Cellosaurus cell line 786-O (CVCL_1051) (2024)

Publications

PubMed=1010528; DOI=10.1007/BF02797460
Williams R.D., Elliott A.Y., Stein N., Fraley E.E.
In vitro cultivation of human renal cell cancer. I. Establishment of cells in culture.
In Vitro 12:623-627(1976)

PubMed=721102; DOI=10.1007/BF02617972
Williams R.D., Elliott A.Y., Stein N., Fraley E.E.
In vitro cultivation of human renal cell cancer. II. Characterization of cell lines.
In Vitro 14:779-786(1978)

PubMed=6244232
Williams R.D.
Human urologic cancer cell lines.
Invest. Urol. 17:359-363(1980)

PubMed=2041050; DOI=10.1093/jnci/83.11.757
Monks A., Scudiero D.A., Skehan P., Shoemaker R.H., Paull K.D., Vistica D.T., Hose C.D., Langley J., Cronise P., Vaigro-Wolff A., Gray-Goodrich M., Campbell H., Mayo J.G., Boyd M.R.
Feasibility of a high-flux anticancer drug screen using a diverse panel of cultured human tumor cell lines.
J. Natl. Cancer Inst. 83:757-766(1991)

PubMed=7915601; DOI=10.1038/ng0594-85
Gnarra J.R., Tory K., Weng Y., Schmidt L.S., Wei M.H., Li H., Latif F., Liu S., Chen F., Duh F.-M., Lubensky I.A., Duan D.R., Florence C., Pozzatti R., Walther M.M., Bander N.H., Grossman H.B., Brauch H., Pomer S., Brooks J.D., Isaacs W.B., Lerman M.I., Zbar B., Linehan W.M.
Mutations of the VHL tumour suppressor gene in renal carcinoma.
Nat. Genet. 7:85-90(1994)

PubMed=10700174; DOI=10.1038/73432
Ross D.T., Scherf U., Eisen M.B., Perou C.M., Rees C., Spellman P.T., Iyer V.R., Jeffrey S.S., van de Rijn M., Waltham M.C., Pergamenschikov A., Lee J.C.F., Lashkari D., Shalon D., Myers T.G., Weinstein J.N., Botstein D., Brown P.O.
Systematic variation in gene expression patterns in human cancer cell lines.
Nat. Genet. 24:227-235(2000)

PubMed=15585611; DOI=10.1158/1078-0432.CCR-04-0072
Tykodi S.S., Warren E.H., Thompson J.A., Riddell S.R., Childs R.W., Otterud B.E., Leppert M.F., Storb R., Sandmaier B.M.
Allogeneic hematopoietic cell transplantation for metastatic renal cell carcinoma after nonmyeloablative conditioning: toxicity, clinical response, and immunological response to minor histocompatibility antigens.
Clin. Cancer Res. 10:7799-7811(2004)

PubMed=15748285; DOI=10.1186/1479-5876-3-11
Adams S., Robbins F.-M., Chen D., Wagage D., Holbeck S.L., Morse H.C. III, Stroncek D., Marincola F.M.
HLA class I and II genotype of the NCI-60 cell lines.
J. Transl. Med. 3:11.1-11.8(2005)

PubMed=17088437; DOI=10.1158/1535-7163.MCT-06-0433
Ikediobi O.N., Davies H., Bignell G.R., Edkins S., Stevens C., O'Meara S., Santarius T., Avis T., Barthorpe S., Brackenbury L., Buck G., Butler A.P., Clements J., Cole J., Dicks E., Forbes S., Gray K., Halliday K., Harrison R., Hills K., Hinton J., Hunter C., Jenkinson A., Jones D., Kosmidou V., Lugg R., Menzies A., Mironenko T., Parker A., Perry J., Raine K.M., Richardson D., Shepherd R., Small A., Smith R., Solomon H., Stephens P.J., Teague J.W., Tofts C., Varian J., Webb T., West S., Widaa S., Yates A., Reinhold W.C., Weinstein J.N., Stratton M.R., Futreal P.A., Wooster R.
Mutation analysis of 24 known cancer genes in the NCI-60 cell line set.
Mol. Cancer Ther. 5:2606-2612(2006)

PubMed=19372543; DOI=10.1158/1535-7163.MCT-08-0921
Lorenzi P.L., Reinhold W.C., Varma S., Hutchinson A.A., Pommier Y., Chanock S.J., Weinstein J.N.
DNA fingerprinting of the NCI-60 cell line panel.
Mol. Cancer Ther. 8:713-724(2009)

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=22068913; DOI=10.1073/pnas.1111840108
Gillet J.-P., Calcagno A.M., Varma S., Marino M., Green L.J., Vora M.I., Patel C., Orina J.N., Eliseeva T.A., Singal V., Padmanabhan R., Davidson B., Ganapathi R., Sood A.K., Rueda B.R., Ambudkar S.V., Gottesman M.M.
Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance.
Proc. Natl. Acad. Sci. U.S.A. 108:18708-18713(2011)

