Cellosaurus cell line MDA-MB-453 (CVCL_0418) (2024)

Publications

PubMed=730202; DOI=10.1007/BF02616120
Cailleau R.M., Olive M., Cruciger Q.V.J.
Long-term human breast carcinoma cell lines of metastatic origin: preliminary characterization.
In Vitro 14:911-915(1978)

PubMed=3518877; DOI=10.3109/07357908609038260
Fogh J.
Human tumor lines for cancer research.
Cancer Invest. 4:157-184(1986)

PubMed=1961733; DOI=10.1073/pnas.88.23.10657
Runnebaum I.B., Nagarajan M., Bowman M., Soto D., Sukumar S.
Mutations in p53 as potential molecular markers for human breast cancer.
Proc. Natl. Acad. Sci. U.S.A. 88:10657-10661(1991)

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)

PubMed=9815641
Wosikowski K., Schuurhuis D., Kops G.J.P.L., Saceda M., Bates S.E.
Altered gene expression in drug-resistant human breast cancer cells.
Clin. Cancer Res. 3:2405-2414(1997)

PubMed=9671407; DOI=10.1038/sj.onc.1201814
Sweeney K.J., Swarbrick A., Sutherland R.L., Musgrove E.A.
Lack of relationship between CDK activity and G1 cyclin expression in breast cancer cells.
Oncogene 16:2865-2878(1998)

PubMed=10969801
Forozan F., Mahlamaki E.H., Monni O., Chen Y.-D., Veldman R., Jiang Y., Gooden G.C., Ethier S.P., Kallioniemi A., Kallioniemi O.-P.
Comparative genomic hybridization analysis of 38 breast cancer cell lines: a basis for interpreting complementary DNA microarray data.
Cancer Res. 60:4519-4525(2000)

PubMed=11687795; DOI=10.1038/ng754
Snijders A.M., Nowak N.J., Segraves R., Blackwood S., Brown N., Conroy J., Hamilton G., Hindle A.K., Huey B., Kimura K., Law S., Myambo K., Palmer J., Ylstra B., Yue J.P., Gray J.W., Jain A.N., Pinkel D., Albertson D.G.
Assembly of microarrays for genome-wide measurement of DNA copy number.
Nat. Genet. 29:263-264(2001)

PubMed=11789735; DOI=10.1309/4NCM-QJ9W-QM0J-6QJE
Rhodes A., Jasani B., Couturier J., McKinley M.J., Morgan J.M., Dodson A.R., Navabi H., Miller K.D., Balaton A.J.
A formalin-fixed, paraffin-processed cell line standard for quality control of immunohistochemical assay of HER-2/neu expression in breast cancer.
Am. J. Clin. Pathol. 117:81-89(2002)

PubMed=12353263; DOI=10.1002/gcc.10107
Popovici C., Basset C., Bertucci F., Orsetti B., Adelaide J., Mozziconacci M.-J., Conte N., Murati A., Ginestier C., Charafe-Jauffret E., Ethier S.P., Lafa*ge-Pochitaloff M., Theillet C., Birnbaum D., Chaffanet M.
Reciprocal translocations in breast tumor cell lines: cloning of a t(3;20) that targets the FHIT gene.
Genes Chromosomes Cancer 35:204-218(2002)

PubMed=12800145; DOI=10.1002/gcc.10218
Adelaide J., Huang H.-E., Murati A., Alsop A.E., Orsetti B., Mozziconacci M.-J., Popovici C., Ginestier C., Letessier A., Basset C., Courtay-Cahen C., Jacquemier J., Theillet C., Birnbaum D., Edwards P.A.W., Chaffanet M.
A recurrent chromosome translocation breakpoint in breast and pancreatic cancer cell lines targets the neuregulin/NRG1 gene.
Genes Chromosomes Cancer 37:333-345(2003)

PubMed=16142302; DOI=10.3892/ijo.27.4.881
de Longueville F., Lacroix M., Barbuto A.-M., Bertholet V., Gallo D., Larsimont D., Marcq L., Zammatteo N., Boffe S., Leclercq G., Remacle J.
Molecular characterization of breast cancer cell lines by a low-density microarray.
Int. J. Oncol. 27:881-892(2005)

PubMed=16397213; DOI=10.1158/0008-5472.CAN-05-2853
Elstrodt F., Hollestelle A., Nagel J.H.A., Gorin M., Wasielewski M., van den Ouweland A., Merajver S.D., Ethier S.P., Schutte M.
BRCA1 mutation analysis of 41 human breast cancer cell lines reveals three new deleterious mutants.
Cancer Res. 66:41-45(2006)

