Literature DB >> 24233782

Determining the effect of DNA methylation on gene expression in cancer cells.

Chai-Jin Lee1, Jared Evans, Kwangsoo Kim, Heejoon Chae, Sun Kim.   

Abstract

DNA methylation, a DNA modification by adding methyl group to cytosine, has an important role in the regulation of gene expression. DNA methylation is known to be associated with gene transcription by interfering with DNA-binding proteins, such as transcription factors. DNA methylation is closely related to tumorigenesis, and the methylation state of some genes can be used as a biomarker for tumorigenesis. Aberrant DNA methylation of genomic regions, including CpG islands, CpG shores, and first exons, is related to the altered gene expression pattern characteristics of all human cancers. Subheading 1 surveys recent developments on DNA methylation and gene expressions in cancer. Then we provide analysis of DNA methylation and gene expression in 30 breast cancer cell lines representing different tumor phenotypes. This study conducted an integrated analysis to identify the relationship between DNA methylation in various genomic regions and expression levels of downstream genes, using MethylCapseq data (affinity purification followed by next-generation sequencing of eluted DNA) and Affymetrix gene expression microarray data. The goal of this study was to assess genome-wide methylation profiles associated with different molecular subtypes of human breast cancer (luminal, basal A, and basal B) and to comprehensively investigate the effect of DNA methylation on gene expression in breast cancer phenotypes. This showed that methylation of genomic regions near transcription start sites, CpG island, CpG shore, and first exon was strongly associated with gene repression, and the effects of the regions on gene expression patterns were different for different molecular subtypes of breast cancer. The results further indicated that aberrant methylation of specific genomic regions was significantly associated with different breast cancer subtypes.

Entities:  

Mesh:

Year:  2014        PMID: 24233782     DOI: 10.1007/978-1-62703-721-1_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

1.  TFAP2E hypermethylation was associated with survival advantage in patients with colorectal cancer.

Authors:  Zuo-Ming Zhang; Yibaina Wang; Rong Huang; Yu-Peng Liu; Xia Li; Fu-Lan Hu; Lin Zhu; Fan Wang; Bin-Bin Cui; Xin-Shu Dong; Ya-Shuang Zhao
Journal:  J Cancer Res Clin Oncol       Date:  2014-07-06       Impact factor: 4.553

2.  NEAT1 paraspeckle promotes human hepatocellular carcinoma progression by strengthening IL-6/STAT3 signaling.

Authors:  Shuai Wang; Qian Zhang; Qinlan Wang; Qicong Shen; Xiang Chen; Zhenyang Li; Ye Zhou; Jin Hou; Bowen Xu; Nan Li; Xuetao Cao
Journal:  Oncoimmunology       Date:  2018-08-06       Impact factor: 8.110

3.  CpG-SNP site methylation regulates allele-specific expression of MTHFD1 gene in type 2 diabetes.

Authors:  Manik Vohra; Prabha Adhikari; Sydney C D' Souza; Shivashankar K Nagri; Shashikiran Umakanth; Kapaettu Satyamoorthy; Padmalatha S Rai
Journal:  Lab Invest       Date:  2020-04-01       Impact factor: 5.662

4.  S-adenosylmethionine blocks osteosarcoma cells proliferation and invasion in vitro and tumor metastasis in vivo: therapeutic and diagnostic clinical applications.

Authors:  Surabhi Parashar; David Cheishvili; Ani Arakelian; Zahid Hussain; Imrana Tanvir; Haseeb Ahmed Khan; Moshe Szyf; Shafaat A Rabbani
Journal:  Cancer Med       Date:  2015-01-26       Impact factor: 4.452

5.  Epigenetic silencing of downstream genes mediated by tandem orientation in lung cancer.

Authors:  Steffen Kiehl; Tobias Zimmermann; Rajkumar Savai; Soni S Pullamsetti; Werner Seeger; Marek Bartkuhn; Reinhard H Dammann
Journal:  Sci Rep       Date:  2017-06-20       Impact factor: 4.379

6.  Four novel polymorphisms in long non-coding RNA HOTTIP are associated with the risk and prognosis of colorectal cancer.

Authors:  Zhi Lv; Qian Xu; Liping Sun; Jing Wen; Xinxin Fang; Chengzhong Xing; Yuan Yuan
Journal:  Biosci Rep       Date:  2019-05-07       Impact factor: 3.840

7.  DNA methylation-based classification and identification of renal cell carcinoma prognosis-subgroups.

Authors:  Wenbiao Chen; Jia Zhuang; Peizhong Peter Wang; Jingjing Jiang; Chenhong Lin; Ping Zeng; Yan Liang; Xujun Zhang; Yong Dai; Hongyan Diao
Journal:  Cancer Cell Int       Date:  2019-07-16       Impact factor: 5.722

8.  Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes.

Authors:  Lei Chen; Tao Zeng; Xiaoyong Pan; Yu-Hang Zhang; Tao Huang; Yu-Dong Cai
Journal:  Int J Mol Sci       Date:  2019-08-31       Impact factor: 5.923

9.  Methylation of Estrogen Receptor 1 Gene in the Paraspinal Muscles of Girls with Idiopathic Scoliosis and Its Association with Disease Severity.

Authors:  Piotr Janusz; Małgorzata Chmielewska; Mirosław Andrusiewicz; Małgorzata Kotwicka; Tomasz Kotwicki
Journal:  Genes (Basel)       Date:  2021-05-21       Impact factor: 4.096

10.  Integrative analysis of gene expression profiles reveals specific signaling pathways associated with pancreatic duct adenocarcinoma.

Authors:  Jun Li; Wenle Tan; Linna Peng; Jialiang Zhang; Xudong Huang; Qionghua Cui; Jian Zheng; Wen Tan; Chen Wu; Dongxin Lin
Journal:  Cancer Commun (Lond)       Date:  2018-04-27
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