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. 2018 Jan 4;46(D1):D551-D557.
doi: 10.1093/nar/gkx978.

jMorp: Japanese Multi Omics Reference Panel

Shu Tadaka  1   2 , Daisuke Saigusa  1   2 , Ikuko N Motoike  1   2   3 , Jin Inoue  1   2 , Yuichi Aoki  1   2   3 , Matsuyuki Shirota  1   2   3 , Seizo Koshiba  1   2 , Masayuki Yamamoto  1   2 , Kengo Kinoshita  1   3   4
Affiliations

jMorp: Japanese Multi Omics Reference Panel

Shu Tadaka et al. Nucleic Acids Res. .

Abstract

We developed jMorp, a new database containing metabolome and proteome data for plasma obtained from >5000 healthy Japanese volunteers from the Tohoku Medical Megabank Cohort Study, which is available at https://jmorp.megabank.tohoku.ac.jp. Metabolome data were measured by proton nuclear magnetic resonance (NMR) and liquid chromatography-mass spectrometry (LC-MS), while proteome data were obtained by nanoLC-MS. We released the concentration distributions of 37 metabolites identified by NMR, distributions of peak intensities of 257 characterized metabolites by LC-MS, and observed frequencies of 256 abundant proteins. Additionally, correlation networks for the metabolites can be observed using an interactive network viewer. Compared with some existing databases, jMorp has some unique features: (i) Metabolome data were obtained using a single protocol in a single institute, ensuring that measurement biases were significantly minimized; (ii) The database contains large-scale data for healthy volunteers with various health records and genome data and (iii) Correlations between metabolites can be easily observed using the graphical viewer. Metabolites data are becoming important intermediate markers for evaluating the health states of humans, and thus jMorp is an outstanding resource for a wide range of researchers, particularly those in the fields of medical science, applied molecular biology, and biochemistry.

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Figures

Figure 1.
Figure 1.
An example of metabolites search in jMorp. Thin red circles in (A), (B) and (C) indicate the link to the next step specified by gray arrows. (A) Search page. (B) Keyword search result. (C) Metabolite page for phenylalanine. The distribution plot of phenylalanine concentration and variation in concentration across age groups are shown. For this metabolite, variations among sex or age groups can be observed. Users can obtain information regarding this metabolite from HMDB or KEGG Compound. GWAS Manhattan plot and variation of concentration among genotypes at the most significant genomic variant relationship to the metabolites are shown. At the bottom of the compound page, correlations with other metabolites are listed. (D) A network viewer of correlation network among metabolites.
Figure 2.
Figure 2.
An example of protein search in jMorp. The thin red circles in (A), (B) and (C) indicate the link to the next step indicated by gray arrows. (A) Search page. (B) Keyword search result. (C) Protein page for apolipoprotein E. The detection rate of apolipoprotein E is shown. User can obtain information regarding this metabolite from the UniProt database. Detected peptide information for this protein is shown at the bottom of this page.
Figure 3.
Figure 3.
Change in the distributions of age and BMI of analyzed participants for each year. Distributions are shown for all (grey bars), male (blue bars) and female (red bars) samples, respectively.
See this image and copyright information in PMC

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