PubMed=16541312; DOI=10.1007/s10549-006-9186-z
Wasielewski M., Elstrodt F., Klijn J.G.M., Berns E.M.J.J., Schutte M.
Thirteen new p53 gene mutants identified among 41 human breast cancer cell lines.
Breast Cancer Res. Treat. 99:97-101(2006)

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=18516279; DOI=10.1016/j.molonc.2007.02.004
Kenny P.A., Lee G.Y., Myers C.A., Neve R.M., Semeiks J.R., Spellman P.T., Lorenz K., Lee E.H., Barcellos-Hoff M.H., Petersen O.W., Gray J.W., Bissell M.J.
The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression.
Mol. Oncol. 1:84-96(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)

CLPUB00423
Morrison B.J.
Breast cancer stem cells: tumourspheres and implications for therapy.
Thesis PhD (2010), Griffith University, Australia

PubMed=19593635; DOI=10.1007/s10549-009-0460-8
Hollestelle A., Nagel J.H.A., Smid M., Lam S., Elstrodt F., Wasielewski M., Ng S.S., French P.J., Peeters J.K., Rozendaal M.J., Riaz M., Koopman D.G., ten Hagen T.L.M., de Leeuw B.H.C.G.M., Zwarthoff E.C., Teunisse A., van der Spek P.J., Klijn J.G.M., Dinjens W.N.M., Ethier S.P., Clevers H.C., Jochemsen A.G., den Bakker M.A., Foekens J.A., Martens J.W.M., Schutte M.
Distinct gene mutation profiles among luminal-type and basal-type breast cancer cell lines.
Breast Cancer Res. Treat. 121:53-64(2010)

PubMed=20164919; DOI=10.1038/nature08768
Bignell G.R., Greenman C.D., Davies H., Butler A.P., Edkins S., Andrews J.M., Buck G., Chen L., Beare D., Latimer C., Widaa S., Hinton J., Fahey C., Fu B.-Y., Swamy S., Dalgliesh G.L., Teh B.T., Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.
Signatures of mutation and selection in the cancer genome.
Nature 463:893-898(2010)

PubMed=20215515; DOI=10.1158/0008-5472.CAN-09-3458
Rothenberg S.M., Mohapatra G., Rivera M.N., Winokur D., Greninger P., Nitta M., Sadow P.M., Sooriyakumar G., Brannigan B.W., Ulman M.J., Perera R.M., Wang R., Tam A., Ma X.-J., Erlander M., Sgroi D.C., Rocco J.W., Lingen M.W., Cohen E.E.W., Louis D.N., Settleman J., Haber D.A.
A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers.
Cancer Res. 70:2158-2164(2010)

PubMed=21378333
Ford C.H.J., Al-Bader M., Al-Ayadhi B., Francis I.
Reassessment of estrogen receptor expression in human breast cancer cell lines.
Anticancer Res. 31:521-527(2011)

PubMed=22121396; DOI=10.3892/ol.2011.375
Vranic S., Gatalica Z., Wang Z.-Y.
Update on the molecular profile of the MDA-MB-453 cell line as a model for apocrine breast carcinoma studies.
Oncol. Lett. 2:1131-1137(2011)

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=22460905; DOI=10.1038/nature11003
Barretina J.G., Caponigro G., Stransky N., Venkatesan K., Margolin A.A., Kim S., Wilson C.J., Lehar J., Kryukov G.V., Sonkin D., Reddy A., Liu M., Murray L., Berger M.F., Monahan J.E., Morais P., Meltzer J., Korejwa A., Jane-Valbuena J., Mapa F.A., Thibault J., Bric-Furlong E., Raman P., Shipway A., Engels I.H., Cheng J., Yu G.-Y.K., Yu J.-J., Aspesi P. Jr., de Silva M., Jagtap K., Jones M.D., Wang L., Hatton C., Palescandolo E., Gupta S., Mahan S., Sougnez C., Onofrio R.C., Liefeld T., MacConaill L.E., Winckler W., Reich M., Li N.-X., Mesirov J.P., Gabriel S.B., Getz G., Ardlie K., Chan V., Myer V.E., Weber B.L., Porter J., Warmuth M., Finan P., Harris J.L., Meyerson M.L., Golub T.R., Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Nature 483:603-607(2012)

