Literature DB >> 21050741

Metabolomics in systems microbiology.

Marshall Louis Reaves1, Joshua D Rabinowitz.   

Abstract

Because of the importance of microbes as model organisms, biotechnology tools, and contributors to mammalian and ecosystem metabolism, there has been longstanding interest in measuring their metabolite levels. Current metabolomic methods, involving mass spectrometry-based measurement of cell extracts, enable routine quantitation of most central metabolites. Metabolomics alone, however, is inadequate to understand cellular metabolic activity: Flux measurement and proteomic, genetic, and biochemical approaches with a metabolomics bent are all needed. Here we highlight examples where these integrated methods have contributed to discovery of metabolic pathways, regulatory interactions, and homeostasis mechanisms. We also indicate enduring challenges concerning unstable and low abundance compounds, subcellular compartmentalization, and quantitative amalgamation of different data types.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21050741      PMCID: PMC3035947          DOI: 10.1016/j.copbio.2010.10.001

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  50 in total

1.  Metabolomics approach for enzyme discovery.

Authors:  Natsumi Saito; Martin Robert; Sayaka Kitamura; Richard Baran; Tomoyoshi Soga; Hirotada Mori; Takaaki Nishioka; Masaru Tomita
Journal:  J Proteome Res       Date:  2006-08       Impact factor: 4.466

2.  Discovery metabolite profiling--forging functional connections between the proteome and metabolome.

Authors:  Alan Saghatelian; Benjamin F Cravatt
Journal:  Life Sci       Date:  2005-08-19       Impact factor: 5.037

3.  Extending the breadth of metabolite profiling by gas chromatography coupled to mass spectrometry.

Authors:  Oliver Fiehn
Journal:  Trends Analyt Chem       Date:  2008-03       Impact factor: 12.296

4.  In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data.

Authors:  J S Edwards; R U Ibarra; B O Palsson
Journal:  Nat Biotechnol       Date:  2001-02       Impact factor: 54.908

5.  Branched tricarboxylic acid metabolism in Plasmodium falciparum.

Authors:  Kellen L Olszewski; Michael W Mather; Joanne M Morrisey; Benjamin A Garcia; Akhil B Vaidya; Joshua D Rabinowitz; Manuel Llinás
Journal:  Nature       Date:  2010-08-05       Impact factor: 49.962

6.  High-throughput quantitative metabolomics: workflow for cultivation, quenching, and analysis of yeast in a multiwell format.

Authors:  Jennifer Christina Ewald; Stéphanie Heux; Nicola Zamboni
Journal:  Anal Chem       Date:  2009-05-01       Impact factor: 6.986

7.  Identification of an overabundant cholesterol precursor in hepatitis B virus replicating cells by untargeted lipid metabolite profiling.

Authors:  Mary A Rodgers; Alan Saghatelian; Priscilla L Yang
Journal:  J Am Chem Soc       Date:  2009-04-15       Impact factor: 15.419

8.  High-throughput classification of yeast mutants for functional genomics using metabolic footprinting.

Authors:  Jess Allen; Hazel M Davey; David Broadhurst; Jim K Heald; Jem J Rowland; Stephen G Oliver; Douglas B Kell
Journal:  Nat Biotechnol       Date:  2003-05-12       Impact factor: 54.908

9.  Systematic phenome analysis of Escherichia coli multiple-knockout mutants reveals hidden reactions in central carbon metabolism.

Authors:  Kenji Nakahigashi; Yoshihiro Toya; Nobuyoshi Ishii; Tomoyoshi Soga; Miki Hasegawa; Hisami Watanabe; Yuki Takai; Masayuki Honma; Hirotada Mori; Masaru Tomita
Journal:  Mol Syst Biol       Date:  2009-09-15       Impact factor: 11.429

10.  Control of ATP homeostasis during the respiro-fermentative transition in yeast.

Authors:  Thomas Walther; Maite Novo; Katrin Rössger; Fabien Létisse; Marie-Odile Loret; Jean-Charles Portais; Jean-Marie François
Journal:  Mol Syst Biol       Date:  2010-01-19       Impact factor: 11.429

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  40 in total

Review 1.  Rethinking glycolysis: on the biochemical logic of metabolic pathways.

Authors:  Arren Bar-Even; Avi Flamholz; Elad Noor; Ron Milo
Journal:  Nat Chem Biol       Date:  2012-05-17       Impact factor: 15.040

2.  Biological and chemical strategies for exploring inter- and intra-kingdom communication mediated via bacterial volatile signals.

Authors:  Mohamed A Farag; Geun Cheol Song; Yong-Soon Park; Bianca Audrain; Soohyun Lee; Jean-Marc Ghigo; Joseph W Kloepper; Choong-Min Ryu
Journal:  Nat Protoc       Date:  2017-06-15       Impact factor: 13.491

3.  Metabolic programming a lean phenotype by deregulation of RNA polymerase III.

Authors:  Ian M Willis; Robyn D Moir; Nouria Hernandez
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-14       Impact factor: 11.205

Review 4.  Chemical approaches to study metabolic networks.

Authors:  Daniel Medina-Cleghorn; Daniel K Nomura
Journal:  Pflugers Arch       Date:  2013-01-08       Impact factor: 3.657

5.  Central carbon metabolism in Mycobacterium tuberculosis: an unexpected frontier.

Authors:  Kyu Y Rhee; Luiz Pedro Sorio de Carvalho; Ruslana Bryk; Sabine Ehrt; Joeli Marrero; Sae Woong Park; Dirk Schnappinger; Aditya Venugopal; Carl Nathan
Journal:  Trends Microbiol       Date:  2011-05-10       Impact factor: 17.079

Review 6.  Promises and pitfalls of untargeted metabolomics.

Authors:  Ilya Gertsman; Bruce A Barshop
Journal:  J Inherit Metab Dis       Date:  2018-03-13       Impact factor: 4.982

7.  Exploring Metabolic Profile Differences between Colorectal Polyp Patients and Controls Using Seemingly Unrelated Regression.

Authors:  Chen Chen; Lingli Deng; Siwei Wei; G A Nagana Gowda; Haiwei Gu; Elena G Chiorean; Mohammad Abu Zaid; Marietta L Harrison; Joseph F Pekny; Patrick J Loehrer; Dabao Zhang; Min Zhang; Daniel Raftery
Journal:  J Proteome Res       Date:  2015-05-13       Impact factor: 4.466

Review 8.  Sum of the parts: mass spectrometry-based metabolomics.

Authors:  Stephen B Milne; Thomas P Mathews; David S Myers; Pavlina T Ivanova; H Alex Brown
Journal:  Biochemistry       Date:  2013-03-07       Impact factor: 3.162

9.  Biomarker Discovery and Translation in Metabolomics.

Authors:  G A Nagana Gowda; D Raftery
Journal:  Curr Metabolomics       Date:  2013

10.  Serum metabolomics analysis for early detection of colorectal cancer.

Authors:  Kazuhiko Uchiyama; Nobuaki Yagi; Katsura Mizushima; Yasuki Higashimura; Yasuko Hirai; Tetsuya Okayama; Naohisa Yoshida; Kazuhiro Katada; Kazuhiro Kamada; Osamu Handa; Takeshi Ishikawa; Tomohisa Takagi; Hideyuki Konishi; Yoshiaki Kuriu; Masayoshi Nakanishi; Eigo Otsuji; Yoshito Itoh; Yuji Naito
Journal:  J Gastroenterol       Date:  2016-09-20       Impact factor: 7.527

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