Picture of aircraft jet engine

Strathclyde research that powers aerospace engineering...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in aerospace engineering and from the Advanced Space Concepts Laboratory - but also other internationally significant research from within the Department of Mechanical & Aerospace Engineering. Discover why Strathclyde is powering international aerospace research...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Applications of mass spectrometry in metabolomic studies of animal model and invertebrate systems

Kamleh, M.A. and Dow, J.A.T. and Watson, D.G. (2009) Applications of mass spectrometry in metabolomic studies of animal model and invertebrate systems. Briefings in Functional Genomics and Proteomics, 8 (1). pp. 28-48. ISSN 1473-9550

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Metabolomics provides rich datasets for systems biology. Mass spectrometric (MS) techniques are rapidly gaining in importance for untargeted metabolic profiling. In this review, we survey the various techniques for sample preparation and analysis relating to the various MS techniques and illustrate the potential of these techniques for both observing complete metabolomes and detecting changes in the metabolism resulting from genetic mutation of other perturbations. The use of some of these techniques in the study of model organisms including rodent and various invertebrate models is described. The invertebrate systems are of particular interest since such organisms have valuable mutant resources, such as RNAi panels directed against nearly all the genes in the genome. The demonstration that they are readily compatible with metabolomic approaches is particularly important for systems approaches to metabolic pathways.