读文献IF=3.07

2018-06-24  本文已影响0人  医学小咖成长之路

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

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