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Showing 1–7 of 7 results
Advanced filters: Author: Rob W. Ness Clear advanced filters

  • Temporal multi-omic analysis of tissues from rats undergoing up to eight weeks of endurance exercise training reveals widespread shared, tissue-specific and sex-specific changes, including immune, metabolic, stress response and mitochondrial pathways.

    • David Amar
    • Nicole R. Gay
    • Elena Volpi
    ResearchOpen Access
    Nature
    Volume: 629, P: 174-183

  • Stig Bojesen, Georgia Chenevix-Trench, Alison Dunning and colleagues report common variants at the TERT-CLPTM1L locus associated with mean telomere length measured in whole blood. They also identify associations at this locus to breast or ovarian cancer susceptibility and report functional studies in breast and ovarian cancer tissue and cell lines.

    • Stig E Bojesen
    • Karen A Pooley
    • Alison M Dunning
    Research
    Nature Genetics
    Volume: 45, P: 371-384

  • Paul Pharoah and colleagues report the results of a large genome-wide association study of ovarian cancer. They identify new susceptibility loci for different epithelial ovarian cancer histotypes and use integrated analyses of genes and regulatory features at each locus to predict candidate susceptibility genes, including OBFC1.

    • Catherine M Phelan
    • Karoline B Kuchenbaecker
    • Paul D P Pharoah
    Research
    Nature Genetics
    Volume: 49, P: 680-691

  • Pollution in urban areas causes higher rates of mutation than in unpolluted areas. This Perspective discusses the effects of these mutations on the health, evolutionary fitness and ecology of urban organisms.

    • Marc T. J. Johnson
    • Irtaqa Arif
    • Kristin M. Winchell
    Reviews
    Nature Ecology & Evolution
    Volume: 8, P: 1074-1086

  • The imminent release of tissue atlases combining multichannel microscopy with single-cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards to guide data deposition, curation and release. We describe a Minimum Information about Highly Multiplexed Tissue Imaging (MITI) standard that applies best practices developed for genomics and for other microscopy data to highly multiplexed tissue images and traditional histology.

    • Denis Schapiro
    • Clarence Yapp
    • Peter K. Sorger
    Comments & Opinion
    Nature Methods
    Volume: 19, P: 262-267