Literature DB >> 28888056

Comparison of genome-wide analysis techniques to DNA methylation analysis in human cancer.

Narges Soozangar1,2,3, Mohammad R Sadeghi1,2, Farhad Jeddi1,2, Mohammad H Somi1,2, Masoud Shirmohamadi1, Nasser Samadi2,4.   

Abstract

DNA methylation was the first epigenetic modification to be detected in human cancers with specific relation to aberrant gene expression. Herein, DNA methylation analysis explains how epigenetic patterns affect gene expression level. Hypermethylation at tumor suppressor gene loci leads to increased tumorigenesis due to tumor suppressor gene silencing, whereas global hypomethylation of CpG islands (CGIs) is followed by genomic instability and aberrant activation of multiple oncogenes. Therefore, characterization of the genes which silenced or activated epigenetically in human tumor cells can improve our understanding of cancer biology. Different genome-wide methodologies are applied to evaluate methylation status. Various commonly conducted techniques for this evaluation are reviewed in this paper. We provided comparative description of the procedures, advantages, and drawbacks of genome-wide DNA methylation analysis methods and biological applications, to give information on selecting the appropriate method for different methylation studies.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  DNA methylation; cancer; epigenetic; genome-wide analysis

Mesh:

Year:  2017        PMID: 28888056     DOI: 10.1002/jcp.26176

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  10 in total

1.  Integrated analysis of dynamic FET PET/CT parameters, histology, and methylation profiling of 44 gliomas.

Authors:  Manuel Röhrich; Kristin Huang; Daniel Schrimpf; Nathalie L Albert; Thomas Hielscher; Andreas von Deimling; Ulrich Schüller; Antonia Dimitrakopoulou-Strauss; Uwe Haberkorn
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-05-07       Impact factor: 9.236

2.  Extended Application of Genomic Selection to Screen Multi-Omics Data for the Development of Novel Pyroptosis-Immune Signatures and Predicting Immunotherapy of Glioma.

Authors:  Shuai Ma; Fang Wang; Nan Wang; Jiaqi Jin; Xiuwei Yan; Lili Wang; Xiangrong Zheng; Shaoshan Hu; Jianyang Du
Journal:  Front Pharmacol       Date:  2022-05-10       Impact factor: 5.988

Review 3.  The regulation mechanisms and the Lamarckian inheritance property of DNA methylation in animals.

Authors:  Yulong Li; Yujing Xu; Tongxu Liu; Hengyi Chang; Xiaojun Yang
Journal:  Mamm Genome       Date:  2021-04-15       Impact factor: 2.957

4.  A model of pulldown alignments from SssI-treated DNA improves DNA methylation prediction.

Authors:  Blythe S Moreland; Kenji M Oman; Ralf Bundschuh
Journal:  BMC Bioinformatics       Date:  2019-08-19       Impact factor: 3.169

Review 5.  Laboratory methods to decipher epigenetic signatures: a comparative review.

Authors:  Raheleh Halabian; Ali Ahmadi; Pardis Saeedi; Sadegh Azimzadeh Jamalkandi; Mohammad Reza Alivand
Journal:  Cell Mol Biol Lett       Date:  2021-11-11       Impact factor: 8.702

6.  Site-Specific Hypermethylation of SST 1stExon as a Biomarker for Predicting the Risk of Gastrointestinal Tract Cancers.

Authors:  Xiantong Dai; Xin Sun; Ying Wu; Zhi Lv; Zhanwu Yu; Yuan Yuan; Liping Sun
Journal:  Dis Markers       Date:  2022-02-12       Impact factor: 3.434

7.  Potential mechanisms and prognostic model of eRNAs-regulated genes in stomach adenocarcinoma.

Authors:  Liuying Gao; Hao Rong
Journal:  Sci Rep       Date:  2022-10-03       Impact factor: 4.996

8.  Genetic variation in CDH13 gene was associated with non-small cell lung cancer (NSCLC): A population-based case-control study.

Authors:  Yingfu Li; Chuanyin Li; Qianli Ma; Yu Zhang; Yueting Yao; Shuyuan Liu; Xinwen Zhang; Chao Hong; Fang Tan; Li Shi; Yufeng Yao
Journal:  Oncotarget       Date:  2017-12-05

Review 9.  Liquid biomarkers in melanoma: detection and discovery.

Authors:  Su Yin Lim; Jenny H Lee; Russell J Diefenbach; Richard F Kefford; Helen Rizos
Journal:  Mol Cancer       Date:  2018-01-17       Impact factor: 27.401

10.  Multi-omics Data Analyses Construct TME and Identify the Immune-Related Prognosis Signatures in Human LUAD.

Authors:  Yuwei Zhang; Minglei Yang; Derry Minyao Ng; Maria Haleem; Tianfei Yi; Shiyun Hu; Huangkai Zhu; Guofang Zhao; Qi Liao
Journal:  Mol Ther Nucleic Acids       Date:  2020-07-23       Impact factor: 8.886

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.