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Cellosaurus MCF-10A (CVCL_0598)

Cell line name MCF-10A
Synonyms MCF 10A; MCF.10A; MCF10A; MCF10-A; MCF10a; MCF-10 Attached; Michigan Cancer Foundation-10A
Accession CVCL_0598
Resource Identification Initiative To cite this cell line use: MCF-10A (RRID:CVCL_0598)
Comments Group: Patented cell line.
Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: GrayJW breast cancer cell line panel.
Part of: ICBP43 breast cancer cell line panel.
Part of: MD Anderson Cell Lines Project.
Registration: International Depositary Authority, American Type Culture Collection (ATCC); CRL-10317.
Doubling time: 97.4 hours (PubMed=24389870); 20 hours (PubMed=34238275); 26.74 hours (GrayJW panel).
Microsatellite instability: Stable (MSS) (PubMed=12661003).
Omics: Array-based CGH.
Omics: CNV analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Exosome proteome analysis.
Omics: Glycoproteome analysis by proteomics.
Omics: H2BK120ub 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: Metabolome analysis.
Omics: N-glycan 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; Breast, epithelium; UBERON=UBERON_0008359.
Sequence variations
  • Gene deletion; HGNC; 1787; CDKN2A; Zygosity=Homozygous (PubMed=17334996).
  • Gene deletion; HGNC; 1788; CDKN2B; Zygosity=Homozygous (PubMed=17334996).
HLA typing Source: PubMed=25960936
Class I
HLA-AA*01:01,33:01
HLA-BB*40:01,55:01
HLA-CC*03:03,07:02
Class II
HLA-DQDQA1*02:01,03:02
DQB1*03:05,03:05
HLA-DRDRB1*04:02,11:44

