Trans-Omics: How To Reconstruct Biochemical Networks Across Multiple 'Omic' Layers

Katsuyuki Yugi, Hiroyuki Kubota, Atsushi Hatano, Shinya Kuroda

    Research output: Contribution to journalReview articlepeer-review

    181 Citations (Scopus)

    Abstract

    We propose 'trans-omic' analysis for reconstructing global biochemical networks across multiple omic layers by use of both multi-omic measurements and computational data integration. We introduce technologies for connecting multi-omic data based on prior knowledge of biochemical interactions and characterize a biochemical trans-omic network by concepts of a static and dynamic nature. We introduce case studies of metabolism-centric trans-omic studies to show how to reconstruct a biochemical trans-omic network by connecting multi-omic data and how to analyze it in terms of the static and dynamic nature. We propose a trans-ome-wide association study (trans-OWAS) connecting phenotypes with trans-omic networks that reflect both genetic and environmental factors, which can characterize several complex lifestyle diseases as breakdowns in the trans-omic system.

    Original languageEnglish
    Pages (from-to)276-290
    Number of pages15
    JournalTrends in biotechnology
    Volume34
    Issue number4
    DOIs
    Publication statusPublished - Apr 1 2016

    All Science Journal Classification (ASJC) codes

    • Biotechnology
    • Bioengineering

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