Thus, the estimated personalized maps may be closer to real time circuits in ca

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 Thus, the estimated personalized maps may be closer to real time circuits in ca Empty Thus, the estimated personalized maps may be closer to real time circuits in ca

Post  huwan123456 on Thu Apr 03, 2014 7:31 am

After analysis, the user is presented with a visualization of any pathways that contained at least one gene. The pathways are ranked ARQ 197 905854-02-6 according to an enrichment signifi cance score based on a Fishers combined probability test, DIANA mirPath also provides a union of pathways feature. Using this technique we were able to identify all significantly targeted pathways by the selected miRs. As above, the Fishers meta analysis method was used to calculate p values to illus trate the probability that the examined pathway is sig nificantly enriched with gene targets of at least one selected miR, For our list of 64 miRs, 18 enrichment pathways are highly significant, The glioma pathway is ranked as the 7th most significant, and 11 of the 18 highest ranked pathways are cancer related, such as endometrial cancer, colorectal cancer, prostate cancer, and bladder cancer.

In order to examine the specificity of this approach AZD0530 Bcr-Abl 阻害剤 we conducted the identi cal union of pathways analysis with a set of 64 randomly selected miRs. For this list of randomly selected miRs, the glioma pathway is not significant, A total of 53 unique genes were identified as potential targets by the three prediction algorithms for glioma pathways, Despite the high rank of the glioma pathway reported by mirPath, we sought a more detailed view of the miR gene interactions. We postulated that some genes might be preferentially targeted by multiple miRs in our dataset.

Other studies employing miR pathway analysis favor com paring the results of multiple prediction algorithms to find consensus interactions, Taking a similar approach, we recorded every potential miR gene interaction among the glioma pathway for all three of the prediction algorithms, We summarized オーダー Alvocidib the findings with prediction consensus counts to identify the number of algorithms that predicted each miR gene interaction. We preferentially focused our attention on interactions unani mously predicted by all three algorithms, We then summed the number of unanimous interactions for each gene to assess the enrichment of single genes, This count provided an empirical indication that some genes are potentially targeted by many of the top miRs identified in our analysis. All 3 algorithms predict a glioma pathway gene target by 41 of the 62 down regulated miRs in our study, Discussion Increased miR expression results in decreased messenger RNA expression, which in turn leads to decreased protein expression.

Conversely, decreased miR expression could result in increased target mRNA expression, which in turn could lead to increased target protein expression. In the current study, we report the identification of a set of 62 miRs that exhibit statistically significant nega tive differential expression in the mi gratory cell population relative to the corresponding expression in the matched migration restricted cell population. Bioinformatics analysis of potential targets of these down regulated miRs produced a set of genes linked to regulation of apoptosis. Genes targeted by the down regulated miR set have potential for increased expression in the invasive cell population and therefore represent potential therapeutic targets to limit glioma progression.

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