读文献IF=3.07
Discovery of microarray-identified genes associated
with ovarian cancer progression
提出问题:
mRNA expression profiles与ovarian cancer progression有什么联系?
检索数据库:
Oncomine、GEO、 cBioPortal for Cancer Genomics
检索内容:
1、Microarrays GDS3592, GDS3297, GDS2785 and GDS3894 from Oncomine
2、The clinical data of 489 cases of ovarian carcinoma with gene expression value in TCGA
参数设置:
P-values are corrected for multiple comparisons
输出结果:
1、Enrichment of the biological processes of a group of genes
2、Annotation of biological processes with genes
3、 protein/gene-protein/gene interaction analysis
4、Homogeneity of the variances
5、probability of survival and significance
分析软件:
1、DAVID online tool
2、Coremine Medical online database
3、 GeneMANIA online tool
4、 SPSS 20.0 software
结果验证:
1、细胞:The human epithelial ovarian cancer A2780 and SKOV3 cells、Cisplatin-resistant cell line A2780-DDP and SKOV3-DDP, and carboplatin-resistant cell line A2780-CBP。
2、RT-PCR