NEW YORK (GenomeWeb News) – The National Cancer Institute today said that it has released a dataset of proteins and phosphopeptides identified by researchers using deep proteomic and phosphoproteomic methods to analyze breast cancer samples.
The dataset was generated by NCI's Clinical Proteomic Tumor Analysis Consortium, which included researchers from the Broad Institute, Fred Hutchinson Cancer Research Center, and Washington University of St. Louis. The investigators used iTRAQ protein quantification methods to develop the dataset of from 105 breast cancer samples.
The CPTAC researchers analyzed samples that had been previously genomically analyzed by the The Cancer Genome Atlas project. According to NCI, it is "largest-ever public dataset of proteins designed to complement deep genomic sequencing data on the same tumor."
"This dataset provides researchers the opportunity to develop and test novel proteogenomic integration tools and algorithms to extend our knowledge of the biological underpinnings of cancer," NCI said in a statement.
The dataset can be accessed through the CPTAC Data Portal.