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2022/11/24

The Thing Metabolome Repository family (XMRs): comparable untargeted metabolome databases for analyzing sample-specific unknown metabolites

The Thing Metabolome Repository family (XMRs): comparable untargeted metabolome databases for analyzing sample-specific unknown metabolites

Nozomu Sakurai*†, Shinichi Yamazaki†, Kunihiro Suda, Ai Hosoki, Nayumi Akimoto, Haruya Takahashi, Daisuke Shibata and Yuichi Aoki*
* Corresponding authors† First authors

Nucleic Acids Research (Database Issue) 2022 November 24 DOI:10.1093/nar/gkac1058

Press release (In Japanese only)

The identification of unknown chemicals has emerged as a significant issue in untargeted metabolome analysis owing to the limited availability of purified standards for identification; this is a major bottleneck for the accumulation of reusable metabolome data in systems biology. Public resources for discovering and prioritizing the unknowns that should be subject to practical identification, as well as further detailed study of spending costs and the risks of misprediction, are lacking. As such a resource, we released databases, Food-, Plant-, and Thing- Metabolome Repository (http://metabolites.in/foods, http://metabolites.in/plants, and http://metabolites.in/things, referred to as XMRs) in which the sample-specific localization of unknowns detected by liquid chromatography–mass spectrometry in a wide variety of samples can be examined, helping to discover and prioritize the unknowns. A set of application programming interfaces for the XMRs facilitates the use of metabolome data for large-scale analysis and data mining. Several applications of XMRs, including integrated metabolome and genome analyses, are presented. Expanding the concept of XMRs will accelerate the identification of unknowns and increase the discovery of new knowledge.

Source: N. Sakurai et al., DOI: 10.1093/nar/gkac1058

FoodMR

PlantMR

ThingMR

Figure1
Figure1: The top page of the database
Figure1
Figure2: Metabolite and gene candidates found in the integrated metabolome and genome analysis.
Figure1
Figure3: Change of the contents profiles between immature soybeans and fermented soybeans
2022/11/02

Shiori Iida in Genome Dynamics Laboratory won the Student Presentation Award at the 60th Annual Meeting of the Biophysical Society of Japan

Shiori Iida

Shiori Iida , D3 student and SOKENDAI Special Researcher in Genome Dynamics Laboratory, received the Student Presentation Award at the 60th Annual Meeting of the Biophysical Society of Japan held in Hakodate, Japan, on September 28 – 30.

Awarded poster title:

 Single-nucleosome imaging reveals steady-state motion of interphase chromatin in living human cells

Award Winners’ list

The 60th Annual Meeting of the Biophysical Society of Japan

Genome Dynamics Laboratory

2022/11/01

New assistant professor joins NIG

New assistant professor joins NIG as of November 1, 2022.

KOSHIMIZU, Shizuka : Arita Group • Biological Networks Laboratory


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