Source: PubMed=26589293
Class I
HLA-AA*01:01,33:01
HLA-BB*40:01,55:01
HLA-CC*03:03,07:02
Class II
HLA-DRDRB1*01:01,13:10
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Parent: CVCL_3633 (MCF-10F)
Children:
CVCL_A4BW (MCF 10A Ecadherin EmGFP)CVCL_IV14 (MCF 10A-H2B-mCherry)CVCL_A2PV (MCF-10A ARID1A (Q456*/Q456*))
CVCL_LD72 (MCF-10A BRAF (V600K/+))CVCL_A2PT (MCF-10A BRCA1 (185delAG/+))CVCL_A2PU (MCF-10A CTNNB1 (T41A/+/+))
CVCL_LE03 (MCF-10A EGFR (delE746-A750/+))CVCL_LD15 (MCF-10A EGFR (L858R/+))CVCL_LD16 (MCF-10A EGFR (L861Q/+))
CVCL_LD17 (MCF-10A EGFR (T790M/+))CVCL_LD73 (MCF-10A IDH1 (R132H/+))CVCL_LD74 (MCF-10A KRAS (G12V/+))
CVCL_LD75 (MCF-10A PIK3CA (E545K/+))CVCL_LD55 (MCF-10A PIK3CA (H1047R/+))CVCL_JM26 (MCF-10A PTEN(-/-))
CVCL_LD76 (MCF-10A RAC1 (Q61L/+))CVCL_RA88 (MCF-10A shPARG)CVCL_JM25 (MCF-10A TP53(-/-))
CVCL_IP85 (MCF-10A-erbB-2)CVCL_6C54 (MCF-10A-neo)CVCL_6C55 (MCF-10A-neoN)
CVCL_5554 (MCF-10A-neoT)CVCL_DS00 (MCF-10A/Twist)CVCL_RQ97 (MCF10A AKT2 (-/-))
CVCL_RQ98 (MCF10A APC (-/-))CVCL_RQ99 (MCF10A BCR (-/-))CVCL_B7JN (MCF10A BLV)
CVCL_RR08 (MCF10A CDC25B (-/-))CVCL_RR00 (MCF10A CDH1 (-/-))CVCL_RR01 (MCF10A EEF2K (-/-))
CVCL_RR09 (MCF10A ESR2 (-/-))CVCL_RR02 (MCF10A GSK3B (-/-))CVCL_RR10 (MCF10A H2AFX (-/-))
CVCL_RR03 (MCF10A HER2 (-/-))CVCL_RR04 (MCF10A PARP2 (-/-))CVCL_RR05 (MCF10A PTEN (-/-))
CVCL_RR11 (MCF10A PVRL4 (-/-))CVCL_RQ96 (MCF10A RFP-TUBA1B)CVCL_RR12 (MCF10A RICTOR (-/-))
CVCL_RR07 (MCF10A SYK (-/-))CVCL_RR06 (MCF10A TP53 (-/-))CVCL_C7Q0 (MCF10A-AKTm-1)
CVCL_C7Q1 (MCF10A-AKTm-Control)CVCL_C7Q2 (MCF10A-EGFR1m-1)CVCL_C7QB (MCF10A-EGFR1m-10)
CVCL_C7QC (MCF10A-EGFR1m-11)CVCL_C7QD (MCF10A-EGFR1m-12)CVCL_C7QE (MCF10A-EGFR1m-13)
CVCL_C7QF (MCF10A-EGFR1m-14)CVCL_C7QG (MCF10A-EGFR1m-15)CVCL_C7QH (MCF10A-EGFR1m-16)
CVCL_C7QI (MCF10A-EGFR1m-17)CVCL_C7QJ (MCF10A-EGFR1m-18)CVCL_C7QK (MCF10A-EGFR1m-19)
CVCL_C7Q3 (MCF10A-EGFR1m-2)CVCL_C7QL (MCF10A-EGFR1m-20)CVCL_C7QM (MCF10A-EGFR1m-21)
CVCL_C7Q4 (MCF10A-EGFR1m-3)CVCL_C7Q5 (MCF10A-EGFR1m-4)CVCL_C7Q6 (MCF10A-EGFR1m-5)
CVCL_C7Q7 (MCF10A-EGFR1m-6)CVCL_C7Q8 (MCF10A-EGFR1m-7)CVCL_C7Q9 (MCF10A-EGFR1m-8)
CVCL_C7QA (MCF10A-EGFR1m-9)CVCL_C7QN (MCF10A-EGFR1m-control)CVCL_N805 (MCF10A-Er-Src)
CVCL_C7QP (MCF10A-ERBB2m-1)CVCL_C7QY (MCF10A-ERBB2m-10)CVCL_C7QZ (MCF10A-ERBB2m-11)
CVCL_C7R0 (MCF10A-ERBB2m-12)CVCL_C7R1 (MCF10A-ERBB2m-13)CVCL_C7QQ (MCF10A-ERBB2m-2)
CVCL_C7QR (MCF10A-ERBB2m-3)CVCL_C7QS (MCF10A-ERBB2m-4)CVCL_C7QT (MCF10A-ERBB2m-5)
CVCL_C7QU (MCF10A-ERBB2m-6)CVCL_C7QV (MCF10A-ERBB2m-7)CVCL_C7QW (MCF10A-ERBB2m-8)
CVCL_C7QX (MCF10A-ERBB2m-9)CVCL_C7R2 (MCF10A-ERRB2m-Control)CVCL_VH36 (MCF10A-JSB)
CVCL_YI68 (MCF10A-KRAS)CVCL_0411 (MCF10A-Myc)CVCL_C7R3 (MCF10A-PTENm-1)
CVCL_C7R4 (MCF10A-PTENm-2)CVCL_C7R5 (MCF10A-PTENm-3)CVCL_C7R6 (MCF10A-PTENm-4)
CVCL_C7R7 (MCF10A-PTENm-5)CVCL_C7R8 (MCF10A-PTENm-Control)CVCL_C0ZJ (MCF10A_APC_7)
CVCL_C0ZK (MCF10A_APC_735)CVCL_C0ZL (MCF10A_APC_753)CVCL_C0ZM (MCF10A_ARID1A_B4)
CVCL_C0ZN (MCF10A_ARID1A_C11_SC1)CVCL_C0ZP (MCF10A_ATRX_718)CVCL_C0ZQ (MCF10A_ATRX_722)
CVCL_C0ZR (MCF10A_ATRX_734)CVCL_C0ZS (MCF10A_CDKN2C_161)CVCL_C0ZT (MCF10A_CDKN2C_163)
CVCL_C0ZU (MCF10A_DAXX_703_SC1)CVCL_C0ZV (MCF10A_DAXX_704)CVCL_C0ZW (MCF10A_DAXX_715)
CVCL_C0ZX (MCF10A_EZH2_10A3)CVCL_C0ZY (MCF10A_EZH2_10B4)CVCL_C0ZZ (MCF10A_EZH2_19)
CVCL_C1A0 (MCF10A_MLH1_4)CVCL_C1A1 (MCF10A_MLH1_5)CVCL_C1A2 (MCF10A_MLL2_7)
CVCL_C1A3 (MCF10A_MSH2_104)CVCL_C1A4 (MCF10A_MSH2_173)CVCL_C1A5 (MCF10A_MSH6_54)
CVCL_C1CE (MCF10A_MTAP_15)CVCL_C1CF (MCF10A_MTAP_8)CVCL_C1A6 (MCF10A_NF1_1)
CVCL_C1A7 (MCF10A_NF1_7A1)CVCL_C1A8 (MCF10A_NF1_7B2)CVCL_C1A9 (MCF10A_NOTCH1_1)
CVCL_C1AA (MCF10A_NOTCH1_14)CVCL_C1AB (MCF10A_PTCH1_2)CVCL_C1AC (MCF10A_PTCH1_5)
CVCL_C1AD (MCF10A_PTEN_1)CVCL_C1AE (MCF10A_STAG2_9)CVCL_C1AF (MCF10A_STAG2_A4)
CVCL_C1AG (MCF10A_STAG2_C5)CVCL_C1AH (MCF10A_TET2_B3)CVCL_C1AI (MCF10A_TET2_E3)
CVCL_C1AJ (MCF10A_TET2_E7)CVCL_C1AK (MCF10A_TP53_137)CVCL_C1AL (MCF10A_TP53_142)
CVCL_WM99 (MCF10A1)CVCL_VC35 (UFH-001)
Sex of cell Female
Age at sampling 36Y
Category Spontaneously immortalized cell line
STR profile Source(s): AddexBio; ATCC; CCRID; Genomics_Center_BCF_Technion; PubMed=25877200; PubMed=28889351; PubMed=29444910

