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Increased cellular reactive oxygen species (ROS) can act as mitogenic signals in addition to damaging DNA and oxidizing lipids and proteins, implicating ROS in cancer development and progression. To analyze the effects of Nox1 expression and its relation to cellular ROS and signal transduction involved in cellular proliferation, Nox1RNAi constructs were transfected into DU145 prostate cancer cells overexpressing Nox1, causing decreased Nox1 message and protein levels in the Nox1RNAi cell lines. Increased ROS and tumor growth in the Nox1-overexpressing DU145 cells were reversed in the presence of the Nox1RNAi. Analysis and comparison of the message levels in the overexpression and RNAi cells demonstrated that Nox1 overexpression leads to changes in message levels of a variety of proteins including c-fos-induced growth factor, interleukin-8, and Cav-1. Finally, we found that Nox1 protein overexpression is an early event in the development of prostate cancer using a National Cancer Institute prostate cancer tissue microarray (CPCTR). Tumor (86%) was significantly more likely to have Nox1 staining than benign prostate tissue (62%) (P = 0.0001). These studies indicate that Nox1 overexpression may function as a reversible signal for cellular proliferation with relevance for a common human tumor.
Pubmed ID: 18055552
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GOstat is a tool that allows you to find statistically overrepresented Gene Ontologies within a group of genes. The Gene-Ontology database (GO: http://www.geneontology.org) provides a useful tool to annotate and analyze the function of large numbers of genes. Modern experimental techniques, as e.g. DNA microarrays, often result in long lists of genes. To learn about the biology in this kind of data it is desirable to find functional annotation or Gene-Ontology groups which are highly represented in the data. This program (GOstat) should help in the analysis of such lists and will provide statistics about the GO terms contained in the data and sort the GO annotations giving the most representative GO terms first. Run GOstat: * Go to search form - Computes GO statistics of a list of genes selected from a microarray. * GOstat Display - You can store results from a previously run and view them here, either by uploading them as a file or putting them on a selected URL. * Upload Custom GO Annotations - This allows you to upload your own GO annotation database and use it with GOstat. Variants of GOstat: * Rank GOstat - Takes input from all genes on microarray instead of using a fixed cutoff and uses ranks using a Wilcoxon test or either ranks or pvalues to score GOs using Kolmogorov-Smirnov statistics. * Gene Abundance GOstats - Takes input from all genes on microarray and sums up the gene abundances for each GO to compute statistics. * Two list GOstat - Compares GO statistics in two independent lists of genes, not necessarily one of them being the complete list the other list is sampled from. Platform: Online tool
View all literature mentionsGeneTraffic is a web-based microarray data analysis and management software developed by Iobion Informatics that allows users to log onto a server, upload their microarray data and perform analysis and project management remotely. GeneTraffic was made by Iobion Informatics (now under Stratagene) and can be accessed thorough Internet Explorer 6.0 or greater on Windows XP.
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