The CTD² Network and Cancer Systems Biology Consortium organized a virtual symposium series titled “Multidisciplinary Approaches to Understand Cancer Treatment Resistance”. Please join us on 11/16, 11/17, 12/2, 12/16, and 12/17. Click here to view the registration website.
Publications
New algorithm VIPER assesses protein activity and functional relevance of genetic alterations from TCGA gene expression data.
The CTD2 Network implemented a multi-Tier framework designed to substantiate the biological and biomedical relevance as well as the reproducibility of data and insights resulting from its collaborative activities.
Scientists at UCSF have developed a tool for expression quantitative trait loci (eQTL) network analysis. They identified significant differences in the networks of signaling pathways between mouse skin using eQTL and differential correlation analysis.
Acute leukemia cell sublines engineered to express individual CD33 splice variants, identify CD33 variants that lack exon 2 are not recognized by current CD33-directed therapeutics as potential target for future unconjugated or conjugated antibodies.
Researchers show fusing ligand-binding domains of nuclear receptors to split Cas9 protein fragments provide chemical control over split Cas9 activity and allowed tunable control with no significant background.
Researchers identified a set of hotspot mutations across 17 tumor types by considering numerous variables which has potential to serve as a resource for explicitly selecting targets for diagnosis, drug development, and patient management.
Researchers discuss RAF/MAPK signaling as an important therapeutic target in KRAS-mutant lung adenocarcinomas and pinpoint new potential targets.
Review describing the role of epithelial STAT3 in driving stromal remodelling and tumour tension.