Literature DB >> 18367780

Current trends and future requirements for the mass spectrometric investigation of microbial, mammalian and plant metabolomes.

Warwick B Dunn1.   

Abstract

The functional levels of biological cells or organisms can be separated into the genome, transcriptome, proteome and metabolome. Of these the metabolome offers specific advantages to the investigation of the phenotype of biological systems. The investigation of the metabolome (metabolomics) has only recently appeared as a mainstream scientific discipline and is currently developing rapidly for the study of microbial, plant and mammalian metabolomes. The metabolome pipeline or workflow encompasses the processes of sample collection and preparation, collection of analytical data, raw data pre-processing, data analysis and data storage. Of these processes the collection of analytical data will be discussed in this review with specific interest shown in the application of mass spectrometry in the metabolomics pipeline. The current developments in mass spectrometry platforms (GC-MS, LC-MS, DIMS and imaging MS) and applications of specific interest will be highlighted. The current limitations of these platforms and applications will be discussed with areas requiring further development also highlighted. These include the detectable coverage of the metabolome, the identification of metabolites and the process of converting raw data to biological knowledge.

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Year:  2008        PMID: 18367780     DOI: 10.1088/1478-3975/5/1/011001

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  57 in total

Review 1.  Mass spectrometric imaging for biomedical tissue analysis.

Authors:  Kamila Chughtai; Ron M A Heeren
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

2.  Non-invasive metabolomic profiling of embryo culture media and morphology grading to predict implantation outcome in frozen-thawed embryo transfer cycles.

Authors:  Xiong Li; Yan Xu; Jing Fu; Wen-Bi Zhang; Su-Ying Liu; Xiao-Xi Sun
Journal:  J Assist Reprod Genet       Date:  2015-10-10       Impact factor: 3.412

Review 3.  Integrative systems biology: an attempt to describe a simple weed.

Authors:  Louisa M Liberman; Rosangela Sozzani; Philip N Benfey
Journal:  Curr Opin Plant Biol       Date:  2012-01-23       Impact factor: 7.834

4.  Small molecule metabolite extraction strategy for improving LC/MS detection of cancer cell metabolome.

Authors:  Kathryn D Sheikh; Shefali Khanna; Stephen W Byers; Albert Fornace; Amrita K Cheema
Journal:  J Biomol Tech       Date:  2011-04

5.  Proposal for field sampling of plants and processing in the lab for environmental metabolic fingerprinting.

Authors:  Tanja S Maier; Jürgen Kuhn; Caroline Müller
Journal:  Plant Methods       Date:  2010-01-29       Impact factor: 4.993

6.  Tradeoff between enzyme and metabolite efficiency maintains metabolic homeostasis upon perturbations in enzyme capacity.

Authors:  Sarah-Maria Fendt; Joerg Martin Buescher; Florian Rudroff; Paola Picotti; Nicola Zamboni; Uwe Sauer
Journal:  Mol Syst Biol       Date:  2010-04-13       Impact factor: 11.429

7.  In silico fragmentation for computer assisted identification of metabolite mass spectra.

Authors:  Sebastian Wolf; Stephan Schmidt; Matthias Müller-Hannemann; Steffen Neumann
Journal:  BMC Bioinformatics       Date:  2010-03-22       Impact factor: 3.169

8.  Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.

Authors:  J William Allwood; Alexander Erban; Sjaak de Koning; Warwick B Dunn; Alexander Luedemann; Arjen Lommen; Lorraine Kay; Ralf Löscher; Joachim Kopka; Royston Goodacre
Journal:  Metabolomics       Date:  2009-07-24       Impact factor: 4.290

9.  Metabolomics and its application for non-invasive embryo assessment in IVF.

Authors:  Lucy Botros; Denny Sakkas; Emre Seli
Journal:  Mol Hum Reprod       Date:  2008-12       Impact factor: 4.025

10.  Assessment of metabolome annotation quality: a method for evaluating the false discovery rate of elemental composition searches.

Authors:  Fumio Matsuda; Yoko Shinbo; Akira Oikawa; Masami Yokota Hirai; Oliver Fiehn; Shigehiko Kanaya; Kazuki Saito
Journal:  PLoS One       Date:  2009-10-16       Impact factor: 3.240

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