PubMed=22585861; DOI=10.1158/2159-8290.CD-11-0224
Marcotte R., Brown K.R., Suarez Saiz F.J., Sayad A., Karamboulas K., Krzyzanowski P.M., Sircoulomb F., Medrano M., Fedyshyn Y., Koh J.L.Y., van Dyk D., Fedyshyn B., Luhova M., Brito G.C., Vizeacoumar F.J., Vizeacoumar F.S., Datti A., Kasimer D., Buzina A., Mero P., Misquitta C., Normand J., Haider M., Ketela T., Wrana J.L., Rottapel R., Neel B.G., Moffat J.
Essential gene profiles in breast, pancreatic, and ovarian cancer cells.
Cancer Discov. 2:172-189(2012)

PubMed=22719059; DOI=10.1530/ERC-12-0065
Moore N.L., Buchanan G., Harris J.M., Selth L.A., Bianco-Miotto T., Hanson A.R., Birrell S.N., Butler L.M., Hickey T.E., Tilley W.D.
An androgen receptor mutation in the MDA-MB-453 cell line model of molecular apocrine breast cancer compromises receptor activity.
Endocr. Relat. Cancer 19:599-613(2012)

PubMed=23601657; DOI=10.1186/bcr3415
Riaz M., van Jaarsveld M.T.M., Hollestelle A., Prager-van der Smissen W.J.C., Heine A.A.J., Boersma A.W.M., Liu J.-J., Helmijr J.C.A., Ozturk B., Smid M., Wiemer E.A.C., Foekens J.A., Martens J.W.M.
miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs.
Breast Cancer Res. 15:R33.1-R33.17(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=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=25984343; DOI=10.1038/sdata.2014.35
Cowley G.S., Weir B.A., Vazquez F., Tamayo P., Scott J.A., Rusin S., East-Seletsky A., Ali L.D., Gerath W.F.J., Pantel S.E., Lizotte P.H., Jiang G.-Z., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E.T., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H.-B., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Meyers B.H., Armstrong S.A., Anderson K.C., Stegmaier K., Reich M., Pellman D., Boehm J.S., Mesirov J.P., Golub T.R., Root D.E., Hahn W.C.
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Sci. Data 1:140035-140035(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=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=27397505; DOI=10.1016/j.cell.2016.06.017
Iorio F., Knijnenburg T.A., Vis D.J., Bignell G.R., Menden M.P., Schubert M., Aben N., Goncalves E., Barthorpe S., Lightfoot H., co*kelaer T., Greninger P., van Dyk E., Chang H., de Silva H., Heyn H., Deng X.-M., Egan R.K., Liu Q.-S., Mironenko T., Mitropoulos X., Richardson L., Wang J.-H., Zhang T.-H., Moran S., Sayols S., Soleimani M., Tamborero D., Lopez-Bigas N., Ross-Macdonald P., Esteller M., Gray N.S., Haber D.A., Stratton M.R., Benes C.H., Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.
A landscape of pharmacogenomic interactions in cancer.
Cell 166:740-754(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=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=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=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=30971826; DOI=10.1038/s41586-019-1103-9
Behan F.M., Iorio F., Picco G., Goncalves E., Beaver C.M., Migliardi G., Santos R., Rao Y., Sassi F., Pinnelli M., Ansari R., Harper S., Jackson D.A., McRae R., Pooley R., Wilkinson P., van der Meer D.J., Dow D., Buser-Doepner C.A., Bertotti A., Trusolino L., Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.
Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.
Nature 568:511-516(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.-X., 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.-L., 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=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=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)

Cellosaurus cell line MDA-MB-453 (CVCL_0418) (2024)

FAQs

What is the doubling time of MDA MB 453? ›

Doubling time: 38 hours (PubMed=25984343); 68.8 hours (PubMed=9815641); ~50-60 hours (DSMZ=ACC-65); 62.49 hours (GrayJW panel).

What is the MDA cell line? ›

MDA MB 231 is a breast cancer cell line. This cell line was derived at M.D. Anderson in 1976 from a pleural effusion from a 31-year old woman with a history of breast cancer, hence here MDA stands for “M.D. Anderson and MB stands for Metastasis Breast cancer”.

What cell line is MDA-MB-231? ›

The MDA-MB-231 cell line (isolated at M D Anderson from a pleural effusion of a patient with invasive ductal carcinoma) is commonly used to model late-stage breast cancer. This cell line is ER, PR, and E-cadherin negative and expresses mutated p53.

What is the difference between MCF7 and MDA-MB-231 cell lines? ›

The MCF-7 cell line has functional estrogen and EGF receptors, is dependent on estrogen and EGF for growth, and is uninvasive, while MDA-MB-231 cells are a model for more aggressive, hormone-independent breast cancer. There was twice as much neutral glycolipid in MCF-7 cells as in MDA-MB-231 cells.

