Cellosaurus DND-41 (CVCL_2022)

Cell line name DND-41
Synonyms DND 41; DND41; Dnd41
Accession CVCL_2022
Resource Identification Initiative To cite this cell line use: DND-41 (RRID:CVCL_2022)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Part of: ENCODE project common cell types; tier 3.
Doubling time: ~35 hours (DSMZ).
Microsatellite instability: Instable (MSI-high) (Sanger).
Omics: Deep exome analysis.
Omics: DNA methylation analysis.
Omics: H3K4me3 ChIP-seq epigenome analysis.
Omics: H3K79me2 ChIP-seq epigenome analysis.
Omics: H3K9ac ChIP-seq epigenome analysis.
Omics: H4K20me1 ChIP-seq epigenome analysis.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Derived from sampling site: Peripheral blood.
Disease Childhood T acute lymphoblastic leukemia (NCIt: C7953)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Male
Category Cancer cell line
STR profile Source(s): Cosmic-CLP; DSMZ

Markers:
AmelogeninX,Y
CSF1PO10,12
D13S31710,11
D16S53910,14
D5S81812,13
D7S8208,12
TH018,10
TPOX8,11
vWA15,16
Web pages http://genome.ucsc.edu/ENCODE/protocols/cell/human/Dnd41_Bernstein_protocol.pdf
Publications

PubMed=9933131; DOI=10.1016/S0145-2126(98)00133-7
Burger R., Hansen-Hagge T.E., Drexler H.G., Gramatzki M.
Heterogeneity of T-acute lymphoblastic leukemia (T-ALL) cell lines: suggestion for classification by immunophenotype and T-cell receptor studies.
Leuk. Res. 23:19-27(1999)

PubMed=10071127; DOI=10.1016/S0145-2126(98)00146-5
Kawamura M., Ohnishi H., Guo S.X., Sheng X.M., Minegishi M., Hanada R., Horibe K., Hongo T., Kaneko Y., Bessho F., Yanagisawa M., Sekiya T., Hayashi Y.
Alterations of the p53, p21, p16, p15 and RAS genes in childhood T-cell acute lymphoblastic leukemia.
Leuk. Res. 23:115-126(1999)

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.K., Yu 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., Winckler W., Reich M., Li N., 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., 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=22675565; DOI=10.1371/journal.pone.0038463
Kalender Atak Z., De Keersmaecker K., Gianfelici V., Geerdens E., Vandepoel R., Pauwels D., Porcu M., Lahortiga I., Brys V., Dirks W.G., Quentmeier H., Cloos J., Cuppens H., Uyttebroeck A., Vandenberghe P., Cools J., Aerts S.
High accuracy mutation detection in leukemia on a selected panel of cancer genes.
PLoS ONE 7:E38463-E38463(2012)

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., Cokelaer T., Greninger P., van Dyk E., Chang H., de Silva H., Heyn H., Deng X., Egan R.K., Liu Q., Mironenko T., Mitropoulos X., Richardson L., Wang J., Zhang T., 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)

Cross-references
Cell line collections DSMZ; ACC-525
NCBI_Iran; C183
Cell line databases/resources CCLE; DND41_HAEMATOPOIETIC_AND_LYMPHOID_TISSUE
Cosmic-CLP; 1297446
GDSC; 1297446
LINCS_LDP; LCL-1036
Ontologies EFO; EFO_0007074
Biological sample resources BioSample; SAMN03473521
ENCODE; ENCBS282AAA
ENCODE; ENCBS688JZQ
Gene expression databases GEO; GSM886986
GEO; GSM888055
GEO; GSM1669739
Polymorphism and mutation databases Cosmic; 721705
Cosmic; 801725
Cosmic; 913405
Cosmic; 933551
Cosmic; 944546
Cosmic; 998728
Cosmic; 1037686
Cosmic; 1115582
Cosmic; 1118466
Cosmic; 1151777
Cosmic; 1175127
Cosmic; 1224375
Cosmic; 1281366
Cosmic; 1330488
Cosmic; 1375579
Cosmic; 1524795
Cosmic; 1664514
Cosmic; 1641377
Cosmic; 1760521
Cosmic; 2165710
Cosmic; 2602912