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July 2017 Volume 18 Number 7 | Advertisement | ||||||||||||||||||||||||||||||||||||
In this issue Research Highlights Reviews Perspectives
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REVIEWS | Top | ||||||||||||||||||||||||||||||||||||
Article series: Disease mechanisms Functional variomics and network perturbation: connecting genotype to phenotype in cancer Song Yi, Shengda Lin, Yongsheng Li, Wei Zhao, Gordon B. Mills & Nidhi Sahni p395 | doi:10.1038/nrg.2017.8 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. Abstract | Full Text | PDF | Supplementary information | |||||||||||||||||||||||||||||||||||||
The evolutionary significance of polyploidy Yves Van de Peer, Eshchar Mizrachi & Kathleen Marchal p411 | doi:10.1038/nrg.2017.26 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. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
Article series: Applications of next-generation sequencing Comparative transcriptomics in human and mouse Alessandra Breschi, Thomas R. Gingeras & Roderic Guigó p425 | doi:10.1038/nrg.2017.19 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. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
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PERSPECTIVES | Top | ||||||||||||||||||||||||||||||||||||
OPINION Article series: Epigenetics Associating cellular epigenetic models with human phenotypes Tuuli Lappalainen & John M. Greally p441 | doi:10.1038/nrg.2017.32 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. Abstract | Full Text | PDF | |||||||||||||||||||||||||||||||||||||
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