Literature DB >> 15613389

GMD@CSB.DB: the Golm Metabolome Database.

Joachim Kopka1, Nicolas Schauer, Stephan Krueger, Claudia Birkemeyer, Björn Usadel, Eveline Bergmüller, Peter Dörmann, Wolfram Weckwerth, Yves Gibon, Mark Stitt, Lothar Willmitzer, Alisdair R Fernie, Dirk Steinhauser.   

Abstract

UNLABELLED: Metabolomics, in particular gas chromatography-mass spectrometry (GC-MS) based metabolite profiling of biological extracts, is rapidly becoming one of the cornerstones of functional genomics and systems biology. Metabolite profiling has profound applications in discovering the mode of action of drugs or herbicides, and in unravelling the effect of altered gene expression on metabolism and organism performance in biotechnological applications. As such the technology needs to be available to many laboratories. For this, an open exchange of information is required, like that already achieved for transcript and protein data. One of the key-steps in metabolite profiling is the unambiguous identification of metabolites in highly complex metabolite preparations from biological samples. Collections of mass spectra, which comprise frequently observed metabolites of either known or unknown exact chemical structure, represent the most effective means to pool the identification efforts currently performed in many laboratories around the world. Here we present GMD, The Golm Metabolome Database, an open access metabolome database, which should enable these processes. GMD provides public access to custom mass spectral libraries, metabolite profiling experiments as well as additional information and tools, e.g. with regard to methods, spectral information or compounds. The main goal will be the representation of an exchange platform for experimental research activities and bioinformatics to develop and improve metabolomics by multidisciplinary cooperation. AVAILABILITY: http://csbdb.mpimp-golm.mpg.de/gmd.html CONTACT: Steinhauser@mpimp-golm.mpg.de SUPPLEMENTARY INFORMATION: http://csbdb.mpimp-golm.mpg.de/

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15613389     DOI: 10.1093/bioinformatics/bti236

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  451 in total

1.  On the discordance of metabolomics with proteomics and transcriptomics: coping with increasing complexity in logic, chemistry, and network interactions scientific correspondence.

Authors:  Alisdair R Fernie; Mark Stitt
Journal:  Plant Physiol       Date:  2012-01-17       Impact factor: 8.340

2.  Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry.

Authors:  Eric Chun Yong Chan; Kishore Kumar Pasikanti; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2011-09-08       Impact factor: 13.491

3.  Dynamic transcriptional and metabolic responses in yeast adapting to temperature stress.

Authors:  Katrin Strassburg; Dirk Walther; Hiroki Takahashi; Shigehiko Kanaya; Joachim Kopka
Journal:  OMICS       Date:  2010-06

Review 4.  Dealing with the unknown: metabolomics and metabolite atlases.

Authors:  Benjamin P Bowen; Trent R Northen
Journal:  J Am Soc Mass Spectrom       Date:  2010-04-12       Impact factor: 3.109

5.  Toward genome-wide metabolotyping and elucidation of metabolic system: metabolic profiling of large-scale bioresources.

Authors:  Masami Yokota Hirai; Yuji Sawada; Shigehiko Kanaya; Takashi Kuromori; Masatomo Kobayashi; Romy Klausnitzer; Kosuke Hanada; Kenji Akiyama; Tetsuya Sakurai; Kazuki Saito; Kazuo Shinozaki
Journal:  J Plant Res       Date:  2010-04-06       Impact factor: 2.629

6.  Combining genetic diversity, informatics and metabolomics to facilitate annotation of plant gene function.

Authors:  Takayuki Tohge; Alisdair R Fernie
Journal:  Nat Protoc       Date:  2010-06-10       Impact factor: 13.491

7.  The Role of Abscisic Acid Signaling in Maintaining the Metabolic Balance Required for Arabidopsis Growth under Nonstress Conditions.

Authors:  Takuya Yoshida; Toshihiro Obata; Regina Feil; John E Lunn; Yasunari Fujita; Kazuko Yamaguchi-Shinozaki; Alisdair R Fernie
Journal:  Plant Cell       Date:  2019-01-03       Impact factor: 11.277

8.  Mapping metabolic and transcript temporal switches during germination in rice highlights specific transcription factors and the role of RNA instability in the germination process.

Authors:  Katharine A Howell; Reena Narsai; Adam Carroll; Aneta Ivanova; Marc Lohse; Björn Usadel; A Harvey Millar; James Whelan
Journal:  Plant Physiol       Date:  2008-12-12       Impact factor: 8.340

9.  Elements required for an efficient NADP-malic enzyme type C4 photosynthesis.

Authors:  Yu Wang; Stephen P Long; Xin-Guang Zhu
Journal:  Plant Physiol       Date:  2014-02-12       Impact factor: 8.340

10.  The B-cell receptor controls fitness of MYC-driven lymphoma cells via GSK3β inhibition.

Authors:  Gabriele Varano; Simon Raffel; Martina Sormani; Federica Zanardi; Silvia Lonardi; Christin Zasada; Laura Perucho; Valentina Petrocelli; Andrea Haake; Albert K Lee; Mattia Bugatti; Ulrike Paul; Eelco Van Anken; Laura Pasqualucci; Raul Rabadan; Reiner Siebert; Stefan Kempa; Maurilio Ponzoni; Fabio Facchetti; Klaus Rajewsky; Stefano Casola
Journal:  Nature       Date:  2017-05-31       Impact factor: 49.962

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.