Integration of DNA methylation with gene expression

YC Yang Chen
LL Lian-Di Liao
ZW Zhi-Yong Wu
QY Qian Yang
JG Jin-Cheng Guo
JH Jian-Zhong He
SW Shao-Hong Wang
XX Xiu-E Xu
JW Jian-Yi Wu
FP Feng Pan
DL De-Chen Lin
LX Li-Yan Xu
EL En-Min Li
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We integrated the 450K array and RNA-seq data by following analytical process: (1) identification of differentially-methylated and -expressed genes in 15 paired ESCC samples. The differentially-methylated genes were selected by a p-value < 0.05, and (2) testing of both differentially-methylated and differentially-expressed genes for a strong association. Pearson correlation analysis was used to identify their correlations. A negative correlation was considered significant for a Pearson correlation coefficient (PCC) < -0.5 and p-value < 0.05.

The DAVID Bioinformatics Tool (version 6.8) [63] was used to infer the potential biological processes of methylation-associated genes. Results with p-value<0.05 were considered as significant functional categories.

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