The Aurora and Polo-like kinases are central components of mitotic signaling pathways, and recent evidence suggests that substantial cross-talk exists between Aurora A and Plk1. In addition to their validation as novel anticancer agents, small molecule kinase inhibitors are increasingly important tools to help dissect clinically relevant protein phosphorylation networks. However, one major problem associated with kinase inhibitors is their promiscuity toward "off-target" members of the kinome, which makes interpretation of data obtained from complex cellular systems challenging. Additionally, the emergence of inhibitor resistance in patients makes it clear that an understanding of resistance mechanisms is essential to inform drug design. In this study, we exploited structural knowledge of the binding modes of VX-680, an Aurora kinase inhibitor, and BI 2536, a Polo-like kinase inhibitor, to design and evaluate drug-resistant kinase mutants. Using inducible stable human cell lines, we authenticated mitotic targets for both compounds and demonstrated that Aurora A mutants exhibit differential cellular sensitivity toward the inhibitors VX-680 and MLN8054. In addition, we validated Aurora B as an important anti-proliferative target for VX-680 in model human cancer cells. Finally, this chemical genetic approach allowed us to prove that Aurora A activation loop phosphorylation is controlled by a Plk1-mediated pathway in human cells.

Strand-specific RNA sequencing of S. pombe reveals a highly structured programme of ncRNA expression at over 600 loci. Functional investigations show that this extensive ncRNA landscape controls the complex programme of sexual differentiation in S. pombe.

BackgroundMost protein mass spectrometry (MS) experiments rely on searches against a database of known or predicted proteins, limiting their ability as a gene discovery tool.ResultsUsing a search against an in silico translation of the entire human genome, combined with a series of annotation filters, we identified 346 putative novel peptides [False Discovery Rate (FDR)<5%] in a MS dataset derived from two human breast epithelial cell lines. A subset of these were then successfully validated by a different MS technique. Two of these correspond to novel isoforms of Heterogeneous Ribonuclear Proteins, while the rest correspond to novel loci.ConclusionsMS technology can be used for ab initio gene discovery in human data, which, since it is based on different underlying assumptions, identifies protein-coding genes not found by other techniques. As MS technology continues to evolve, such approaches will become increasingly powerful.