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Harry A Kuiper

Publications and source records attributed to Harry A Kuiper.

8 recordsLinked to original sources
PubMed2006

Applications of metabolomics in agriculture.

Biological systems are exceedingly complex. The unraveling of the genome in plants and humans revealed fewer than the anticipated number of genes. Therefore, other processes such as the regulation of gene expression, the action of gene products, and the metabolic networks resulting from catalytic proteins must make fundamental contributions to the remarkable diversity inherent in living systems. Metabolomics is a relatively new approach aimed at improved understanding of these metabolic networks and the subsequent biochemical composition of plants and other biological organisms. Analytical tools within metabolomics including mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy can profile the impact of time, stress, nutritional status, and environmental perturbation on hundreds of metabolites simultaneously resulting in massive, complex data sets. This information, in combination with transcriptomics and proteomics, has the potential to generate a more complete picture of the composition of food and feed products, to optimize crop trait development, and to enhance diet and health. Selected presentations from an American Chemical Society symposium held in March 2005 have been assembled to highlight the emerging application of metabolomics in agriculture.

Agriculture↗
PubMed2006

Assessment of representational difference analysis (RDA) to construct informative cDNA microarrays for gene expression analysis of species with limited transcriptome information, using red and green tomatoes as a model.

Microarray technology makes it feasible to analyse the expression of thousands of different gene elements in a single experiment. Most informative are 'whole genome' arrays, where all gene expression products of a single species or variety are represented. Such arrays are now available for a limited number of model species. However, for other, less well-documented species other routes are still necessary to obtain informative arrays. This includes the use of cDNA libraries. To enhance the amount of information that can be obtained from cDNA libraries, redundancy needs to be minimised, and the number of cDNAs relevant for the conditions of interest needs to be increased. Here, we used representational difference analysis (RDA), a mRNA subtraction procedure, as a tool to enhance the efficiency of cDNA libraries to be used to generate microarrays. Tomato was chosen as a model system for a less well-documented species. cDNA libraries for two distinct physiological conditions of tomato fruits, red and green, were made. The libraries were characterized by sequencing and hybridisation analysis. The RDA procedure was shown to be effective in selecting for genes of relevance for the physiological conditions under investigation, and against constitutively expressed genes. At the same time, redundancy was reduced, but complete normalisation was not obtained, and subsequent sequence analysis will be required to obtain non-redundant arrays. Further, known and putative ripening-related cDNAs were identified in hybridisation experiments on the basis of RNA populations as isolated from the green and red stage of ripening.

Fruit↗
PubMed2004

Development of a rapid yeast estrogen bioassay, based on the expression of green fluorescent protein.

The aim of this study was to develop an estrogen transcription activation assay that is sensitive, fast and easy to use in the routine screening of estrogen activity in complex matrices such as agricultural products. Recombinant yeast cells were constructed that express the human estrogen receptor alpha (ER alpha) and beta-Galactosidase (beta Gal), Luciferase (Luc) or yeast Enhanced Green Fluorescence Protein (yEGFP) as a reporter protein. Compared to other yeast assays, these new cells contain both the receptor construct as well as the reporter construct stably integrated in the genome with only one copy of the reporter construct. Dose-response curves for 17beta-estradiol (E2) obtained with the beta Gal assay were similar to those reported and the calculated EC(50) of 0.2 nM was even slightly better. However, 5 days of incubation were required before the chlorophenol red product could be measured. The Luc assay was as sensitive as the beta Gal assay and gave an EC(50) of 0.2 nM, but the signals were rather low and, although the assay can be performed within 1 day, the procedure is laborious and caused variability. The yEGFP revealed an EC(50) of 0.4 nM, but compared to the beta Gal and the Luc assay, the response was much better. This yEGFP assay can be performed completely in 96 well plates within 4 h and does not need cell wall disruption nor does it need the addition of a substrate. This makes the test sensitive, rapid and convenient with high reproducibility and small variation. These qualities make that this yEGFP assay is suited to be used as a high throughput system.

Biological Assay↗
PubMed2003

Exploitation of molecular profiling techniques for GM food safety assessment.

Several strategies have been developed to identify unintended alterations in the composition of genetically modified (GM) food crops that may occur as a result of the genetic modification process. These include comparative chemical analysis of single compounds in GM food crops and their conventional non-GM counterparts, and profiling methods such as DNA/RNA microarray technologies, proteomics and metabolite profiling. The potential of profiling methods is obvious, but further exploration of specificity, sensitivity and validation is needed. Moreover, the successful application of profiling techniques to the safety evaluation of GM foods will require linked databases to be built that contain information on variations in profiles associated with differences in developmental stages and environmental conditions.

Consumer Product Safety↗
PubMed2002

Substantial equivalence--an appropriate paradigm for the safety assessment of genetically modified foods?

Safety assessment of genetically modified food crops is based on the concept of substantial equivalence, developed by OECD and further elaborated by FAO/WHO. The concept embraces a comparative approach to identify possible differences between the genetically modified food and its traditional comparator, which is considered to be safe. The concept is not a safety assessment in itself, it identifies hazards but does not assess them. The outcome of the comparative exercise will further guide the safety assessment, which may include (immuno)toxicological and biochemical testing. Application of the concept of substantial equivalence may encounter practical difficulties: (i) the availability of near-isogenic parental lines to compare the genetically modified food with; (ii) limited availability of methods for the detection of (un)intended effects resulting from the genetic modification; and (iii) limited information on natural variations in levels of relevant crop constituents. In order to further improve the methodology for identification of unintended effects, new 'profiling' methods are recommended. Such methods will allow for the screening of potential changes in the modified host organism at different integration levels, i.e. at the genome level, during gene expression and protein translation, and at the level of cellular metabolism.

Animals↗
PubMedDate not supplied

DNA methods: critical review of innovative approaches.

The presence of ingredients derived from genetically modified organisms (GMOs) in food products in the market place is subject to a number of European regulations that stipulate which product consisting of or containing GMO-derived ingredients should be labeled as such. In order to maintain these labeling requirements, a variety of different GMO detection methods have been developed to screen for either the presence of DNA or protein derived from (approved) GM varieties. Recent incidents where unapproved GM varieties entered the European market show that more powerful GMO detection and identification methods will be needed to maintain European labeling requirements in an adequate, efficient, and cost-effective way. This report discusses the current state-of-the-art as well as future developments in GMO detection.

DNA, Plant↗