Markers:
AmelogeninX
CSF1PO10,12
D1S165616.3,17.3
D2S44111,14
D2S133821,26
D3S135814,18
D5S81810,13
D6S104312,18
D7S82010,11
D8S117914,16
D10S124814,16
D12S39116,20 (Genomics_Center_BCF_Technion)
17,20 (CCRID)
D13S3178,9
D16S53911,12
D18S5118,19
D19S43313,15
D21S1128,30
D22S104511,18
FGA22,24
Penta D10,12
Penta E13,14
TH018,9.3
TPOX9,11
vWA15,17

Run an STR similarity search on this cell line
Web pages https://strap.nci.nih.gov/celline_detail.php?sample_id=81
https://lincs.hms.harvard.edu/resources/reagents/icbp43/
https://www.synapse.org/#!Synapse:syn2346643/wiki/62255
https://tcpaportal.org/mclp/
Publications

PubMed=1975513
Soule H.D., Maloney T.M., Wolman S.R., Peterson W.D. Jr., Brenz R., McGrath C.M., Russo J., Pauley R.J., Jones R.F., Brooks S.C. Jr.
Isolation and characterization of a spontaneously immortalized human breast epithelial cell line, MCF-10.
Cancer Res. 50:6075-6086(1990)

DOI=10.1016/B978-0-12-333530-2.50009-5
Leibovitz A.
Cell lines from human breast.
(In) Atlas of human tumor cell lines; Hay R.J., Park J.-G., Gazdar A.F. (eds.); pp.161-184; Academic Press; New York (1994)

Patent=US5436152
Soule H.D., McGrath C.M.
Immortal human mammary epithelial cell lines.
Patent number US5436152, 25-Jul-1995

PubMed=12661003; DOI=10.1002/gcc.10196
Seitz S., Wassmuth P., Plaschke J., Schackert H.K., Karsten U., Santibanez-Koref M.F., Schlag P.M., Scherneck S.
Identification of microsatellite instability and mismatch repair gene mutations in breast cancer cell lines.
Genes Chromosomes Cancer 37:29-35(2003)

PubMed=15153330; DOI=10.1593/neo.3292
Watts G.S., Oshiro M.M., Junk D.J., Wozniak R.J., Watterson S.J., Domann F.E., Futscher B.W.
The acetyltransferase p300/CBP-associated factor is a p53 target gene in breast tumor cells.
Neoplasia 6:187-194(2004)

