Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
The abundance and heterogeneity of mutations in cancer create challenges for understanding their effects, but such functional characterization will be crucial for optimizing clinical care. In this Review, the authors discuss diverse computational tools and systems biology experimental strategies for elucidating the functional effects of cancer mutations, including consequences on gene regulation, protein structure and local and global perturbations of molecular interaction networks.
Polyploidy occurs frequently but is usually detrimental to survival; thus, few polyploids survive in the long term. Here, evidence linking the short-term evolutionary success of polyploids to environmental upheaval is reviewed and possible longer-term evolutionary benefits of polyploidy are discussed.
Next-generation sequencing technologies have enabled the comprehensive characterization of human and mouse genomes, including at the transcriptional level. This article reviews the degree of conservation of human and mouse transcriptomes, along with the challenges of identifying when the mouse is a suitable model of human physiology.
Epigenome-wide association studies (EWAS) are potentially powerful approaches for identifying transcriptional regulatory perturbations (particularly DNA methylation) that associate with phenotypes of interest. In this Opinion article, Lappalainen and Greally provide their views on how to maximize the interpretability and biological insights from these associations, such as by hypothesis-driven consideration of cellular phenotypes, characterizing the roles of transcription factors, dissecting directions of causality and moving towards multi-omics profiling.
