Translational database selection and multiplexed sequence capture for up front filtering of reliable breast cancer biomarker candidates.

ABSTRACT: Biomarker identification is of utmost importance for the development of novel diagnostics and therapeutics. Here we make use of a translational database selection strategy, utilizing data from the Human Protein Atlas (HPA) on differentially expressed protein patterns in healthy and breast cancer tissues as a means to filter out potential biomarkers for underlying genetic causatives of the disease. DNA was isolated from ten breast cancer biopsies, and the protein coding and flanking non-coding genomic regions corresponding to the selected proteins were extracted in a multiplexed format from the samples using a single DNA sequence capture array. Deep sequencing revealed an even enrichment of the multiplexed samples and a great variation of genetic alterations in the tumors of the sampled ind

SUBMITTER: Stahl PL 

PROVIDER: S-EPMC3115972 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature