MDA-MB-231人乳腺癌细胞

价 格:¥1800

期 货:现货(冻存管发2支)

保藏中心:BTCC

资源编号:BTCC-1100

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 nameMDA-MB-231
SynonymsMDA_MB_231; MDA-MB 231; MDA.MB.231; MDA MB 231; MDA MB231; MDA Mb231; MDA-MB231; MDAMB-231; MDAMB231; MDA-231; MDA-231P; MDA231; MDA231-BRE; MB231; MD Anderson-Metastatic Breast-231
AccessionBTCC-1100
Resource Identification InitiativeTo cite this cell line use: MDA-MB-231 (BTCC-1100)
CommentsGroup: Triple negative breast cancer (TNBC) cell line.
Part 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 3.
Part of: GrayJW breast cancer cell line panel.
Part of: ICBP43 breast cancer cell line panel.
Part of: JFCR39 cancer cell line panel.
Part of: JFCR45 cancer cell line panel.
Part of: KuDOS 95 cell line panel.
Part of: MD Anderson Cell Lines Project.
Part of: NCI-60 cancer cell line panel.
Registration: International Depositary Authority, American Type Culture Collection (ATCC); CRL-12532.
Registration: Chiron Master Culture Collection; CMCC 10583 (CMCC #10583).
Population: Caucasian.
Doubling time: 1.3 days (PubMed=9671407); 26.7 hours (PubMed=9815641); 24.7 hours (PubMed=24389870); 36.2 hours (PubMed=34238275); 38 hours (ATCC=HTB-26); ~25-30 hours (DSMZ=ACC-732); 41.9 hours (NCI-DTP=MDA-MB-231); ~38 hours (PBCF); 31.43 hours (GrayJW panel).
Microsatellite instability: Stable (MSS) (PubMed=12661003; Sanger).
Omics: Array-based CGH.
Omics: Chromatin accessibility by ATAC-seq.
Omics: Cell surface proteome.
Omics: CNV analysis.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Exosome proteome analysis.
Omics: Fluorescence phenotype profiling.
Omics: Glycoproteome analysis by proteomics.
Omics: H2BK120ub ChIP-seq epigenome analysis.
Omics: H3K4me3 ChIP-seq epigenome analysis.
Omics: H3K23ac 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: H3K4me3 ChIP-seq epigenome analysis.
Omics: H3K79me2 ChIP-seq epigenome analysis.
Omics: H3K9ac ChIP-seq epigenome analysis.
Omics: H3K9me3 ChIP-seq epigenome analysis.
Omics: H4K8ac ChIP-seq epigenome analysis.
Omics: lncRNA expression profiling.
Omics: Metabolome analysis.
Omics: miRNA expression profiling.
Omics: N-glycan profiling.
Omics: Protein expression by reverse-phase protein arrays.
Omics: Secretome proteome analysis.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Anecdotal: Used in a study utilising the fruit fly's olfactory system to detect cancer cells (PubMed=24389870).
Misspelling: MDA-MB-321; Note=Occasionally.
Misspelling: MDA-MD-231; Cosmic=1071900; Cosmic=1176602.
Misspelling: MDA-321; GEO=GSM459713.
Misspelling: MDA-MG-231; PubMed=6582512.
Misspelling: MD-MB-231; PRIDE=PXD010634.
Misspelling: MD-MBA-231; Note=Occasionally.
Derived from site: Metastatic; Pleural effusion; UBERON=UBERON_0000175.
Sequence variations
HLA typingSource: PubMed=77569
Class I
HLA-AA*02/28
HLA-BB*07,08
HLA-CC*w02,w06

Source: PubMed=15748285
Class I
HLA-AA*02:01,02:17
HLA-BB*40:02,41:01
HLA-CC*02:02:02,17
Class II
HLA-DPDPB1*02:01:02,17:01
HLA-DQDQB1*02:02,03:01:01
HLA-DRDRB1*07:01,13:05

Source: PubMed=25960936
Class I
HLA-AA*02:17,02:01
HLA-BB*40:02,41:01
HLA-CC*02:02,17:01
Class II
HLA-DQDQA1*02:01,02:01