PubMed=22347499; DOI=10.1371/journal.pone.0031628
Ruan X.-Y., Kocher J.-P.A., Pommier Y., Liu H.-F., Reinhold W.C.
Mass hom*ozygotes accumulation in the NCI-60 cancer cell lines as compared to HapMap trios, and relation to fragile site location.
PLoS ONE 7:E31628-E31628(2012)

PubMed=22384151; DOI=10.1371/journal.pone.0032096
Lee J.-S., Kim Y.K., Kim H.J., Hajar S., Tan Y.L., Kang N.-Y., Ng S.H., Yoon C.N., Chang Y.-T.
Identification of cancer cell-line origins using fluorescence image-based phenomic screening.
PLoS ONE 7:E32096-E32096(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=22628656; DOI=10.1126/science.1218595
Jain M., Nilsson R., Sharma S., Madhusudhan N., Kitami T., Souza A.L., Kafri R., Kirschner M.W., Clish C.B., Mootha V.K.
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation.
Science 336:1040-1044(2012)

PubMed=22949125; DOI=10.1002/ijc.27822
Pawlowski R., Muhl S.M., Sulser T., Krek W., Moch H., Schraml P.
Loss of PBRM1 expression is associated with renal cell carcinoma progression.
Int. J. Cancer 132:E11-E17(2013)

PubMed=23856246; DOI=10.1158/0008-5472.CAN-12-3342
Abaan O.D., Polley E.C., Davis S.R., Zhu Y.-L.J., Bilke S., Walker R.L., Pineda M.A., Gindin Y., Jiang Y., Reinhold W.C., Holbeck S.L., Simon R.M., Doroshow J.H., Pommier Y., Meltzer P.S.
The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology.
Cancer Res. 73:4372-4382(2013)

PubMed=23933261; DOI=10.1016/j.celrep.2013.07.018
Moghaddas Gholami A., Hahne H., Wu Z.-X., Auer F.J., Meng C., Wilhelm M., Kuster B.
Global proteome analysis of the NCI-60 cell line panel.
Cell Rep. 4:609-620(2013)

PubMed=24279929; DOI=10.1186/2049-3002-1-20
Dolfi S.C., Chan L.L.-Y., Qiu J., Tedeschi P.M., Bertino J.R., Hirshfield K.M., Oltvai Z.N., Vazquez A.
The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.
Cancer Metab. 1:20.1-20.13(2013)

PubMed=24670534; DOI=10.1371/journal.pone.0092047
Varma S., Pommier Y., Sunshine M., Weinstein J.N., Reinhold W.C.
High resolution copy number variation data in the NCI-60 cancer cell lines from whole genome microarrays accessible through CellMiner.
PLoS ONE 9:E92047-E92047(2014)

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=25894527; DOI=10.1371/journal.pone.0121314
Bausch-Fluck D., Hofmann A., Bock T., Frei A.P., Cerciello F., Jacobs A., Moest H., Omasits U., Gundry R.L., Yoon C., Schiess R., Schmidt A., Mirkowska P., Hartlova A.S., Van Eyk J.E., Bourquin J.-P., Aebersold R., Boheler K.R., Zandstra P.W., Wollscheid B.
A mass spectrometric-derived cell surface protein atlas.
PLoS ONE 10:E0121314-E0121314(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=26972028; DOI=10.1016/j.jprot.2016.03.008
Masuishi Y., Kimura Y., Arakawa N., Hirano H.
Identification of glycosylphosphatidylinositol-anchored proteins and omega-sites using TiO2-based affinity purification followed by hydrogen fluoride treatment.
J. Proteomics 139:77-83(2016)

PubMed=27141528; DOI=10.1016/j.dib.2016.04.001
Masuishi Y., Kimura Y., Arakawa N., Hirano H.
Data for identification of GPI-anchored peptides and omega-sites in cancer cell lines.
Data Brief 7:1302-1305(2016)

PubMed=27377824; DOI=10.1038/sdata.2016.52
Mestdagh P., Lefever S., Volders P.-J., Derveaux S., Hellemans J., Vandesompele J.
Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR.
Sci. Data 3:160052-160052(2016)

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=27807467; DOI=10.1186/s13100-016-0078-4
Zampella J.G., Rodic N., Yang W.R., Huang C.R.L., Welch J., Gnanakkan V.P., Cornish T.C., Boeke J.D., Burns K.H.
A map of mobile DNA insertions in the NCI-60 human cancer cell panel.
Mob. DNA 7:20.1-20.11(2016)

PubMed=27993170; DOI=10.1186/s12943-016-0565-8
Brodaczewska K.K., Szczylik C., Fiedorowicz M., Porta C., Czarnecka A.M.
Choosing the right cell line for renal cell cancer research.
Mol. Cancer 15:83.1-83.15(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=28489074; DOI=10.1038/ncomms15165
Sinha R., Winer A.G., Chevinsky M., Jakubowski C., Chen Y.-B., Dong Y.-Y., Tickoo S.K., Reuter V.E., Russo P., Coleman J.A., Sander C., Hsieh J.J.-D., Hakimi A.A.
Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection.
Nat. Commun. 8:15165.1-15165.10(2017)

