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BT-549Homo sapiens (Human)Cancer cell line

Also known as: BT 549, BT.549, BT549, HTB-122 (Based on the ATCC catalog number.)

🤖 AI SummaryBased on 10 publications

Quick Overview

Human breast cancer cell line for cancer research and drug development.

Detailed Summary

BT-549 is a human breast cancer cell line derived from a pleural effusion of a patient with metastatic breast cancer. It is widely used in cancer research for studying tumor biology, drug sensitivity, and molecular mechanisms of cancer progression. The cell line is characterized by specific genetic and molecular features that make it a valuable model for investigating breast cancer pathogenesis and therapeutic responses. Research on BT-549 has contributed to understanding the role of various signaling pathways and genetic alterations in breast cancer development and treatment resistance.

Research Applications

Cancer biology researchDrug developmentMolecular mechanisms of cancer progressionTumor biology studies

Key Characteristics

Metastatic originPleural effusion-derivedGenetic and molecular profilingDrug sensitivity testing
Generated on 6/16/2025

Basic Information

Database IDCVCL_1092
SpeciesHomo sapiens (Human)
Tissue SourceBreast[UBERON:UBERON_0000310]

Donor Information

Age72
Age CategoryAdult
SexFemale
Racecaucasian
Subtype Featuresbasal_B TNBC

Disease Information

DiseaseInvasive breast carcinoma of no special type
LineageBreast
SubtypeBreast Invasive Carcinoma, NOS
OncoTree CodeBRCNOS

DepMap Information

Source TypeATCC
Source IDACH-000288_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
Gene fusionCLTCCLTC-VMP1--from parent cell line HCC1954
MutationSimplePTENp.Val275fs*1 (c.821delG) (p.W274fs)Heterozygous-from parent cell line BT-549
MutationSimpleRB1c.265_607del343Homozygous-from parent cell line BT-549
MutationSimpleTP53p.Arg249Ser (c.747G>C)Homozygous-Unknown

Haplotype Information (STR Profile)

Short Tandem Repeat (STR) profile for cell line authentication.

Amelogenin
X
CSF1PO
10
D13S317
11
D16S539
8
D18S51
15
D19S433
15.2
D21S11
28,32.2
D2S1338
17
D3S1358
18
D5S818
11
D7S820
9
D8S1179
14,16
FGA
19
Penta D
13
Penta E
14
TH01
9.3
TPOX
8
vWA
15
Gene Expression Profile
Gene expression levels and statistical distribution
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Full DepMap dataset with combined data across cell lines

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Publications

The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology.

Simon R.M., Doroshow J.H., Pommier Y., Meltzer P.S.

Cancer Res. 73:4372-4382(2013).

DOIPubMedPMC

Pan-cancer proteomic map of 949 human cell lines.";

Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.

Cancer Cell 40:835-849.e8(2022).

DOIPubMedPMC

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

DOIPubMedPMC

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

DOIPubMedPMC

An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.

Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.

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

DOIPubMedPMC

Improving the metabolic fidelity of cancer models with a physiological cell culture medium.

Kalna G., Nixon C., Blyth K., Gottlieb E., Tardito S.

Sci. Adv. 5:eaau7314.1-eaau7314.14(2019).

DOIPubMedPMC

Multidimensional phenotyping of breast cancer cell lines to guide preclinical research.

Lakhani S.R.

Breast Cancer Res. Treat. 167:289-301(2018).

DOIPubMed

Glycoproteins in claudin-low breast cancer cell lines have a unique expression profile.

Yen T.-Y., Bowen S., Yen R., Piryatinska A., Macher B.A., Timpe L.C.

J. Proteome Res. 16:1391-1400(2017).

DOIPubMedPMC

Characterization of human cancer cell lines by reverse-phase protein arrays.

Liang H.

Cancer Cell 31:225-239(2017).

DOIPubMedPMC

A map of mobile DNA insertions in the NCI-60 human cancer cell panel.

Gnanakkan V.P., Cornish T.C., Boeke J.D., Burns K.H.

Mob. DNA 7:20.1-20.11(2016).

DOIPubMedPMC

A landscape of pharmacogenomic interactions in cancer.";

Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.

Cell 166:740-754(2016).

DOIPubMedPMC

Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR.

Vandesompele J.

Sci. Data 3:160052-160052(2016).

DOIPubMedPMC

TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.

Loewer M., Sahin U., Castle J.C.

Genome Med. 7:118.1-118.7(2015).

DOIPubMedPMC

Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.

Golub T.R., Root D.E., Hahn W.C.

Sci. Data 1:140035-140035(2014).

DOIPubMedPMC

A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.

Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.

OncoImmunology 3:e954893.1-e954893.12(2014).

DOIPubMedPMC

The proteomic landscape of triple-negative breast cancer.";

Irie H.Y., Lee S.-I., Blau C.A., Villen J.

Cell Rep. 11:630-644(2015).

DOIPubMedPMC

A resource for cell line authentication, annotation and quality control.