PubMed=15375546; DOI=10.3892/ijo.25.4.961
Peng X.-Y., Yun D.-R., Christov K.
Breast cancer progression in MCF10A series of cell lines is associated with alterations in retinoic acid and retinoid X receptors and with differential response to retinoids.
Int. J. Oncol. 25:961-971(2004)

PubMed=16271952; DOI=10.1016/j.cancergencyto.2005.04.019
Cowell J.K., LaDuca J., Rossi M.R., Burkhardt T., Nowak N.J., Matsui S.-i.
Molecular characterization of the t(3;9) associated with immortalization in the MCF10A cell line.
Cancer Genet. Cytogenet. 163:23-29(2005)

PubMed=17157791; DOI=10.1016/j.ccr.2006.10.008
Neve R.M., Chin K., Fridlyand J., Yeh J., Baehner F.L., Fevr T., Clark L., Bayani N., Coppe J.-P., Tong F., Speed T., Spellman P.T., DeVries S., Lapuk A., Wang N.J., Kuo W.-L., Stilwell J.L., Pinkel D., Albertson D.G., Waldman F.M., McCormick F., Dickson R.B., Johnson M.D., Lippman M.E., Ethier S.P., Gazdar A.F., Gray J.W.
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.
Cancer Cell 10:515-527(2006)

PubMed=17334996; DOI=10.1002/gcc.20438
Jonsson G., Staaf J., Olsson E., Heidenblad M., Vallon-Christersson J., Osoegawa K., de Jong P.J., Oredsson S.M., Ringner M., Hoglund M., Borg A.
High-resolution genomic profiles of breast cancer cell lines assessed by tiling BAC array comparative genomic hybridization.
Genes Chromosomes Cancer 46:543-558(2007)

PubMed=19582160; DOI=10.1371/journal.pone.0006146
Kao J., Salari K., Bocanegra M., Choi Y.-L., Girard L., Gandhi J., Kwei K.A., Hernandez-Boussard T., Wang P., Gazdar A.F., Minna J.D., Pollack J.R.
Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery.
PLoS ONE 4:E6146-E6146(2009)

PubMed=20169162; DOI=10.1371/journal.pone.0009201
Kadota M., Yang H.H., Gomez B.P., Sato M., Clifford R.J., Meerzaman D., Dunn B.K., Wakefield L.M., Lee M.P.
Delineating genetic alterations for tumor progression in the MCF10A series of breast cancer cell lines.
PLoS ONE 5:E9201-E9201(2010)

PubMed=22414580; DOI=10.1158/0008-5472.CAN-11-3711
Geiger T., Madden S.F., Gallagher W.M., Cox J., Mann M.
Proteomic portrait of human breast cancer progression identifies novel prognostic markers.
Cancer Res. 72:2428-2439(2012)

PubMed=24009699; DOI=10.1371/journal.pone.0072704
Liu X., Nie H., Zhang Y.-B., Yao Y.-F., Maitikabili A., Qu Y.-P., Shi S.-L., Chen C.-Y., Li Y.
Cell surface-specific N-glycan profiling in breast cancer.
PLoS ONE 8:E72704-E72704(2013)

PubMed=24094812; DOI=10.1016/j.ccr.2013.08.020
Timmerman L.A., Holton T., Yuneva M., Louie R.J., Padro M., Daemen A., Hu M., Chan D.A., Ethier S.P., van 't Veer L.J., Polyak K., McCormick F., Gray J.W.
Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target.
Cancer Cell 24:450-465(2013)

PubMed=24162158; DOI=10.1007/s10549-013-2743-3
Prat A., Karginova O., Parker J.S., Fan C., He X.-P., Bixby L.M., Harrell J.C., Roman E., Adamo B., Troester M.A., Perou C.M.
Characterization of cell lines derived from breast cancers and normal mammary tissues for the study of the intrinsic molecular subtypes.
Breast Cancer Res. Treat. 142:237-255(2013)

PubMed=24176112; DOI=10.1186/gb-2013-14-10-r110
Daemen A., Griffith O.L., Heiser L.M., Wang N.J., Enache O.M., Sanborn Z., Pepin F., Durinck S., Korkola J.E., Griffith M., Hur J.S., Huh N., Chung J., Cope L., Fackler M.J., Umbricht C.B., Sukumar S., Seth P., Sukhatme V.P., Jakkula L.R., Lu Y.-L., Mills G.B., Cho R.J., Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W.
Modeling precision treatment of breast cancer.
Genome Biol. 14:R110.1-R110.14(2013)

