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Review
. 2011 Oct;1(1):25-30.
doi: 10.1016/s2225-4110(16)30053-0.

Omics and integrated omics for the promotion of food and nutrition science

Hisanori Kato  1 , Shoko Takahashi  1 , Kenji Saito  1
Affiliations
Review

Omics and integrated omics for the promotion of food and nutrition science

Hisanori Kato et al. J Tradit Complement Med. 2011 Oct.

Abstract

Transcriptomics, proteomics, and metabolomics are three major platforms of comprehensive omics analysis in the science of food and complementary medicine. Other omics disciplines, including those of epigenetics and microRNA, are matters of increasing concern. The increased use of the omics approach in food science owes much to the recent advancement of technology and bioinformatic methodologies. Moreover, many researchers now put the combination of multiple omics analysis (integrated omics) into practice to exhaustively understand the functionality of food components. However, data analysis of integrated omics requires huge amount of work and high skill of data handling. A database of nutritional omics data was constructed by the authors, which should help food scientists to analyze their own omics data more effectively. In addition, a novel tool for the easy visualization of omics data was developed by the authors' group. The tool enables one to overview the changes of multiple omics in the KEGG pathway. Research in traditional and complementary medicine will be further facilitated by promoting the integrated omics research of food functionality. Such integrated research will only be possible with the effective collaboration of scientists with different backgrounds.

Keywords: Database; Metabolomics; Nutrigenomics; Proteomics; Transcriptomics.

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Figures

Figure 1
Figure 1
Snapshot of a result of Keggle analysis of transcriptome data Up- and down-regulated genes can be simultaneously viewed on multiple pathway maps of KEGG. Red and green boxes correspond to up- and down-regulated genes, respectively, following the mild caloric restriction in the rat liver (Saito et al. 2010).
Figure 2
Figure 2
The result of a Nutrigenomics Database search Nutritional manipulations or food factors that affect the expression of the cyp4a14 gene were searched using the transcriptome data in the database.
Figure 3
Figure 3
Functions of food and outputs of omics research
Figure 4
Figure 4
Combined visualization of transcriptome and metabolome data by Keggle Colored boxes and nodes show affected genes and metabolites, respectively, where red means up-regulation or increase and green means down-regulation or decrease.
See this image and copyright information in PMC

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