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The sequencing of several complete genomes and the development of a DNA microarray technology are among the most important achievements of molecular biology. They gave the proper grounds for the development of modern functional genomics. However, there is one additional condition which needs to be satisfied to truely enable the study of how a genome works: a suitable method of selectively inducing and silencing the expression of each individual gene. The methods used so far have usually only permitted the influfencing of gene expression through genetic manipulations at the DNA level (genetically modified plants). The discovery of RNA interference (RNAi) opens up completely new possibilities of research on the functioning of particular plant genes, without the necessity of altering the genome structure. In this case, interference takes place at the transcript level. Thus, at any given moment during plant development, the expression of a specific gene (or several genes) can be inhibited, even if it is important for the survival of the organism under study. To this end, a double-stranded RNA inducing the RNAi phenomenon has to be delivered into the plant cell. Here we describe the construction of four brome mosaic virus-based vectors, which, as our preliminary data indicate, can be used to transfer RNA into barley cells.
Expressed Sequence Tags (ESTs) are short, usually unedited sequences obtained by single-pass sequencing of cDNA clones from any cDNA library. Analyzing and comparing ESTs can provide information on gene expression, function and evolution. Large-scale EST sequencing has become an attractive alternative to plant genome sequencing. Currently, plant EST coltections comprise over 3.8 miliion sequences from about 200 species. They have proved to be a valuable tool for gene discovery and plant metabolism analysis. Several plant-specific EST databases have been created which provide access to sequence data and bioinformatics-based tools for data mining. Searching EST coltections allows pre-selection of genes for preparing cDNA arrays, targeted to bring maximum information on specialized processes, like stress response, symbiotic nitrogen fixation etc. Also, EST-based molecular markers such as SNP, SSR, and indels are fast developing tools for breeders and re searchers.
Functional analysis of up- and down-regulated genes might reveal whether peripheral blood cells may be considered as a material of diagnostic or prognostic value in patients with end-stage heart failure (HF). The aim of the present study was to compare the transcriptomic profile of peripheral blood nuclear cells from 6 male patients with ischaemic end-stage HF with those of 6 male patients with asymptomatic cardiac dysfunction. The expression of genes in peripheral blood nuclear cells in both groups of patients was measured using whole-genome oligonucleotide microarrays utilizing 35 035 oligonucleotide probes. Microarray analyses revealed 130 down-regulated genes and 15 up-regulated genes in the patients with end-stage HF. Some of the down-regulated genes belonged to the pathways that other studies have shown to be down-regulated in cardiomyopathy. We also identified up-regulated genes that have been correlated with HF severity (CXCL16) and genes involved in the regulation of expression of platelet activation factor receptor (PTAFR, RBPSUH, MCC, and PSMA7). In conclusion, the identification of genes that are differentially expressed in peripheral blood nuclear cells of patients with HF supports the suggestion that this diagnostic approach may be useful in searching for the molecular predisposition for development of severe refractory HF in patients with post-infarction asymptomatic abnormalities and remodelling of the left ventricle. These results need further investigation and validation.
Deciphering of the plant metabolome is one of the most difficult analytical tasks in functional genomic research. Studies directed at the gene or protein expression are well established, sequencing analyses of these kinds of biopolymers on genome or proteome level are possible. This is not the case for metabolites, where identification in single sample of many chemical entities of different elemental composition and structures and various physicochemical properties is necessary. Different instrumental methods are applied for identification of metabolites but none of them allows obtaining unambiguous structural information about more than 500 compounds in single mixture (metabolite profiling). This is a much smaller number of metabolites than is predicted for single plant metabolome. However, instrumental approaches were proposed (metabolite fingerprinting) in which biochemical phenotype of an organism may be estimated, but identification of individual compounds is not possible.
Functional modeling of human genes and diseases requires suitable mammalian model organisms. For its genetic malleability, the mouse is likely to continue to play a major role in defining basic genetic traits and complex pathological disorders. Re­cently, gene targeting techniques have been extended towards developing new engi­neering strategies for generating extensive lesions and rearrangements in mouse chromosomes. While these advances create new opportunities to address similar ab­errations observed in human diseases, they also open new ways of scaling-up mutagensis projects that try to catalogue and annotate cellular functions of mamma­lian genes.
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