Dataset Information


MiRNA profiling by high-throughput sequencing of pancreatic adenocarcinoma (PDAC) xenografts

ABSTRACT: A Cartes d'Identit des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer ( Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. the MultiOmicClassification variable indicates groups resulting from the analysis, and the CIMPclass, the CpG Island Methylator Phenotype as estimated by the methylation analysis. This dataset, describes the miRNA-Seq data used in the multiOmics analysis.

INSTRUMENT(S): Qiagen MinElute, Illumina HiSeq 2000

ORGANISM(S): Homo sapiens  

DISEASE(S): Pancreatic Ductal Adenocarcinoma

SUBMITTER: Nabila Elarouci  

PROVIDER: E-MTAB-5018 | ArrayExpress | 2017-12-12



Dataset's files

Action DRS
E-MTAB-5018.idf.txt Idf
E-MTAB-5018.idf.txt_original Idf
E-MTAB-5018.sdrf.txt Txt
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