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Marjan De Mey

Publications and source records attributed to Marjan De Mey.

4 recordsLinked to original sources
PubMed2006

Microbial metabolomics: past, present and future methodologies.

Microbial metabolomics has received much attention in recent years mainly because it supports and complements a wide range of microbial research areas from new drug discovery efforts to metabolic engineering. Broadly, the term metabolomics refers to the comprehensive (qualitative and quantitative) analysis of the complete set of all low molecular weight metabolites present in and around growing cells at a given time during their growth or production cycle. This review focuses on the past, current and future development of various experimental protocols in the rapid developing area of metabolomics in the ongoing quest to reliably quantify microbial metabolites formed under defined physiological conditions. These developments range from rapid sample collection, instant quenching of microbial metabolic activity, extraction of the relevant intracellular metabolites as well as quantification of these metabolites using enzyme based and or modern high tech hyphenated analytical protocols, mainly chromatographic techniques coupled to mass spectrometry (LC-MS(n), GC-MS(n), CE-MS(n)), where n indicates the number of tandem mass spectrometry, and nuclear magnetic resonance spectroscopy (NMR).

Bacteria↗
PubMed2006

Comparison of DNA and RNA quantification methods suitable for parameter estimation in metabolic modeling of microorganisms.

Recent developments in cellular and molecular biology require the accurate quantification of DNA and RNA in large numbers of samples at a sensitivity that enables determination on small quantities. In this study, five current methods for nucleic acid quantification were compared: (i) UV absorbance spectroscopy at 260 nm, (ii) colorimetric reaction with orcinol reagent, (iii) colorimetric reaction based on diphenylamine, (iv) fluorescence detection with Hoechst 33258 reagent, and (v) fluorescence detection with thiazole orange reagent. Genomic DNA of three different microbial species (with widely different G+C content) was used, as were two different types of yeast RNA and a mixture of equal quantities of DNA and RNA. We can conclude that for nucleic acid quantification, a standard curve with DNA of the microbial strain under study is the best reference. Fluorescence detection with Hoechst 33258 reagent is a sensitive and precise method for DNA quantification if the G+C content is less than 50%. In addition, this method allows quantification of very low levels of DNA (nanogram scale). Moreover, the samples can be crude cell extracts. Also, UV absorbance at 260 nm and fluorescence detection with thiazole orange reagent are sensitive methods for nucleic acid detection, but only if purified nucleic acids need to be measured.

Colorimetry↗
PubMed2006

Cloning, sequence analysis and heterologous expression of the Myrothecium gramineum orotidine-5'-monophosphate decarboxylase gene.

A 2918 bp sequence coding for the orotidine-5'-monophosphate decarboxylase enzyme (OMPD) was isolated from the genome of Myrothecium gramineum. This sequence was analysed and, remarkably, it is the first OMPD gene of a Sordariomycete that has an intron. The gene codes for an enzyme of 282 amino acids. The nucleotide sequence and the amino acid sequence were compared with fungal OMPD sequences. They show the highest similarity to OMPD genes and enzymes of Aspergillus sp., Penicillium sp. and Cladosporium fulvum. The functionality of the gene as a selection marker was proven by complementation of the uracil auxotrophy of Aspergillus nidulans FGSC A722.

3' Untranslated Regions↗