TY - JOUR
T1 - Trans-Omics
T2 - How To Reconstruct Biochemical Networks Across Multiple 'Omic' Layers
AU - Yugi, Katsuyuki
AU - Kubota, Hiroyuki
AU - Hatano, Atsushi
AU - Kuroda, Shinya
N1 - Funding Information:
We thank Yibo Wu (Department of Biology, Institute of Molecular Systems Biology, ETH Zurich) for critically reading this manuscript. This work was supported by the Creation of Fundamental Technologies for Understanding and Control of Biosystem Dynamics, CREST, from the Japan Science and Technology Agency (JST), by a Human Frontier Science Project (HFSP) grant (RGP0061/2011), and by a grant from Japan Diabetes Foundation. K.Y. (Yugi) receives funding from a Grant-in-Aid for Young Scientists (A) (15H05582) from the Japan Society for the Promotion of Science, and ‘Creation of Innovative Technology for Medical Applications Based on the Global Analyses and Regulation of Disease-Related Metabolites’, PRESTO, from JST. H.K. (Kubota) receives funding from a Grant-in-Aid for Scientific Research on Innovative Areas (25117712) from MEXT, and ‘Elucidation and regulation in the dynamic maintenance and transfiguration of homeostasis in living body’, PRESTO, from JST.
Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - 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.
AB - 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.
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U2 - 10.1016/j.tibtech.2015.12.013
DO - 10.1016/j.tibtech.2015.12.013
M3 - Review article
C2 - 26806111
AN - SCOPUS:84956858710
SN - 0167-7799
VL - 34
SP - 276
EP - 290
JO - Trends in Biotechnology
JF - Trends in Biotechnology
IS - 4
ER -