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Volume 28 Issue 10, October 2010

The painting Histone Subunit Exchange portrays the dynamic nature of nucleosome structure. This issue focuses on the role of epigenetics in health and disease and discusses the therapeutic prospects of targeting the epigenetic machinery. Credit: David Sweatt.

Editorial

  • The US Congress must authorize federal funding of human embryonic stem cell research.

    Editorial

    Advertisement

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News

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Data Page

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News Feature

  • Researchers are testing a slew of targeted therapeutic strategies in lung cancer. Signs are emerging that these therapies are gaining increasing traction in what has long been one of oncology's minefields. Malorye Allison investigates.

    • Malorye Allison
    News Feature
  • Genetic testing for rare heart conditions might someday expand to more common cardiac ailments. Already there are signs testing is dramatically changing how some conditions are treated and doctors' definition of who a patient is. Stephen Strauss reports.

    • Stephen Strauss
    News Feature
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Correspondence

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Commentary

  • When faced with a competitive threat, two companies took diametrically opposite approaches. Both were ultimately successful, but Genzyme's decision proved to be the cleaner and cheaper option.

    • Brady Huggett
    Commentary
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Patents

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News & Views

  • A noninvasive imaging method for predicting how human embryos will develop may improve the success and safety of in vitro fertilization.

    • Ann A Kiessling
    News & Views
  • Two comparative studies from the International Human Epigenome Project find high concordance between different methods for measuring genomic methylation.

    • Stephan Beck
    News & Views
  • A mass-spectrometry approach for identifying downstream events in cancer signaling pathways may help to tailor therapies to individual patients.

    • David B Solit
    • Ingo K Mellinghoff
    News & Views
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Research Highlights

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Editorial

  • High-throughput technologies are enabling epigenetic modifications to be mapped on a genome-wide scale, but whether such knowledge can be rapidly translated into biomedical applications remains unclear.

    Editorial
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Commentary

  • One of the biggest gaps in our knowledge about epigenomes is how their interplay with cellular signaling influences development, adult cellular differentiation and disease.

    • Helai P Mohammad
    • Stephen B Baylin
    Commentary
  • The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.

    • Bradley E Bernstein
    • John A Stamatoyannopoulos
    • James A Thomson
    Commentary
  • Epigenomics provides the context for understanding the function of genome sequence, analogous to the functional anatomy of the human body provided by Vesalius a half-millennium ago. Much of the seemingly inconclusive genetic data related to common diseases could therefore become meaningful in an epigenomic context.

    • Andrew P Feinberg
    Commentary
  • Comparative analysis of epigenomes offers new opportunities to understand cellular differentiation, mutation effects and disease processes. But the scale and heterogeneity of epigenetic data present numerous computational challenges.

    • Aleksandar Milosavljevic
    Commentary
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Review Article

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Analysis

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Article

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Letter

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Erratum

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Corrigendum

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Careers and Recruitment

  • A doctor-turned-portfolio manager finds the ever-changing economic and business environment stimulating.

    • David Sable
    Careers and Recruitment
  • Careers and Recruitment
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Collections

  • Recent years have seen an explosive increase in our knowledge of such epigenetic mechanisms as chromatin remodeling and DNA methylation in development and disease. This focus issue discusses the current state of the field and how current insights can be translated into practical applications.

    Focus
  • Articles from Nature Biotechnology and The Pharmacogenomics Journal that explore best practices for developing and validating predictive models based on data from gene expression and genotyping microarrays. These report the second phase of a collaboration between industry, academic and government researchers as part of the MicroArray Quality Control (MAQC) consortium.

    Focus
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