tailieunhanh - Báo cáo khoa học: Towards a platform for the metabonomic profiling of different strains of Drosophila melanogaster using liquid chromatography–Fourier transform mass spectrometry

A platform based on hydrophilic interaction chromatography in combina-tion with Fourier transform mass spectrometry was developed in order to carry out metabonomics of Drosophila melanogasterstrains. The method was able to detect 230 metabolites, mainly in the positive ion mode, after checking to eliminate false positives caused by isotope peaks, adducts and fragment ions. | Towards a platform for the metabonomic profiling of different strains of Drosophila melanogaster using liquid chromatography-Fourier transform mass spectrometry Muhammad A. Kamleh1 Yahya Hobani2 Julian A. T. Dow2 3 Liang Zheng1 and David G. Watson1 1 Strathclyde Institute for Pharmacy and BiomedicalSciences Glasgow UK 2 Division of Molecular Genetics Institute of Biomedicaland Life Sciences University of Glasgow UK 3 Department of ClinicalScience King Saud University Riyadh Saudi Arabia Keywords Drosophila Fourier transform mass spectrometry HILIC histidine lipid metabolomics Correspondence D. G. Watson Strathclyde Institute for Pharmacy and BiomedicalSciences 27 Taylor St. Glasgow G4 0NR UK Fax 441415526443 Tel 441415482651 E-mail These authors contributed equally to this work Received 15 June 2009 revised 7 September 2009 accepted 22 September 2009 doi A platform based on hydrophilic interaction chromatography in combination with Fourier transform mass spectrometry was developed in order to carry out metabonomics of Drosophila melanogaster strains. The method was able to detect 230 metabolites mainly in the positive ion mode after checking to eliminate false positives caused by isotope peaks adducts and fragment ions. Two wild-type strains Canton S and Oregon R were studied plus two mutant strains Maroon Like and Chocolate. In order to observe the differential expression of metabolites liquid chromatography-mass spectrometry analyses of the different strains were compared using SIEVE software to extract metabolic differences. The output from SIEVE was searched against a metabolite database using an Excel-based macro written in-house. Metabolic differences were observed between the wild-type strains and also between both Chocolate and Maroon Like compared with Oregon R. It was established that a metabonomic approach could produce results leading to the generation of new hypotheses. In addition the .