PubMed=30260228; DOI=10.1021/acs.jproteome.8b00538
Knott M.E., Manzi M., Zabalegui N., Salazar M.O., Puricelli L.I., Monge M.E.
Metabolic footprinting of a clear cell renal cell carcinoma in vitro model for human kidney cancer detection.
J. Proteome Res. 17:3877-3888(2018)

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=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=31267758; DOI=10.2217/fon-2019-0067
Nogueira I., Dias F., Morais M., Teixeira A.L., Medeiros R.
Everolimus resistance in clear cell renal cell carcinoma: miRNA-101 and HIF-2alpha as molecular triggers?
Future Oncol. 15:2361-2370(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 786-O (CVCL_1051) (2024)

FAQs

What is the doubling time for 786 0 cell line? ›

Part of: NCI-60 cancer cell line panel. Population: Caucasian. Doubling time: 45 hours (PubMed=721102); 24 hours (PubMed=25984343); ~24 hours (CLS=300107); 22.4 hours (NCI-DTP=786-0).

How do you authenticate cell lines? ›

Human cell lines can be identified by existing multiplex polymerase chain reaction (PCR) assays that target short tandem repeat (STR) markers in DNA that are used as fingerprints for authentication.

What is the passage number of a cell line? ›

The degree of subculturing a cell line has undergone is often expressed as “passage number,” which can generally be thought of as the number of times cells have been transferred from vessel-to-vessel. A growing body of literature demonstrates passage number affects a cell line's characteristics over time.

How do I know what cell line to use? ›

Your choice of cell line will almost certainly be most dependent on the question or problem you're trying to solve. If you're studying a particular disease state then the more closely the cell line exemplifies this disease the better. And even within disease types, careful selection is key.

How do I check my cell doubling time? ›

Three (3) days later, you count 16 × 106 cells.
  1. Xb = 2 × 106
  2. T = 3 days.
  3. Xe = 16 × 106 Doubling Time = [ 3 × (ln2) ] / [ ln(16,000,000 / 2,000,000) ] = [ 3 × (0.69) ] / [ ln(8) ] = 2.08 / 2.08 = 1 day.
Dec 29, 2023

How do you calculate doubling time? ›

The Rule of 70 is a simplified way of determining the doubling time using the equation, doubling time = 70 / r , where r is the rate of growth for a population in percent. For example, if a population of 10 species were growing by two individuals a year, the r value would be 20%.

How many times can you passage a cell line? ›

In comparison, a continuous cell line, e.g. derived from a human cancer, can be passaged an infinite number of times. After prolonged passaging the difference in phenotype over 10 passages is likely to be much less than the difference between the first 10 passages of primary cells.

How many cell passages is too many? ›

Practically speaking, cell passages should be limited to prevent population and genetic drift, and ideally, experiments performed with similar passage numbers. There is no defined maximum number of passages you should perform for a cell line, but it is highly recommended to keep passage numbers low.

When to stop passaging cells? ›

If your experimental schedule does not fit the routine subculture schedule, make sure that you do not passage your cells while they are still in the lag period or when they have reached confluency and ceased growing.

What is the most commonly used cell line? ›

Number 1: HeLa Cells

Shortly after the establishment of this cell line, HeLa cells were used to proliferate the famous polio vaccine, and they continue to be the most widely used cell line in research labs worldwide.

What makes a good cell line? ›

Contamination can alter cell biology and interfere with experimental results. Make sure to source cell stocks from trusted suppliers with verified Mycoplasma-free cell lines. Additionally, it is a good practice to culture cells in a clean and quarantined environment.

What are the three types of cell lines? ›

Cell lines can be roughly classified into three groups, namely (i) finite cell lines, (ii) continuous cell lines, also known as immortalized or indefinite cell lines, and (iii) stem cell lines [2]. Finite cell lines are normally derived from primary cultures and have slow growth rates.

What is the doubling time of melanoma cell line? ›

The population doubling time of melanoma cell lines was longest with Malme-3M (23.1 ± 5.3 h), and shortest with SK-MEL-3 and SK-MEL-28 (17.4 ± 4.4 h, 17.5 ± 5.6 h, respectively) (Table 1).

What is the doubling time of the zr751 cell line? ›

Email
Mfr.No.300163
Doubling Time80 hours
SterilityMycoplasma contamination was excluded through PCR-based and luminescence-based mycoplasma assays. Bacterial or fungal contaminations are detected through daily visual cell monitoring.
27 more rows

What is the doubling time of the oe19 cell line? ›

Doubling time: ~50-60 hours (DSMZ=ACC-700).

What are 786 O cells? ›

The 786-O cell line, derived from a primary tumor of a 58-year-old male patient with renal adenocarcinoma, provides an excellent model for investigating cell signaling and molecular biology in the context of renal cell carcinoma (RCC).

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