BSE Researchers recently published two studies that will help oncologists more precisely understand the state of their patients’ disease or their risk for cancer relapse. As with many diseases, cancer can be challenging to predict and in some cases, impossible to treat. This work, however, is pushing the boundaries of how science and artificial intelligence (AI) can be used to better understand the risks and outcomes of cancer in human health.
In a pair of recently published papers, members of the Biomedical Data Translator Consortium detailed new features, functionality, and applications of the Translator system and its underlying data model, the Biolink Model.
Researchers at Arizona State University’s Biodesign Institute conducted the first systematic study of Holliday junctions—the nexus of two segments of double-stranded DNA—using crystallography techniques performed at the Advanced Light Source, the Argonne Photon Source, and the National Synchrotron Light Source II.
Scientists have designed a new material system to overcome one of the biggest challenges in recycling consumer products: mixed-plastic recycling. Their achievement will help enable a much broader range of fully recyclable plastic products and brings into reach an efficient circular economy for durable goods like automobiles.
Using RIViT-seq technology, which combines an in vitro transcription assay with RNA sequencing, researchers identified the target genes of 11 sigma factors in Streptomyces coelicolor. The work, published in Nature Communications, was conducted by Joint Genome Institute (JGI) Director Nigel Mouncey and research scientist Hiroshi Otani. Both are members of the JGI’s Secondary Metabolite Science Program, which Mouncey leads. Transcription factors control when and how genes are turned on or off, making transcriptional regulation critical as it ensures those genes vital for growth and survival across various environments are expressed when their functions are needed. Learn more on the JGI website.