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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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jMorp: Japanese Multi Omics Reference Panel.

Shu Tadaka1,2, Daisuke Saigusa1,2, Ikuko N Motoike1,2,3

  • 1Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Miyagi 980-8575, Japan.

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Summary
This summary is machine-generated.

jMorp is a new database offering metabolome and proteome data from over 5000 healthy Japanese individuals. This resource provides valuable insights into human health through comprehensive molecular profiling.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Medical Science

Background:

  • Metabolomic and proteomic data are crucial for understanding human health.
  • Existing databases often lack standardized measurements or comprehensive health/genomic data.
  • There is a need for integrated, large-scale molecular datasets from well-characterized populations.

Purpose of the Study:

  • To develop and release jMorp, a novel database integrating plasma metabolome and proteome data.
  • To provide a resource with minimized measurement bias due to standardized protocols.
  • To facilitate the exploration of correlations between metabolites and proteins in a healthy population.

Main Methods:

  • Collected plasma samples from >5000 healthy Japanese volunteers.
  • Measured metabolome data using proton nuclear magnetic resonance (NMR) and liquid chromatography-mass spectrometry (LC-MS).
  • Quantified proteome data using nano liquid chromatography-mass spectrometry (nanoLC-MS).

Main Results:

  • Released concentration distributions for 37 NMR-identified metabolites.
  • Provided peak intensity distributions for 257 LC-MS-characterized metabolites.
  • Reported observed frequencies for 256 abundant proteins.
  • Developed an interactive network viewer for metabolite correlation analysis.

Conclusions:

  • jMorp offers a unique, large-scale, and high-quality resource for metabolomic and proteomic research.
  • The database enables the study of molecular correlations in a healthy population.
  • jMorp serves as a valuable tool for researchers in medical science, applied molecular biology, and biochemistry.