Array CGH analysis for 29 pancreatic ductal adenocarcinoma (PDAC) samples

ABSTRACT: Background/Aims: Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes. Methods: We analysed a total of 29 pancreatic ductal adenocarcinoma (PDAC) samples (six cell lines and 23 microdissected tissue specimens) using 1 Mb-spaced CGH arrays. The transcript levels of all genes within the identified regions of genetic alterations were then screened using our Pancreatic Expression Database. Results: In addition to 238 high-level amplifications and 35 homozygous deletions, we identified 315 minimal common regions of “n

ORGANISM(S): Homo sapiens

SUBMITTER: Tomohiko Harada 

PROVIDER: E-GEOD-9672 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress