Cellosaurus HuP-T4 (CVCL_1300)

Cell line name HuP-T4
Synonyms HUP-T4; HuPT4; HUPT4
Accession CVCL_1300
Resource Identification Initiative To cite this cell line use: HuP-T4 (RRID:CVCL_1300)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Part of: KuDOS 95 cell line panel.
Doubling time: ~38 hours (DSMZ).
Microsatellite instability: Stable (MSS) (Sanger).
Omics: Array-based CGH.
Omics: Deep exome analysis.
Omics: Deep RNAseq analysis.
Omics: DNA methylation analysis.
Omics: Metabolome analysis.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Disease Pancreatic adenocarcinoma (NCIt: C8294)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Male
Category Cancer cell line
STR profile Source(s): Cosmic-CLP; DSMZ; ECACC; PubMed=25877200

Markers:
AmelogeninX
CSF1PO10,12
D13S3178,9 (Cosmic-CLP; ECACC; PubMed=25877200)
8 (DSMZ)
D16S53910,11
D18S5118
D21S1129,32.2
D3S135815
D5S81810,11
D7S8208,11
D8S117911,16
FGA23,24,25
Penta D9
Penta E18,19
TH019
TPOX8
vWA17,18
Publications

PubMed=8454916; DOI=10.1007/BF02795197
Nishimura N., Saito S., Kubota Y., Moto-o N., Taguchi K., Yamazaki K., Watanabe A., Sasaki H.
Newly established human pancreatic carcinoma cell lines and their lectin binding properties.
Int. J. Pancreatol. 13:31-41(1993)

PubMed=15126341; DOI=10.1158/0008-5472.CAN-03-3159
Heidenblad M., Schoenmakers E.F.P.M., Jonson T., Gorunova L., Veltman J.A., van Kessel A.G., Hoglund M.
Genome-wide array-based comparative genomic hybridization reveals multiple amplification targets and novel homozygous deletions in pancreatic carcinoma cell lines.
Cancer Res. 64:3052-3059(2004)

PubMed=15688027; DOI=10.1038/sj.onc.1208383
Heidenblad M., Lindgren D., Veltman J.A., Jonson T., Mahlamaki E.H., Gorunova L., van Kessel A.G., Schoenmakers E.F.P.M., Hoglund M.
Microarray analyses reveal strong influence of DNA copy number alterations on the transcriptional patterns in pancreatic cancer: implications for the interpretation of genomic amplifications.
Oncogene 24:1794-1801(2005)

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=25167228; DOI=10.1038/bjc.2014.475
Hamidi H., Lu M., Chau K., Anderson L., Fejzo M., Ginther C., Linnartz R., Zubel A., Slamon D.J., Finn R.S.
KRAS mutational subtype and copy number predict in vitro response of human pancreatic cancer cell lines to MEK inhibition.
Br. J. Cancer 111:1788-1801(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=26216984; DOI=10.1073/pnas.1501605112
Daemen A., Peterson D., Sahu N., McCord R., Du X., Liu B., Kowanetz K., Hong R., Moffat J., Gao M., Boudreau A., Mroue R., Corson L., O'Brien T., Qing J., Sampath D., Merchant M., Yauch R., Manning G., Settleman J., Hatzivassiliou G., Evangelista M.
Metabolite profiling stratifies pancreatic ductal adenocarcinomas into subtypes with distinct sensitivities to metabolic inhibitors.
Proc. Natl. Acad. Sci. U.S.A. 112:E4410-E4417(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., 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-223
ECACC; 93121056
ICLC; HTL95006
Cell line databases/resources CLDB; cl1772
CLDB; cl1773
CLDB; cl1774
CCLE; HUPT4_PANCREAS
Cosmic-CLP; 907286
GDSC; 907286
IGRhCellID; HuPT4
LINCS_LDP; LCL-1791
Ontologies CLO; CLO_0004301
CLO; CLO_0004302
EFO; EFO_0002208
Biological sample resources BioSample; SAMN03472974
BioSample; SAMN03473381
Chemistry resources ChEMBL-Cells; CHEMBL3308815
ChEMBL-Targets; CHEMBL1075478
Gene expression databases GEO; GSM827185
GEO; GSM887152
GEO; GSM888224
GEO; GSM1374568
GEO; GSM1669923
Polymorphism and mutation databases Cosmic; 907286
Cosmic; 2434089