Researchers used exome capture RNA sequencing to come up with a collection of circRNAs in dozens of cancer types, including proposed prostate cancer markers.
Researchers found that air pollution levels affected the expression of genes linked to cardio-metabolic and respiratory traits more than genetic ancestry.
Expression and copy number profiles from histologically normal duct tissue near tumors suggest a "field of cancerization" may exist in epithelial cells around cancer.
Using genomic data from large cancer cell line collections, investigators identified versions of spliced genes that spell better or worse drug response.
Called GA4GH Connect, it calls on the alliance's 500-plus members to develop new data sharing standards for use in major international genomic data initiatives.
The software, developed by researchers at the Ontario Institute for Cancer Research, uses machine learning methods to classify mutations as germline or somatic.
The initiatives are being funded with C$24 million over two years and will focus on acute leukemia, immuno-oncology, and brain, ovarian, and pancreatic cancer.
The University of Zurich's Ruedi Aebersold and his colleagues analyzed a dozen HeLa cell lines to find differences in gene expression, protein levels, and more.
