Literature DB >> 34177338

MassBase: A large-scaled depository of mass spectrometry datasets for metabolome analysis.

Takeshi Ara1, Nozomu Sakurai1, Hideyuki Suzuki1, Koh Aoki1,2, Kazuki Saito1,3, Daisuke Shibata1,4.   

Abstract

Depository of low-molecular-weight compounds or metabolites detected in various organisms in a non-targeted manner is indispensable for metabolomics research. Due to the diverse chemical compounds, various mass spectrometry (MS) setups with state-of-the-art technologies have been used. Over the past two decades, we have analyzed various biological samples by using gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, or capillary electrophoresis-mass spectrometry, and archived the datasets in the depository MassBase (http://webs2.kazusa.or.jp/massbase/). As the format of MS datasets depends on the MS setup used, we converted each raw binary dataset of the mass chromatogram to text file format, and thereafter, information of the chromatograph peak was extracted in the text file from the converted file. In total, the depository comprises 46,493 datasets, of which 38,750 belong to the plant species and 7,743 are authentic or mixed chemicals as well as other sources (microorganisms, animals, and foods), as on August 1, 2020. All files in the depository can be downloaded in bulk from the website. Mass chromatograms of 90 plant species obtained by LC-Fourier transform ion cyclotron resonance MS or Orbitrap MS, which detect the ionized molecules with high accuracy allowing speculation of chemical compositions, were converted to text files by the software PowerGet, and the chemical annotation of each peak was added. The processed datasets were deposited in the annotation database KomicMarket2 (http://webs2.kazusa.or.jp/km2/). The archives provide fundamental resources for comparative metabolomics and functional genomics, which may result in deeper understanding of living organisms.
© 2021 Japanese Society for Plant Biotechnology.

Keywords:  database; mass spectrometry; metabolome

Year:  2021        PMID: 34177338      PMCID: PMC8215474          DOI: 10.5511/plantbiotechnology.20.0911a

Source DB:  PubMed          Journal:  Plant Biotechnol (Tokyo)        ISSN: 1342-4580            Impact factor:   1.133


  12 in total

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Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Akihiro Nakaya
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  KNApSAcK family databases: integrated metabolite-plant species databases for multifaceted plant research.

Authors:  Farit Mochamad Afendi; Taketo Okada; Mami Yamazaki; Aki Hirai-Morita; Yukiko Nakamura; Kensuke Nakamura; Shun Ikeda; Hiroki Takahashi; Md Altaf-Ul-Amin; Latifah K Darusman; Kazuki Saito; Shigehiko Kanaya
Journal:  Plant Cell Physiol       Date:  2011-11-28       Impact factor: 4.927

3.  MassBank: a public repository for sharing mass spectral data for life sciences.

Authors:  Hisayuki Horai; Masanori Arita; Shigehiko Kanaya; Yoshito Nihei; Tasuku Ikeda; Kazuhiro Suwa; Yuya Ojima; Kenichi Tanaka; Satoshi Tanaka; Ken Aoshima; Yoshiya Oda; Yuji Kakazu; Miyako Kusano; Takayuki Tohge; Fumio Matsuda; Yuji Sawada; Masami Yokota Hirai; Hiroki Nakanishi; Kazutaka Ikeda; Naoshige Akimoto; Takashi Maoka; Hiroki Takahashi; Takeshi Ara; Nozomu Sakurai; Hideyuki Suzuki; Daisuke Shibata; Steffen Neumann; Takashi Iida; Ken Tanaka; Kimito Funatsu; Fumito Matsuura; Tomoyoshi Soga; Ryo Taguchi; Kazuki Saito; Takaaki Nishioka
Journal:  J Mass Spectrom       Date:  2010-07       Impact factor: 1.982

4.  Metabolite profiling for plant functional genomics.

Authors:  O Fiehn; J Kopka; P Dörmann; T Altmann; R N Trethewey; L Willmitzer
Journal:  Nat Biotechnol       Date:  2000-11       Impact factor: 54.908

5.  Potential of metabolomics as a functional genomics tool.

Authors:  Raoul J Bino; Robert D Hall; Oliver Fiehn; Joachim Kopka; Kazuki Saito; John Draper; Basil J Nikolau; Pedro Mendes; Ute Roessner-Tunali; Michael H Beale; Richard N Trethewey; B Markus Lange; Eve Syrkin Wurtele; Lloyd W Sumner
Journal:  Trends Plant Sci       Date:  2004-09       Impact factor: 18.313

6.  Metabolomics as a Hypothesis-Generating Functional Genomics Tool for the Annotation of Arabidopsis thaliana Genes of "Unknown Function".

Authors:  Stephanie M Quanbeck; Libuse Brachova; Alexis A Campbell; Xin Guan; Ann Perera; Kun He; Seung Y Rhee; Preeti Bais; Julie A Dickerson; Philip Dixon; Gert Wohlgemuth; Oliver Fiehn; Lenore Barkan; Iris Lange; B Markus Lange; Insuk Lee; Diego Cortes; Carolina Salazar; Joel Shuman; Vladimir Shulaev; David V Huhman; Lloyd W Sumner; Mary R Roth; Ruth Welti; Hilal Ilarslan; Eve S Wurtele; Basil J Nikolau
Journal:  Front Plant Sci       Date:  2012-02-10       Impact factor: 5.753

7.  Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools.

Authors:  Manish Sud; Eoin Fahy; Dawn Cotter; Kenan Azam; Ilango Vadivelu; Charles Burant; Arthur Edison; Oliver Fiehn; Richard Higashi; K Sreekumaran Nair; Susan Sumner; Shankar Subramaniam
Journal:  Nucleic Acids Res       Date:  2015-10-13       Impact factor: 16.971

8.  Compliance with minimum information guidelines in public metabolomics repositories.

Authors:  Rachel A Spicer; Reza Salek; Christoph Steinbeck
Journal:  Sci Data       Date:  2017-09-26       Impact factor: 6.444

Review 9.  Global open data management in metabolomics.

Authors:  Kenneth Haug; Reza M Salek; Christoph Steinbeck
Journal:  Curr Opin Chem Biol       Date:  2017-01-13       Impact factor: 8.822

10.  Tools and databases of the KOMICS web portal for preprocessing, mining, and dissemination of metabolomics data.

Authors:  Nozomu Sakurai; Takeshi Ara; Mitsuo Enomoto; Takeshi Motegi; Yoshihiko Morishita; Atsushi Kurabayashi; Yoko Iijima; Yoshiyuki Ogata; Daisuke Nakajima; Hideyuki Suzuki; Daisuke Shibata
Journal:  Biomed Res Int       Date:  2014-04-09       Impact factor: 3.411

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  1 in total

1.  Development of RIKEN Plant Metabolome MetaDatabase.

Authors:  Atsushi Fukushima; Mikiko Takahashi; Hideki Nagasaki; Yusuke Aono; Makoto Kobayashi; Miyako Kusano; Kazuki Saito; Norio Kobayashi; Masanori Arita
Journal:  Plant Cell Physiol       Date:  2022-03-11       Impact factor: 4.927

  1 in total

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