Unknown

Dataset Information

Transcription profiling by array of human infiltrating ductal carcinomas of the breast


ABSTRACT: Introduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). This integrated analysis permits the identification of genes with altered expression that map within specific chromosomal regions that demonstrate copy number alterations, providing a mechanistic approach to identify the 'driver genes’. Methods: We have performed whole genome analysis of CNAs using the Affymetrix 250K Mapping array on 22 infiltrating ductal carcinoma samples (IDCs). Anal

ORGANISM(S): Homo sapiens

SUBMITTER: Hawthorn L 

PROVIDER: S-ECPF-GEOD-22544 | biostudies-other | 2010

REPOSITORIES: biostudies-other

Similar Datasets