DQB1*03:04,03:04
HLA-DRDRB1*07:01,13:05

Source: PubMed=26589293
Class I
HLA-AA*02:17,02:17
HLA-BB*40:02,41:01
HLA-CC*02:02,17:01
Class II
HLA-DQDQA1*01:02,01:02

DQB1*02:02,03:04
Genome ancestrySource: PubMed=30894373

Origin% genome


African1.95
Native American0
East Asian, North2.44
East Asian, South0
South Asian7.42
European, North28.16
European, South60.03
DiseaseBreast adenocarcinoma (NCIt: C5214)
Species of originHomo sapiens (Human) (NCBI Taxonomy: 9606)
HierarchyChildren:



CVCL_EQ20 (2LMP)CVCL_A9BP (Ecad-231-7)CVCL_A9BQ (Ecad-231-9)
CVCL_YJ86 (LINTERNA MDA-MB-231)CVCL_DP48 (MDA-BoM-1833)CVCL_4Y38 (MDA-MB-231 25PACR)
CVCL_4Y39 (MDA-MB-231 50PACR)CVCL_A9AZ (MDA-MB-231 CAPN2 KO)CVCL_IN16 (MDA-MB-231 CMV)
CVCL_IN17 (MDA-MB-231 ERalpha)CVCL_IN15 (MDA-MB-231 ERalpha203/4/11)CVCL_IN18 (MDA-MB-231 ERbeta)
CVCL_IN19 (MDA-MB-231 ERbetaDBD)CVCL_A5ER (MDA-MB-231 met2)CVCL_A9BB (MDA-MB-231 NAT1 down)
CVCL_A9BA (MDA-MB-231 NAT1 scrambled)CVCL_A9BC (MDA-MB-231 NAT1 up)CVCL_DF47 (MDA-MB-231 NucLight Green)
CVCL_DF48 (MDA-MB-231 NucLight Red)CVCL_RA90 (MDA-MB-231 shPARG)CVCL_YJ26 (MDA-MB-231 shWDR12-4)
CVCL_S031 (MDA-MB-231 SimpleCell O-GalNAc)CVCL_VR67 (MDA-MB-231 VIM RFP)CVCL_ZZ22 (MDA-MB-231 Vb100)
CVCL_9U30 (MDA-MB-231-5a)CVCL_R956 (MDA-MB-231-BAG)CVCL_UJ21 (MDA-MB-231-Dox)
CVCL_JG53 (MDA-MB-231-Luc)CVCL_1D88 (MDA-MB-231-luc-D3H1)CVCL_D582 (MDA-MB-231-luc2)
CVCL_V403 (MDA-MB-231-MEK-R)CVCL_5J05 (MDA-MB-231-Red-FLuc)CVCL_5J06 (MDA-MB-231-Red-FLuc-GFP)
CVCL_1D91 (MDA-MB-231-tdTomato)CVCL_S511 (MDA-MB-231/5-FU)CVCL_5T76 (MDA-MB-231/B02)
CVCL_ZZ41 (MDA-MB-231/BCRP)CVCL_JZ03 (MDA-MB-231/GFP)CVCL_JZ04 (MDA-MB-231/GFP-RFP)
CVCL_JZ05 (MDA-MB-231/Luc)CVCL_YZ80 (MDA-MB-231/Luciferase-2A-RFP)CVCL_4Z64 (MDA-MB-231/PacR)
CVCL_JZ06 (MDA-MB-231/RFP)CVCL_A0YX (MDA-MB-231bo)CVCL_A0YY (MDA-MB-231br)
CVCL_4Z65 (MDA-MB-231DR)CVCL_M354 (MDA-MB-231LLM)CVCL_XE60 (MDA-MB-231sci)
CVCL_YA89 (MDA-MB-231T)CVCL_4V67 (MDA231-DOX[r])CVCL_VR35 (MDA231-TGL)
CVCL_YJ68 (VAMPIRO MDA-MB-231)

Sex of cellFemale
Age at sampling51Y
CategoryCancer cell line
STR profileSource(s): AddexBio; ATCC; CCRID; CLS; Cosmic-CLP; DSMZ; ECACC; Genomics_Center_BCF_Technion; KCLB; DOI=10.4172/2157-7145.S2-005; PubMed=19372543; PubMed=25877200; PubMed=28889351

Markers:
AmelogeninX
CSF1PO12,13
D1S165615,17
D2S44114,15
D2S133820,21
D3S135816
D5S81812
D7S8208,9
D8S117913
D10S124814,16
D12S39117,18
D13S31713
D16S53912
D18S5111,16
D19S43311,14
D21S1130,33.2 (CCRID; CLS; DSMZ; PubMed=28889351)
33.2 (DOI=10.4172/2157-7145.S2-005; Genomics_Center_BCF_Technion; PubMed=19372543; PubMed=25877200)
D22S104516
FGA22,23
Penta D11,14
Penta E11
TH017,9.3
TPOX8,9
vWA15,18 (ATCC; CCRID; Cosmic-CLP; DSMZ; ECACC; Genomics_Center_BCF_Technion; KCLB; DOI=10.4172/2157-7145.S2-005; PubMed=19372543; PubMed=25877200; PubMed=28889351)
15,19 (AddexBio; CLS)
Cell line collections (Providers)AddexBio; C0006002/58
ATCC; HTB-26
ATCC; CRM-HTB-26
BCRC; 60425
BCRJ; 0164
CCTCC; GDC0297
CLS; 300275 - Discontinued
DSMZ; ACC-732
ECACC; 92020424
IBRC; C10684
ICLC; HTL99004
IZSLER; BS TCL 223
KCB; KCB 200776YJ
KCLB; 30026
NCBI_Iran; C578
NCI-DTP; MDA-MB-231
Chemistry resourcesChEMBL-Cells; CHEMBL3307960
ChEMBL-Targets; CHEMBL400
GDSC; 905960
PharmacoDB; MDAMB231_900_2019
PubChem_Cell_line; CVCL_0062
Encyclopedic resourcesWikidata; Q17577870
Experimental variables resourcesEFO; EFO_0001209

PubMed=31092827; DOI=10.1038/s41467-019-10148-6
Liu K., Newbury P.A., Glicksberg B.S., Zeng W.Z.-D., Paithankar S., Andrechek E.R., Chen B.
Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data.
Nat. Commun. 10:2138.1-2138.12(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=32782317; DOI=10.1038/s41598-020-70393-4
Risha Y., Minic Z., Ghobadloo S.M., Berezovski M.V.
The proteomic analysis of breast cell line exosomes reveals disease patterns and potential biomarkers.
Sci. Rep. 10:13572-13572(2020)

PubMed=34238275; DOI=10.1186/s12885-021-08511-2
Samson J., Derlipanska M., Zaheed O., Dean K.
Molecular and cellular characterization of two patient-derived ductal carcinoma in situ (DCIS) cell lines, ETCC-006 and ETCC-010.
BMC Cancer 21:790.1-790.20(2021)

PubMed=34320349; DOI=10.1016/j.celrep.2021.109441
Jochems F., Thijssen B., De Conti G., Jansen R., Pogacar Z., Groot K., Wang L.-Q., Schepers A., Wang C., Jin H.-J., Beijersbergen R.L., Leite de Oliveira R., Wessels L.F.A., Bernards R.
The cancer SENESCopedia: a delineation of cancer cell senescence.
Cell Rep. 36:109441.1-109441.22(2021)

PubMed=35042871; DOI=10.1038/s41523-021-00379-6
Rypens C., Bertucci F., Finetti P., Robertson F.M., Fernandez S.V., Ueno N.T., Woodward W.A., Van Golen K., Vermeulen P., Dirix L., Viens P., Birnbaum D., Devi G.R., Cristofanilli M., Van Laere S.
Comparative transcriptional analyses of preclinical models and patient samples reveal MYC and RELA driven expression patterns that define the molecular landscape of IBC.
NPJ Breast Cancer 8:12.1-12.12(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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