Literature DB >> 22723473

Metabolism in the age of 'omes'.

Raul K Suarez1, Christopher D Moyes.   

Abstract

Much research in comparative physiology is now performed using 'omics' tools and many results are interpreted in terms of the effects of changes in gene expression on energy metabolism. However, 'metabolism' is a complex phenomenon that spans multiple levels of biological organization. In addition rates and directions of flux change dynamically under various physiological circumstances. Within cells, message level cannot be equated with protein level because multiple mechanisms are at play in the 'regulatory hierarchy' from gene to mRNA to enzyme protein. This results in many documented instances wherein change in mRNA levels and change in enzyme levels are unrelated. It is also known from metabolic control analysis that the influence of single steps in pathways on flux is often small. Flux is a system property and its control tends to be distributed among multiple steps. Consequently, change in enzyme levels cannot be equated with change in flux. Approaches developed by Hans Westerhoff and colleagues, called 'hierarchical regulation analysis', allow quantitative determination of the extent to which 'hierarchical regulation', involving change in enzyme level, and 'metabolic regulation', involving the modulation of the activity of preexisting enzyme, regulate flux. We outline these approaches and provide examples to show their applicability to problems of interest to comparative physiologists.

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Year:  2012        PMID: 22723473     DOI: 10.1242/jeb.059725

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  18 in total

1.  Metabolomic analysis of the selection response of Drosophila melanogaster to environmental stress: are there links to gene expression and phenotypic traits?

Authors:  Anders Malmendal; Jesper Givskov Sørensen; Johannes Overgaard; Martin Holmstrup; Niels Chr Nielsen; Volker Loeschcke
Journal:  Naturwissenschaften       Date:  2013-04-10

2.  Experimental ocean acidification alters the allocation of metabolic energy.

Authors:  T-C Francis Pan; Scott L Applebaum; Donal T Manahan
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-30       Impact factor: 11.205

3.  Adaptive Modifications of Muscle Phenotype in High-Altitude Deer Mice Are Associated with Evolved Changes in Gene Regulation.

Authors:  Graham R Scott; Todd S Elogio; Mikaela A Lui; Jay F Storz; Zachary A Cheviron
Journal:  Mol Biol Evol       Date:  2015-04-07       Impact factor: 16.240

4.  Transcriptional analysis of insect extreme freeze tolerance.

Authors:  Lauren E Des Marteaux; Petr Hůla; Vladimír Koštál
Journal:  Proc Biol Sci       Date:  2019-10-23       Impact factor: 5.349

5.  Cold adaptation shapes the robustness of metabolic networks in Drosophila melanogaster.

Authors:  Caroline M Williams; Miki Watanabe; Mario R Guarracino; Maria B Ferraro; Arthur S Edison; Theodore J Morgan; Arezue F B Boroujerdi; Daniel A Hahn
Journal:  Evolution       Date:  2014-11-20       Impact factor: 3.694

6.  Transcriptional changes associated with lack of lipid synthesis in parasitoids.

Authors:  Bertanne Visser; Dick Roelofs; Daniel A Hahn; Peter E A Teal; Janine Mariën; Jacintha Ellers
Journal:  Genome Biol Evol       Date:  2012-07-20       Impact factor: 3.416

7.  Glycolysis is governed by growth regime and simple enzyme regulation in adherent MDCK cells.

Authors:  Markus Rehberg; Joachim B Ritter; Udo Reichl
Journal:  PLoS Comput Biol       Date:  2014-10-16       Impact factor: 4.475

8.  Assumptions and properties of limiting pathway models for analysis of epistasis in complex traits.

Authors:  Sven Stringer; Eske M Derks; René S Kahn; William G Hill; Naomi R Wray
Journal:  PLoS One       Date:  2013-07-30       Impact factor: 3.240

9.  Comparative proteomics and expression analysis of five genes in Epicauta chinensis larvae from the first to fifth instar.

Authors:  Qiurong Li; Dun Wang; Shumin Lv; Yalin Zhang
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

10.  Integrated analysis of transcript-level regulation of metabolism reveals disease-relevant nodes of the human metabolic network.

Authors:  Mafalda Galhardo; Lasse Sinkkonen; Philipp Berninger; Jake Lin; Thomas Sauter; Merja Heinäniemi
Journal:  Nucleic Acids Res       Date:  2013-11-05       Impact factor: 16.971

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