Is MDA-MB-453 triple negative? ›

The MDA-MB-453 cell line is androgen receptor-positive and `triple-negative' in respect to estrogen receptor-α, progesterone receptor and the Her-2/neu protein expression.

What is the doubling time of MDA MB 435? ›

Doubling time: 25.8 hours (NCI-DTP=MDA-MB-435); 38.72 hours (GrayJW panel).

What is the difference between MDA-MB-231 and MDA-MB-468? ›

Compared to MDA-MB-231 cells, MDA-MB-468 cells showed higher levels of mitochondrial depolarization, phosphatidylserine exposure, caspase activity, and loss of viability indicating increased drug susceptibility.

What is the full form of MDA MB? ›

MD Anderson-Metastatic Breast-231 Cells, MDA-MB231 Cells, MDA231-BRE Cells, MDAMB231 Cells.

What are the 4 cell lines? ›

Cells are classified in 4 different cell type categories based on overall morphology 1) Epithelial 2) Endothelial 3) Neuronal or 4) Fibroblast.

What is MDA-MB-468 cell line profile? ›

MDA-MB-468 is a cell line with epithelial morphology that was isolated from a pleural effusion of a 51-year-old Black female patient with metastatic adenocarcinoma of the breast. These cells have applications in breast cancer and immuno-oncology research.

What is MDA-MB-468 cell line subtype? ›

MDA-MB-468 is a triple-negative breast cancer(TNBC) cell line isolated from a pleural effusion of a female patient with metastatic adenocarcinoma of the breast. TNBC cell line has no expression of estrogen receptor (ER), progesterone receptor (PR), and enriched human epidermal growth factor receptor 2 (HER2).

What are MDA-MB-468 cells? ›

Cytotoxic/antiproliferative effects of chlorogenic acid on breast cancer cells
Cell lineCell line characteristics (tumor type, source, class)Receptor status
MDA-MB-468Adenocarcinoma, Pleural effusion, Basal ATriple negativea
BT-20Invasive ductal carcinoma, primary breast, Basal ATriple negativea
3 more rows

Do MDA-MB-231 cells express HER2? ›

Results indicate high HER2 surface expression by the breast cancer cell lines SKBR3 and BT474, and the SKOV3 ovarian cancer cell line. MDA-MB-231 cells express low levels of HER2.

How to culture MDA-MB-231 cells? ›

2D culture of MDA-MB-231 cell line
  1. Thaw MDA-MB-231 cryovial (with 1 mL of cells suspended in FBS with 10% DMSO) by placing rapidly in a water bath at 37°C. ...
  2. With a Pasteur pipette add the cell suspension to a falcon with 4 mL of supplemented DMEM, drop by drop. ...
  3. Centrifuge at 200 g for 5 min.
Aug 27, 2020

Are MCF-7 cells invasive? ›

It is ER-positive and progesterone receptor (PR)-positive (8) and belongs to the luminal A molecular subtype (2). MCF-7 is a poorly-aggressive and non-invasive cell line (9), normally being considered to have low metastatic potential (8).

What is the doubling time of MDA MB 415? ›

Doubling time: 88.87 hours (GrayJW panel).

How do you calculate doubling time? ›

Basically, you can find the doubling time (in years) by dividing 70 by the annual growth rate. Imagine that we have a population growing at a rate of 4% per year, which is a pretty high rate of growth. By the Rule of 70, we know that the doubling time (dt) is equal to 70 divided by the growth rate (r).

What is the doubling time of the MDA MB 468 cell line? ›

MDA-MB-468
Doubling time:ca. 30-40 hours
Harvest:cell harvest of ca. 15-20 x 106 cells/80 cm2
Storage:frozen with 70% medium, 20% FBS, 10% DMSO
DSMZ Scientific Data:
Mycoplasma:negative in microbiological culture, PCR assays
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What is the doubling time of MDA MB 134? ›

Doubling time: 6.4 days (PubMed=9671407); 82.67 hours (GrayJW panel).

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Name: Corie Satterfield

Birthday: 1992-08-19

Address: 850 Benjamin Bridge, Dickinsonchester, CO 68572-0542

Phone: +26813599986666

Job: Sales Manager

Hobby: Table tennis, Soapmaking, Flower arranging, amateur radio, Rock climbing, scrapbook, Horseback riding

Introduction: My name is Corie Satterfield, I am a fancy, perfect, spotless, quaint, fantastic, funny, lucky person who loves writing and wants to share my knowledge and understanding with you.