Neve R.M.

Nature 520:307-311(2015).

DOIPubMed

A comprehensive transcriptional portrait of human cancer cell lines.

Settleman J., Seshagiri S., Zhang Z.-M.

Nat. Biotechnol. 33:306-312(2015).

DOIPubMed

High resolution copy number variation data in the NCI-60 cancer cell lines from whole genome microarrays accessible through CellMiner.

Varma S., Pommier Y., Sunshine M., Weinstein J.N., Reinhold W.C.

PLoS ONE 9:E92047-E92047(2014).

DOIPubMedPMC

The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.

Hirshfield K.M., Oltvai Z.N., Vazquez A.

Cancer Metab. 1:20.1-20.13(2013).

DOIPubMedPMC

Modeling precision treatment of breast cancer.";

Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W.

Genome Biol. 14:R110.1-R110.14(2013).

DOIPubMedPMC

Characterization of cell lines derived from breast cancers and normal mammary tissues for the study of the intrinsic molecular subtypes.

Harrell J.C., Roman E., Adamo B., Troester M.A., Perou C.M.

Breast Cancer Res. Treat. 142:237-255(2013).

DOIPubMedPMC

Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target.

McCormick F., Gray J.W.

Cancer Cell 24:450-465(2013).

DOIPubMedPMC

Global proteome analysis of the NCI-60 cell line panel.";

Wilhelm M., Kuster B.

Cell Rep. 4:609-620(2013).

DOIPubMed

Human breast tumor cells in culture; new concepts in mammary carcinogenesis.

Lasfargues E.Y., Coutinho W.G.

(In book chapter) New frontiers in mammary pathology; Hollmann K.H., de Brux J., Verley J.M. (eds.); pp.117-143; Plenum Press; New York; USA (1981).

DOI

Cell lines from human breast.";

Leibovitz A.

(In book chapter) Atlas of human tumor cell lines; Hay R.J., Park J.-G., Gazdar A.F. (eds.); pp.161-184; Academic Press; New York; USA (1994).

DOI

Breast cancer stem cells: tumourspheres and implications for therapy.";

Morrison B.J.

Thesis PhD (2010); Griffith University; Brisbane; Australia.

DOI

Mutations in p53 as potential molecular markers for human breast cancer.

Runnebaum I.B., Nagarajan M., Bowman M., Soto D., Sukumar S.

Proc. Natl. Acad. Sci. U.S.A. 88:10657-10661(1991).

DOIPubMedPMC

Relationship between karyotype of tissue culture lines and tumorigenicity in nude mice.

Gershwin M.E., Lentz D., Owens R.B.

Exp. Cell Biol. 52:361-370(1984).

DOIPubMed

Characterization of four doxorubicin adapted human breast cancer cell lines with respect to chemotherapeutic drug sensitivity, drug resistance associated membrane proteins and glutathione transferases.

Mannervik B., Bergh J.

Anticancer Res. 13:1425-1430(1993).

PubMed

Adhesion of human breast carcinoma to extracellular matrix proteins is modulated by galectin-3.

Warfield P.R., Nangia-Makker P., Raz A., Ochieng J.

Invasion Metastasis 17:101-112(1997).

PubMed

Lack of relationship between CDK activity and G1 cyclin expression in breast cancer cells.

Sweeney K.J., Swarbrick A., Sutherland R.L., Musgrove E.A.

Oncogene 16:2865-2878(1998).

DOIPubMed

Systematic variation in gene expression patterns in human cancer cell lines.

Botstein D., Brown P.O.

Nat. Genet. 24:227-235(2000).

DOIPubMed

Chromosomal alterations in 15 breast cancer cell lines by comparative genomic hybridization and spectral karyotyping.

Isola J.J., Larsson C.

Genes Chromosomes Cancer 28:308-317(2000).

DOIPubMed

Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.

Gooden G.C., Ethier S.P., Kallioniemi A.H., Kallioniemi O.-P.

Cancer Res. 60:4519-4525(2000).

PubMed

Aberrations of chromosome 8 in 16 breast cancer cell lines by comparative genomic hybridization, fluorescence in situ hybridization, and spectral karyotyping.

Isola J.J.

Cancer Genet. Cytogenet. 126:1-7(2001).

DOIPubMed

The acetyltransferase p300/CBP-associated factor is a p53 target gene in breast tumor cells.

Domann F.E., Futscher B.W.

Neoplasia 6:187-194(2004).

DOIPubMedPMC

Evidence that both genetic instability and selection contribute to the accumulation of chromosome alterations in cancer.

Edwards P.A.W., Caldas C.

Carcinogenesis 26:923-930(2005).

DOIPubMed

HLA class I and II genotype of the NCI-60 cell lines.";

Morse H.C. 3rd, Stroncek D., Marincola F.M.

J. Transl. Med. 3:11.1-11.8(2005).

DOIPubMedPMC

BRCA1 mutation analysis of 41 human breast cancer cell lines reveals three new deleterious mutants.

van den Ouweland A.M.W., Merajver S.D., Ethier S.P., Schutte M.

