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Cellosaurus MCF-10A (CVCL_0598)

Cell line name MCF-10A
Synonyms MCF 10A; MCF.10A; MCF10A; 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 Part of: ICBP43 breast cancer cell line panel.
Part of: MD Anderson Cell Lines Project.
Microsatellite instability: Stable (MSS) (PubMed=12661003).
Omics: CNV analysis.
Omics: Deep proteome analysis.
Omics: Deep RNAseq analysis.
Omics: DNA methylation analysis.
Omics: Glycoproteome analysis by proteomics.
Omics: Metabolome analysis.
Omics: N-glycan profiling.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
HLA typing Source: PubMed=25960936
Class I
HLA-AA*33:01,01:01
HLA-BB*55:01,40:01
HLA-CC*07:02,03:03
Class II
HLA-DQDQA1*03:02,02:01
DQB1*03:05,03:05
HLA-DRDRB1*04:02,11:44
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Parent: CVCL_3633 (MCF-10F)
Children:
CVCL_IV14 (MCF 10A-H2B-mCherry)CVCL_LD72 (MCF-10A BRAF (V600K/+))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_RR08 (MCF10A CDC25B (-/-))CVCL_RR00 (MCF10A CDH1 (-/-))
CVCL_RR01 (MCF10A EEF2K (-/-))CVCL_RR09 (MCF10A ESR2 (-/-))CVCL_RR02 (MCF10A GSK3B (-/-))
CVCL_RR03 (MCF10A HER2 (-/-))CVCL_RR10 (MCF10A H2AFX (-/-))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_N805 (MCF10A-Er-Src)CVCL_VH36 (MCF10A-JSB)CVCL_0411 (MCF10A-Myc)
CVCL_VC35 (UFH-001)
Sex of cell Female
Age at sampling 36Y
Category Spontaneously immortalized cell line
STR profile Source(s): AddexBio; ATCC; PubMed=25877200; PubMed=28889351

Markers:
AmelogeninX
CSF1PO10,12
D13S3178,9
D16S53911,12
D18S5118,19
D21S1128,30
D3S135814,18
D5S81810,13
D7S82010,11
D8S117914,16
FGA22,24
Penta D10,12
Penta E13,14
TH018,9.3
TPOX9,11
vWA15,17
Web pages https://strap.nci.nih.gov/celline_detail.php?sample_id=81
http://lincs.hms.harvard.edu/resources/reagents/icbp43/
http://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.
Isolation and characterization of a spontaneously immortalized human breast epithelial cell line, MCF-10.
Cancer Res. 50:6075-6086(1990)

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=15375546; DOI=10.3892/ijo.25.4.961
Peng X., Yun D., 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=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., 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=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., 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=24162158; DOI=10.1007/s10549-013-2743-3
Prat A., Karginova O., Parker J.S., Fan C., He X., Bixby L., Harrell J.C., Roman E., Adamo B., Troester M., 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., Sukumar S., Seth P., Sukhatme V.P., Jakkula L.R., Lu Y., 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=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-E954893(2014)

PubMed=25485619; DOI=10.1038/nbt.3080
Klijn C., Durinck S., Stawiski E.W., Haverty P.M., Jiang Z., Liu H., Degenhardt J., Mayba O., Gnad F., Liu J., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu 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.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(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=28196595; DOI=10.1016/j.ccell.2017.01.005
Li J., Zhao W., Akbani R., Liu W., Ju Z., Ling S., Vellano C.P., Roebuck P., Yu Q., Eterovic A.K., Byers L.A., Davies M.A., Deng W., 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., Mills G.B., Liang H.
Characterization of human cancer cell lines by reverse-phase protein arrays.
Cancer Cell 31:225-239(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)

Cross-references
Cell line collections AddexBio; C0006015/4976
ATCC; CRL-10317
BCRJ; 0161
IZSLER; BS CL 174
KCB; KCB 2014066YJ
NCBI_Iran; C609
Cell line databases/resources CCRID; 3131C0001000200025
IGRhCellID; MCF10A
LINCS_HMS; 50583
LINCS_LDP; LCL-2085
Lonza; 131
TOKU-E; 2378
Ontologies BTO; BTO:0001939
CLO; CLO_0007599
EFO; EFO_0001200
MCCL; MCC:0000305
Biological sample resources BioSample; SAMN03471375
ENCODE; ENCBS066ENC
ENCODE; ENCBS067ENC
ENCODE; ENCBS617ENC
ENCODE; ENCBS618ENC
ENCODE; ENCBS619ENC
ENCODE; ENCBS620ENC
ENCODE; ENCBS621ENC
ENCODE; ENCBS622ENC
ENCODE; ENCBS623ENC
Chemistry resources ChEMBL-Cells; CHEMBL3307364
ChEMBL-Targets; CHEMBL614321
Gene expression databases ArrayExpress; E-MTAB-2706
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
Metabolomic databases MetaboLights; MTBLS401
Other Wikidata; Q54904280
Polymorphism and mutation databases Cosmic; 1136376
Cosmic; 1176649
Cosmic; 2318371
Cosmic; 2560254
Proteomic databases PRIDE; PXD000309
PRIDE; PXD000593
PRIDE; PXD000691
PRIDE; PXD003370