Researchers used exome capture RNA sequencing to come up with a collection of circRNAs in dozens of cancer types, including proposed prostate cancer markers.
In Genome Research this week: transcriptomic profiles of centenarians, role for PRDM9 expression in various tumor types, and more.
In Genome Biology this week: genome sequencing study of a wild cherry tree, transcriptomic analysis of a planarian model organism, and more.
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.
In Nucleic Acids Research this week: disease network resource, database of epigenetic consequences of de novo mutations, and more.
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.
Thermo Fisher Scientific says it will no longer sell machines in China's Xinjiang region, according to the Wall Street Journal.
New Scientist reports that 20 percent of human and yeast proteins are uncharacterized.
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.
In Nature this week: protein-coding variants associated with body-fat distribution, and more.