PubMed=24262153; DOI=10.1016/j.jprot.2013.11.006
Yen T.-Y., Haste N., Timpe L.C., Litsakos-Cheung C., Yen R., Macher B.A.
Using a cell line breast cancer progression system to identify biomarker candidates.
J. Proteomics 96:173-183(2014)

PubMed=24389870; DOI=10.1038/srep03576
Strauch M., Ludke A., Munch D., Laudes T., Galizia C.G., Martinelli E., Lavra L., Paolesse R., Ulivieri A., Catini A., Capuano R., Di Natale C.
More than apples and oranges -- detecting cancer with a fruit fly's antenna.
Sci. Rep. 4:3576-3576(2014)

PubMed=25960936; DOI=10.4161/21624011.2014.954893
Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.
A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.
OncoImmunology 3:e954893.1-e954893.12(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=25892236; DOI=10.1016/j.celrep.2015.03.050
Lawrence R.T., Perez E.M., Hernandez D., Miller C.P., Haas K.M., Irie H.Y., Lee S.-I., Blau C.A., Villen J.
The proteomic landscape of triple-negative breast cancer.
Cell Rep. 11:630-644(2015)

PubMed=26055192; DOI=10.1021/acs.jproteome.5b00375
Cifani P., Kirik U., Waldemarson S., James P.
Molecular portrait of breast-cancer-derived cell lines reveals poor similarity with tumors.
J. Proteome Res. 14:2819-2827(2015)

PubMed=26218769; DOI=10.1016/j.jchromb.2015.07.021
Willmann L., Schlimpert M., Halbach S., Erbes T., Stickeler E., Kammerer B.
Metabolic profiling of breast cancer: differences in central metabolism between subtypes of breast cancer cell lines.
J. Chromatogr. B 1000:95-104(2015)

PubMed=26589293; DOI=10.1186/s13073-015-0240-5
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=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=28287265; DOI=10.1021/acs.jproteome.6b00470
Yen T.-Y., Bowen S., Yen R., Piryatinska A., Macher B.A., Timpe L.C.
Glycoproteins in claudin-low breast cancer cell lines have a unique expression profile.
J. Proteome Res. 16:1391-1400(2017)

PubMed=28596718; DOI=10.1007/s11306-017-1213-z
Herman S., Emami Khoonsari P., Aftab O., Krishnan S., Strombom E., Larsson R., Hammerling U., Spjuth O., Kultima K., Gustafsson M.
Mass spectrometry based metabolomics for in vitro systems pharmacology: pitfalls, challenges, and computational solutions.
Metabolomics 13:79-79(2017)

PubMed=28889351; DOI=10.1007/s10549-017-4496-x
Saunus J.M., Smart C.E., Kutasovic J.R., Johnston R.L., Kalita-de Croft P., Miranda M., Rozali E.N., Vargas A.C., Reid L.E., Lorsy E., Cocciardi S., Seidens T., McCart Reed A.E., Dalley A.J., Wockner L.F., Johnson J., Sarkar D., Askarian-Amiri M.E., Simpson P.T., Khanna K.K., Chenevix-Trench G., Al-Ejeh F., Lakhani S.R.
Multidimensional phenotyping of breast cancer cell lines to guide preclinical research.
Breast Cancer Res. Treat. 167:289-301(2018)

PubMed=29273624; DOI=10.1101/gr.226019.117
Franco H.L., Nagari A., Malladi V.S., Li W.-Q., Xi Y.-X., Richardson D., Allton K.L., Tanaka K., Li J., Murakami S., Keyomarsi K., Bedford M.T., Shi X.-B., Li W., Barton M.C., Dent S.Y.R., Kraus W.L.
Enhancer transcription reveals subtype-specific gene expression programs controlling breast cancer pathogenesis.
Genome Res. 28:159-170(2018)

PubMed=29444910; DOI=10.1530/ERC-17-0445
Hofving T., Arvidsson Y., Almobarak B., Inge L., Pfragner R., Persson M., Stenman G., Kristiansson E., Johanson V., Nilsson O.
The neuroendocrine phenotype, genomic profile and therapeutic sensitivity of GEPNET cell lines.
Endocr. Relat. Cancer 25:367-380(2018)

