笔记详情
标题
Microarray analysis
内容
Microarray analysis
Total RNA was extracted from Panc1 cells by using a mirVanaTM miRNA Isolation Labeling Kit (Ambion Inc.). The total RNA was quantified by using a Nanodrop ND-1000 spectrophotometer (NanoDrop Technology). The total RNA samples with adequate RNA quality index (>7) were used for microarray analysis; 700 ng of total RNA was used for labeling and hybridization on HumanHT-12 v4 expression beadchip (Illumina, Inc.) according to the manufacturer’s protocols. After the beadchips were scanned with a BeadArray Reader (Illumina), the microarray data were normalized using the quantile normalization method in the Linear Models for Microarray Data (LIMMA) package in the R language (http://www.r-project.org). BRB-ArrayTools were primarily used for statistical analysis of gene expression data, and the Student’s t test was applied to identify the genes significantly different between 2 groups when compared. Differentially expressed genes were identified using > 1.5 or 2 fold change cut off. Gene ontology enrichment analysis was carried out using David Functional Annotation Resources 6.7 (http://david.abcc.ncifcrf.gov/). Data for gene expression study of pancreatic ductal adenocarcinoma were downloaded from Gene Expression Omnibus (GEO, NCBI) (http://www.ncbi.nlm.nih.gov/geoprofiles/). 点击翻译
Total RNA was extracted from Panc1 cells by using a mirVanaTM miRNA Isolation Labeling Kit (Ambion Inc.). The total RNA was quantified by using a Nanodrop ND-1000 spectrophotometer (NanoDrop Technology). The total RNA samples with adequate RNA quality index (>7) were used for microarray analysis; 700 ng of total RNA was used for labeling and hybridization on HumanHT-12 v4 expression beadchip (Illumina, Inc.) according to the manufacturer’s protocols. After the beadchips were scanned with a BeadArray Reader (Illumina), the microarray data were normalized using the quantile normalization method in the Linear Models for Microarray Data (LIMMA) package in the R language (http://www.r-project.org). BRB-ArrayTools were primarily used for statistical analysis of gene expression data, and the Student’s t test was applied to identify the genes significantly different between 2 groups when compared. Differentially expressed genes were identified using > 1.5 or 2 fold change cut off. Gene ontology enrichment analysis was carried out using David Functional Annotation Resources 6.7 (http://david.abcc.ncifcrf.gov/). Data for gene expression study of pancreatic ductal adenocarcinoma were downloaded from Gene Expression Omnibus (GEO, NCBI) (http://www.ncbi.nlm.nih.gov/geoprofiles/). 点击翻译
来源
Oncotarget. 2015 Mar 12
类别
关键词
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