Stephen E. Kurtz

TL;DR: Analyses of samples from patients with acute myeloid leukaemia reveal that drug response is associated with mutational status and gene expression; the generated dataset provides a basis for future clinical and functional studies of this disease.

TL;DR: A genetic approach was used to identify genes whose inactivation contributes to drug resistance as a means of forming preferred drug combinations to improve AML treatment and suggest strategies to overcome resistance.

TL;DR: The SUPREME-DM DataLink is a unique resource that provides an opportunity to conduct comparative effectiveness research, epidemiologic surveillance including longitudinal analyses, and population-based care management studies of people with diabetes and provides a useful data source for pragmatic clinical trials of prevention or treatment interventions.

TL;DR: A framework is described for this expanded list of cancer targets, providing novel opportunities for clinical translation and indicating that the diversity of therapeutic targets engendered by non-oncogene dependencies is much larger than the list of recurrently mutated genes.

TL;DR: Analysis of RNAs isolated from the yeast Saccharomyces cerevisiae reveals a dramatic series of changes in protein coding sequences during sporulation, which are unique to sporulating cells.