Cancer Res. 66:41-45(2006).

DOIPubMed

Thirteen new p53 gene mutants identified among 41 human breast cancer cell lines.

Wasielewski M., Elstrodt F., Klijn J.G.M., Berns E.M.J.J., Schutte M.

Breast Cancer Res. Treat. 99:97-101(2006).

DOIPubMed

Mutation analysis of 24 known cancer genes in the NCI-60 cell line set.

Reinhold W.C., Weinstein J.N., Stratton M.R., Futreal P.A., Wooster R.

Mol. Cancer Ther. 5:2606-2612(2006).

DOIPubMedPMC

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.

Johnson M.D., Lippman M.E., Ethier S.P., Gazdar A.F., Gray J.W.

Cancer Cell 10:515-527(2006).

DOIPubMedPMC

Analysis of p53 mutation status in human cancer cell lines: a paradigm for cell line cross-contamination.

Berglind H., Pawitan Y., Kato S., Ishioka C., Soussi T.

Cancer Biol. Ther. 7:699-708(2008).

DOIPubMed

The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression.

Petersen O.W., Gray J.W., Bissell M.J.

Mol. Oncol. 1:84-96(2007).

DOIPubMedPMC

DNA fingerprinting of the NCI-60 cell line panel.";

Chanock S.J., Weinstein J.N.

Mol. Cancer Ther. 8:713-724(2009).

DOIPubMedPMC

Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery.

Pollack J.R.

PLoS ONE 4:E6146-E6146(2009).

DOIPubMedPMC

Distinct gene mutation profiles among luminal-type and basal-type breast cancer cell lines.

den Bakker M.A., Foekens J.A., Martens J.W.M., Schutte M.

Breast Cancer Res. Treat. 121:53-64(2010).

DOIPubMed

Systems-level modeling of cancer-fibroblast interaction.";

Finn S.P., Loda M., Mahmood U., Ramaswamy S.

PLoS ONE 4:E6888-E6888(2009).

DOIPubMedPMC

Signatures of mutation and selection in the cancer genome.";

Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.

Nature 463:893-898(2010).

DOIPubMedPMC

A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers.

Haber D.A.

Cancer Res. 70:2158-2164(2010).

DOIPubMedPMC

Lung cancer cell lines as tools for biomedical discovery and research.

Gazdar A.F., Girard L., Lockwood W.W., Lam W.L., Minna J.D.

J. Natl. Cancer Inst. 102:1310-1321(2010).

DOIPubMedPMC

Induction of tumorigenicity by galectin-3 in a nontumorigenic human breast-carcinoma cell-line.

Nangia-Makker P., Thompson E., Hogan C., Ochieng J., Raz A.

Int. J. Oncol. 7:1079-1087(1995).

DOIPubMed

Triple negative breast cancer cell lines: one tool in the search for better treatment of triple negative breast cancer.

Chavez K.J., Garimella S.V., Lipkowitz S.

Breast Dis. 32:35-48(2010).

DOIPubMedPMC

Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance.

Ambudkar S.V., Gottesman M.M.

Proc. Natl. Acad. Sci. U.S.A. 108:18708-18713(2011).

DOIPubMedPMC

Mass homozygotes accumulation in the NCI-60 cancer cell lines as compared to HapMap trios, and relation to fragile site location.

Ruan X.-Y., Kocher J.-P.A., Pommier Y., Liu H.-F., Reinhold W.C.

PLoS ONE 7:E31628-E31628(2012).

DOIPubMedPMC

Identification of cancer cell-line origins using fluorescence image-based phenomic screening.

Yoon C.N., Chang Y.-T.

PLoS ONE 7:E32096-E32096(2012).

DOIPubMedPMC

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.

Nature 483:603-607(2012).

DOIPubMedPMC

Essential gene profiles in breast, pancreatic, and ovarian cancer cells.

Rottapel R., Neel B.G., Moffat J.

Cancer Discov. 2:172-189(2012).

DOIPubMedPMC

Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation.

Kafri R., Kirschner M.W., Clish C.B., Mootha V.K.

Science 336:1040-1044(2012).

DOIPubMedPMC

Molecular characterisation of cell line models for triple-negative breast cancers.

Reis-Filho J.S., Tutt A.

BMC Genomics 13:619.1-619.14(2012).

DOIPubMedPMC

miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.

Martens J.W.M.

Breast Cancer Res. 15:R33.1-R33.17(2013).

DOIPubMedPMC

Breakpoint analysis of transcriptional and genomic profiles uncovers novel gene fusions spanning multiple human cancer types.

West R.B., Pollack J.R.

PLoS Genet. 9:E1003464-E1003464(2013).

DOIPubMedPMC

Web Resources

dtp.cancer.govstrap.nci.nih.govlincs.hms.harvard.educellosaurus.orgdpsc.ccbr.utoronto.cathermofisher.comsynapse.orgtcpaportal.org