Literature DB >> 16772265

Review: on the analysis and interpretation of correlations in metabolomic data.

Ralf Steuer1.   

Abstract

A remarkable inherent feature of cellular metabolism is that the concentrations of a small but significant number of metabolites are strongly correlated when measurements of biological replicates are performed. This review seeks to summarize the recent efforts to elucidate the origin of these observed correlations and points out several aspects concerning their interpretation. It is argued that correlations between metabolites differ profoundly from their transcriptomic and proteomic counterparts, and a straightforward interpretation in terms of the underlying biochemical pathways will unavoidably fail. It is demonstrated that the comparative correlations analysis offers a way to exploit the observed correlations to obtain additional information about the physiological state of the system.

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Year:  2006        PMID: 16772265     DOI: 10.1093/bib/bbl009

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  78 in total

1.  Between Metabolite Relationships: an essential aspect of metabolic change.

Authors:  Jeroen J Jansen; Ewa Szymańska; Huub C J Hoefsloot; Doris M Jacobs; Katrin Strassburg; Age K Smilde
Journal:  Metabolomics       Date:  2011-05-24       Impact factor: 4.290

2.  Development of a malignancy-associated proteomic signature for diffuse large B-cell lymphoma.

Authors:  Paul B Romesser; David H Perlman; Douglas V Faller; Catherine E Costello; Mark E McComb; Gerald V Denis
Journal:  Am J Pathol       Date:  2009-06-04       Impact factor: 4.307

3.  Central Metabolic Responses to Ozone and Herbivory Affect Photosynthesis and Stomatal Closure.

Authors:  Stefano Papazian; Eliezer Khaling; Christelle Bonnet; Steve Lassueur; Philippe Reymond; Thomas Moritz; James D Blande; Benedicte R Albrectsen
Journal:  Plant Physiol       Date:  2016-10-06       Impact factor: 8.340

4.  Probing the metabolic aberrations underlying mutant huntingtin toxicity in yeast and assessing their degree of preservation in humans and mice.

Authors:  P Matthew Joyner; Ronni M Matheke; Lindsey M Smith; Robert H Cichewicz
Journal:  J Proteome Res       Date:  2010-01       Impact factor: 4.466

Review 5.  Computational Metabolomics: A Framework for the Million Metabolome.

Authors:  Karan Uppal; Douglas I Walker; Ken Liu; Shuzhao Li; Young-Mi Go; Dean P Jones
Journal:  Chem Res Toxicol       Date:  2016-10-12       Impact factor: 3.739

6.  Multivariate multi-way analysis of multi-source data.

Authors:  Ilkka Huopaniemi; Tommi Suvitaival; Janne Nikkilä; Matej Oresic; Samuel Kaski
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

7.  Determining and interpreting correlations in lipidomic networks found in glioblastoma cells.

Authors:  Robert Görke; Anke Meyer-Bäse; Dorothea Wagner; Huan He; Mark R Emmett; Charles A Conrad
Journal:  BMC Syst Biol       Date:  2010-09-07

8.  MetaFIND: a feature analysis tool for metabolomics data.

Authors:  Kenneth Bryan; Lorraine Brennan; Pádraig Cunningham
Journal:  BMC Bioinformatics       Date:  2008-11-05       Impact factor: 3.169

9.  Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.

Authors:  Patrick H Bradley; Matthew J Brauer; Joshua D Rabinowitz; Olga G Troyanskaya
Journal:  PLoS Comput Biol       Date:  2009-01-30       Impact factor: 4.475

Review 10.  Genome-scale models of bacterial metabolism: reconstruction and applications.

Authors:  Maxime Durot; Pierre-Yves Bourguignon; Vincent Schachter
Journal:  FEMS Microbiol Rev       Date:  2008-12-03       Impact factor: 16.408

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