首页> 外文会议>Third International Conference on Ecosystems and Sustainable Development, 3rd, Jun 6-8, 2001, Alicante >The 'patholog' of the gene expression profile in evaluating the ecotoxins effects
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The 'patholog' of the gene expression profile in evaluating the ecotoxins effects

机译:基因表达谱在评估真菌毒素作用中的“病理”

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The "spotting" microarray technique, consisting in large sets of DNA sequences spotted on poly-L-lysine-coated glass microscope slides, was developed to analyze genome-wide patterns. It is a tool to quantitatively monitor gene expression profiles and to analyze the alterations produced by genetic diseases, or induced by treatments, abnormal nutrition, and toxins. The pre-Hilbert space of standard gene expression (SSGE), based on the normal variability in gene profiles of each population from the ecosystem, is introduced. In this space, every point represents a possible gene profile and every continuous curve a possible genetic evolution. The gene clusters are identified by the correlation coefficients and the prominent gene of every cluster selected from the criteria of highest connective power and smallest variability. We define the gene "patholog" as the Euclidian distance separating the representative point of the population from the unit, 0-centered hypersphere. It is the most general global quantification of the alteration in digital genes expression, suitable to evaluate the effects of various toxins at the level of any particular population. A publicly available database will be open where every experimentalist could introduce his/her results and process them according to our procedure.
机译:开发了“斑点”微阵列技术,该技术由在聚L-赖氨酸涂层的玻璃显微镜载玻片上斑点的大量DNA序列组成,用于分析全基因组模式。它是一种定量监测基因表达谱并分析由遗传疾病产生或由治疗,异常营养和毒素引起的改变的工具。基于生态系统中每个种群的基因谱的正常变异性,引入了标准基因表达的希尔伯特前空间(SSGE)。在这个空间中,每个点代表一个可能的基因图谱,每个连续曲线代表一个可能的遗传进化。基因簇通过相关系数和每个簇的突出基因来识别,每个簇的显着基因选自最高结缔能力和最小变异性。我们将基因“ patholog”定义为将人口的代表点与单位为0的超球面隔开的欧几里得距离。它是数字基因表达变化的最通用的全局量化方法,适用于评估各种毒素对任何特定人群的影响。将开放一个公开可用的数据库,每个实验人员都可以在此数据库中介绍他/她的结果并根据我们的程序进行处理。

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