安徽医科大学学报2017，Vol.52Issue(2)：199-202,4.DOI:10.19405/j.cnki.issn1000-1492.2017.02.010
前列腺癌基因表达谱芯片的生物信息学分析
An integrative bioinformatics study of gene expression profile in prostate cancer
摘要
Abstract
Objective To analyze gene expression profile for exploring the function and regulatory network of differ-entially expressed genes in prostate cancer by bioinformatics. Methods The data of gene expression profile in prostate cancer were obtained from GEO database. R software and affy, limma, pheatmap, ggplot2 and other R packages were applied for data mining and bioinformatics analysis. Combined with DAVID and GeneMANIA , dif-ferentially expressed genes and their regulatory networks were annotated. Results These differentially expressed genes with statistical significance were 56 genes, 15 upregulated genes, 41 downregulated genes;these genes were enriched into different subgroups. cav1, slc16a2, cav2, slc16a5, magi2, ptrf, pdlim5, lmod1 and abcc6 were en-riched into the "cell membrane component" subgroup of"cell component" category. cav1, cav2 and ptrf regulated the function of caveolae, they may play an important role in the occurrence and development of prostate cancer. Conclusion Differentially expressed genes between prostate cancer and adjacent tissues assemble a complex regu-latory network. Bioinformatics is a tool for data mining of the regulatory network , which provides ideas and data for the molecular mechanisms in prostate cancer.关键词
前列腺癌/基因表达谱/生物信息学Key words
prostate cancer/gene expression profile/bioinformatics分类
医药卫生引用本文复制引用
王书鹏,吴松,蔡志明..前列腺癌基因表达谱芯片的生物信息学分析[J].安徽医科大学学报,2017,52(2):199-202,4.基金项目
国家重点基础研究发展计划(973计划)项目(编号:2014CB745200) （973计划）
国家自然科学基金(编号:81301740) （编号:81301740）
