNF175)
CVCL_HA01 (K562 eGFP-ZNF197)CVCL_AW47 (K562 eGFP-ZNF24)CVCL_XW96 (K562 eGFP-ZNF354B)
CVCL_HA02 (K562 eGFP-ZNF395)CVCL_XW97 (K562 eGFP-ZNF507)CVCL_HA03 (K562 eGFP-ZNF512)
CVCL_HA04 (K562 eGFP-ZNF584)CVCL_HA05 (K562 eGFP-ZNF589)CVCL_HA06 (K562 eGFP-ZNF639)
CVCL_HA07 (K562 eGFP-ZNF644)CVCL_HA08 (K562 eGFP-ZNF740)CVCL_HA09 (K562 eGFP-ZNF766)
CVCL_HA10 (K562 eGFP-ZNF83)CVCL_AW48 (K562 eGFP-ZSCAN9)CVCL_IM25 (K562 HHT)
CVCL_ZL53 (K562 NGLY1 KO c15)CVCL_ZL54 (K562 NGLY1 KO c20)CVCL_9120 (K562(A))
CVCL_9119 (K562(S))CVCL_Z732 (K562-ARA-C)CVCL_JX91 (K562-AVB3)
CVCL_4V54 (K562-BMS-R)CVCL_Z733 (K562-CdA)CVCL_4V59 (K562-DAS[r])
CVCL_Z734 (K562-FLUD)CVCL_Z735 (K562-GEM)CVCL_9121 (K562-H)
CVCL_4V60 (K562-IMA[r])CVCL_4V61 (K562-IMA[r]+DAS[r])CVCL_4V62 (K562-IMA[r]+PON[r])
CVCL_D201 (K562-IMR)CVCL_9122 (K562-L)CVCL_J257 (K562-Luc)
CVCL_5J21 (K562-luc2)CVCL_D162 (K562-Lucena 1)CVCL_C7IL (K562-mb15)
CVCL_4V63 (K562-NIL[r])CVCL_4V64 (K562-PON[r])CVCL_UC14 (K562-r)
CVCL_B0FH (K562-R)CVCL_5J01 (K562-Red-FLuc)CVCL_DP55 (K562-rn)
CVCL_UC15 (K562-s)CVCL_XE50 (K562-Wnt5a)CVCL_0368 (K562/A02)
CVCL_B7RM (K562/A*0201)CVCL_Y198 (K562/AC)CVCL_3827 (K562/Adr)
CVCL_4V20 (K562/ara-C)CVCL_4V84 (K562/AS-3)CVCL_4V85 (K562/AS2)
CVCL_AZ73 (K562/CP)CVCL_D205 (K562/D1-9)CVCL_WI19 (K562/DAC)
CVCL_4T87 (K562/DNR)CVCL_Y168 (K562/etop20)CVCL_Y169 (K562/etop80)
CVCL_C0HT (K562/G)CVCL_4V47 (K562/G01)CVCL_A8HT (K562/GM-CSF)
CVCL_A9BR (K562/HHT)CVCL_5144 (K562/MTX-2)CVCL_KS44 (K562/NFAT-luc)
CVCL_4V51 (K562/NIL-50)CVCL_D573 (K562/R7)CVCL_5145 (K562/Vin)
CVCL_S663 (K562/ZD1694.C)CVCL_0369 (K562YO)CVCL_9V30 (KDI/20)
CVCL_3000 (KO51)CVCL_C3M8 (MVX-1)CVCL_IQ44 (NM-D4)
CVCL_IQ45 (NM-F9)CVCL_L434 (P2UR/K-562)CVCL_1Q81 (PC-MDS)
CVCL_2697 (PUTKO)CVCL_8463 (RM10)CVCL_8423 (RS-1 [Human leukemia])
CVCL_8440 (SAM-1)CVCL_2200 (SPI-801)CVCL_2201 (SPI-802)
CVCL_8427 (T-33)CVCL_L806 (TI-1 [Human leukemia])
Sex of cellFemale
Age at sampling53Y
CategoryCancer cell line
STR profileSource(s): AddexBio; ATCC; CCRID; CLS; Cosmic-CLP; COG; DSMZ; Genomics_Center_BCF_Technion; JCRB; KCLB; PubMed=11416159; PubMed=14642717; PubMed=15637111; PubMed=19372543; PubMed=25877200; RCB; TKG

