共查询到20条相似文献,搜索用时 734 毫秒
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Background
Gene expression profiling using microarrays is a powerful technology widely used to study regulatory networks. Profiling of mRNA levels in mutant organisms has the potential to identify genes regulated by the mutated protein.Methodology/Principle Findings
Using tissues from multiple lines of knockout mice we have examined genome-wide changes in gene expression. We report that a significant proportion of changed genes were found near the targeted gene.Conclusions/Significance
The apparent clustering of these genes was explained by the presence of flanking DNA from the parental ES cell. We provide recommendations for the analysis and reporting of microarray data from knockout mice 相似文献10.
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Ivan P. Gorlov Gary E. Gallick Olga Y. Gorlova Christopher Amos Christopher J. Logothetis 《PloS one》2009,4(8)
Background
Genome-wide association studies (GWASs) and global profiling of gene expression (microarrays) are two major technological breakthroughs that allow hypothesis-free identification of candidate genes associated with tumorigenesis. It is not obvious whether there is a consistency between the candidate genes identified by GWAS (GWAS genes) and those identified by profiling gene expression (microarray genes).Methodology/Principal Findings
We used the Cancer Genetic Markers Susceptibility database to retrieve single nucleotide polymorphisms from candidate genes for prostate cancer. In addition, we conducted a large meta-analysis of gene expression data in normal prostate and prostate tumor tissue. We identified 13,905 genes that were interrogated by both GWASs and microarrays. On the basis of P values from GWASs, we selected 1,649 most significantly associated genes for functional annotation by the Database for Annotation, Visualization and Integrated Discovery. We also conducted functional annotation analysis using same number of the top genes identified in the meta-analysis of the gene expression data. We found that genes involved in cell adhesion were overrepresented among both the GWAS and microarray genes.Conclusions/Significance
We conclude that the results of these analyses suggest that combining GWAS and microarray data would be a more effective approach than analyzing individual datasets and can help to refine the identification of candidate genes and functions associated with tumor development. 相似文献12.
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Zhenqiang Su Hong Fang Huixiao Hong Leming Shi Wenqian Zhang Wenwei Zhang Yanyan Zhang Zirui Dong Lee J Lancashire Marina Bessarabova Xi Yang Baitang Ning Binsheng Gong Joe Meehan Joshua Xu Weigong Ge Roger Perkins Matthias Fischer Weida Tong 《Genome biology》2014,15(12)