PubMed=29561695; DOI=10.1080/15384047.2018.1449612
Chen Z.-J., Ai L.-B., Mboge M.Y., McKenna R., Frost C.J., Heldermon C.D., Frost S.C.
UFH-001 cells: a novel triple negative, CAIX-positive, human breast cancer model system.
Cancer Biol. Ther. 19:598-608(2018)

PubMed=30787054; DOI=10.1158/1055-9965.EPI-18-1132
Hooker S.E. Jr., Woods-Burnham L., Bathina M., Lloyd S., Gorjala P., Mitra R., Nonn L., Kimbro K.S., Kittles R.A.
Genetic ancestry analysis reveals misclassification of commonly used cancer cell lines.
Cancer Epidemiol. Biomarkers Prev. 28:1003-1009(2019)

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)

Cross-references
Cell line collections (Providers) AddexBio; C0006015/4976
ATCC; CRL-10317
BCRJ; 0161
CLS; 305026
IBRC; C10788
IZSLER; BS CL 174
KCB; KCB 2014066YJ
NCBI_Iran; C609
Cell line databases/resources CLO; CLO_0007599
MCCL; MCC:0000305
cancercelllines; CVCL_0598
CCRID; 1101HUM-PUMC000406
CCRID; 3101HUMSCSP575
DepMap; ACH-001357
IGRhCellID; MCF10A
LINCS_HMS; 50583
LINCS_LDP; LCL-2085
Lonza; 131
TOKU-E; 2378
Anatomy/cell type resources BTO; BTO:0001939
Biological sample resources BioSample; SAMN03471375
ENCODE; ENCBS066ENC
ENCODE; ENCBS067ENC
ENCODE; ENCBS317EPD
ENCODE; ENCBS417KGL
ENCODE; ENCBS617ENC
ENCODE; ENCBS618ENC
ENCODE; ENCBS619ENC
ENCODE; ENCBS620ENC
ENCODE; ENCBS621ENC
ENCODE; ENCBS622ENC
ENCODE; ENCBS623ENC
ENCODE; ENCBS868SSJ
CRISP screens repositories BioGRID_ORCS_Cell_line; 40
Chemistry resources ChEMBL-Cells; CHEMBL3307364
ChEMBL-Targets; CHEMBL614321
PharmacoDB; MCF10A_891_2019
PubChem_Cell_line; CVCL_0598
Encyclopedic resources Wikidata; Q54904280
Experimental variables resources EFO; EFO_0001200
Gene expression databases ArrayExpress; E-MTAB-2706
ArrayExpress; E-TABM-157
GEO; GSM50033
GEO; GSM155217
GEO; GSM320171
GEO; GSM350543
GEO; GSM498022
GEO; GSM498026
GEO; GSM756371
GEO; GSM845395
GEO; GSM844584
GEO; GSM1053724
GEO; GSM1172973
GEO; GSM1172882
GEO; GSM1238116
GEO; GSM1328939
GEO; GSM1328940
GEO; GSM1328941
GEO; GSM2258704
GEO; GSM2258705
GEO; GSM2258706
GEO; GSM2258707
GEO; GSM2258708
GEO; GSM2258709
GEO; GSM2258710
GEO; GSM2258711
GEO; GSM2258712
GEO; GSM2258713
GEO; GSM2258714
GEO; GSM2258715
GEO; GSM2258716
GEO; GSM2258717
GEO; GSM2258718
GEO; GSM2258719
GEO; GSM2258720
GEO; GSM2258721
GEO; GSM2258944
GEO; GSM2258945
GEO; GSM2258946
GEO; GSM2862786
GEO; GSM2862787
GEO; GSM2862788
Metabolomic databases MetaboLights; MTBLS401
Polymorphism and mutation databases Cosmic; 1136376
Cosmic; 1176649
Cosmic; 2318371
Cosmic; 2560254
IARC_TP53; 24292
Progenetix; CVCL_0598
Proteomic databases PRIDE; PXD000309
PRIDE; PXD000593
PRIDE; PXD000691
PRIDE; PXD003370
PRIDE; PXD005339
PRIDE; PXD008222
PRIDE; PXD009668
Sequence databases EGA; EGAS00001000610
Entry history
Entry creation04-Apr-2012
Last entry update30-Jan-2024
Version number44