Markers:
AmelogeninX
CSF1PO9,10
D1S165615,16
D2S44110,14
D2S133817
D3S135814,16 (DSMZ)
16 (CCRID; CLS; Genomics_Center_BCF_Technion; PubMed=14642717; PubMed=19372543; PubMed=25877200)
D5S81811,12 (AddexBio; ATCC; CCRID; CLS; Cosmic-CLP; COG; DSMZ; ECACC; Genomics_Center_BCF_Technion; JCRB; KCLB; PubMed=14642717; PubMed=15637111; PubMed=19372543; PubMed=25877200; TKG)
11,12,13 (RCB)
D7S8209,11
D8S117912
D10S124812
D12S39123
D13S3178
D16S53911,12 (AddexBio; ATCC; CCRID; CLS; Cosmic-CLP; COG; ECACC; Genomics_Center_BCF_Technion; JCRB; PubMed=14642717; PubMed=15637111; PubMed=19372543; PubMed=25877200; TKG)
11,12,13 (DSMZ; RCB)
D18S5115 (CLS)
15,16 (CCRID; Genomics_Center_BCF_Technion; PubMed=14642717; PubMed=15637111; PubMed=19372543)
16 (DSMZ)
D19S43314,14.2 (CCRID; CLS; Genomics_Center_BCF_Technion; PubMed=14642717; PubMed=19372543)
14,15 (DSMZ)
D21S1129,30 (CLS; DSMZ; PubMed=15637111)
29,30,31 (Genomics_Center_BCF_Technion; PubMed=14642717; PubMed=19372543; PubMed=25877200)
29,31 (CCRID)
D22S104516
DXS10123,24
FGA21,24
Penta D9,13
Penta E5,14
SE3326.2,28.2
TH019.3
TPOX8,9
vWA16

Run an STR similarity search on this cell line
Web pageshttps://en.wikipedia.org/wiki/K562_cells
https://dtp.cancer.gov/discovery_development/nci-60/cell_list.htm
https://strap.nci.nih.gov/celline_detail.php?sample_id=30
https://www.proteinatlas.org/learn/cellines
http://141.61.102.20/mxdb/project/show/9191407937500
http://genome.ucsc.edu/ENCODE/protocols/cell/human/K562_protocol.pdf
https://www.thermofisher.com/ch/en/home/technical-resources/cell-lines/k/cell-lines-detail-69.html
https://tcpaportal.org/mclp/

PubMed=27807467; DOI=10.1186/s13100-016-0078-4
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=28196595; DOI=10.1016/j.ccell.2017.01.005
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=29509191; DOI=10.1038/sdata.2018.30
Mchaourab Z.F., Perreault A.A., Venters B.J.
ChIP-seq and ChIP-exo profiling of Pol II, H2A.Z, and H3K4me3 in human K562 cells.
Sci. Data 5:180030-180030(2018)

PubMed=30285677; DOI=10.1186/s12885-018-4840-5
Tan K.-T., Ding L.-W., Sun Q.-Y., Lao Z.-T., Chien W., Ren X., Xiao J.-F., Loh X.-Y., Xu L., Lill M., Mayakonda A., Lin D.-C., Yang H., Koeffler H.P.
Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines.
BMC Cancer 18:940.1-940.13(2018)

PubMed=30629668; DOI=10.1371/journal.pone.0210404
Uphoff C.C., Pommerenke C., Denkmann S.A., Drexler H.G.
Screening human cell lines for viral infections applying RNA-Seq data analysis.
PLoS ONE 14:E0210404-E0210404(2019)

PubMed=30737237; DOI=10.1101/gr.234948.118
Zhou B., Ho S.S., Greer S.U., Zhu X., Bell J.M., Arthur J.G., Spies N., Zhang X., Byeon S., Pattni R., Ben-Efraim N., Haney M.S., Haraksingh R.R., Song G., Ji H.P., Perrin D., Wong W.H., Abyzov A., Urban A.E.
Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562.
Genome Res. 29:472-484(2019)

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.
Cancer Res. 79:1263-1273(2019)

PubMed=31068700; DOI=10.1038/s41586-019-1186-3
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. III, Barretina J.G., Gelfand E.T., Bielski C.M., Li H., 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., 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=31160637; DOI=10.1038/s41598-019-44491-x
Quentmeier H., Pommerenke C., Dirks W.G., Eberth S., Koeppel M., MacLeod R.A.F., Nagel S., Steube K., Uphoff C.C., Drexler H.G.
The LL-100 panel: 100 cell lines for blood cancer studies.
Sci. Rep. 9:8218-8218(2019)

PubMed=31978347; DOI=10.1016/j.cell.2019.12.023
Nusinow D.P., Szpyt J., Ghandi M., Rose C.M., McDonald E.R. III, 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=32449352; DOI=10.1021/acs.jproteome.0c00254
Cao X.-W., Khitun A., Na Z.-K., Dumitrescu D.G., Kubica M., Olatunji E., Slavoff S.A.
Comparative proteomic profiling of unannotated microproteins and alternative proteins in human cell lines.
J. Proteome Res. 19:3418-3426(2020)

PubMed=35819189; DOI=10.1093/nar/gkac586
Xie H.-L., Li W., Hu Y.-Q., Yang C., Lu J.-S., Guo Y.-Q., Wen L., Tang F.-C.
De novo assembly of human genome at single-cell levels.
Nucleic Acids Res. 50:7479-7492(2022)

PubMed=35839778; DOI=10.1016/j.ccell.2022.06.010
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)

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