DocumentCode
557504
Title
Nucleosome positioning plays an important role in predicting the methylation status of CpG islands
Author
Zhang, Wei ; Zheng, Haiying ; Zhang, Juhua
Author_Institution
Sch. of Life Sci. & Technol., Beijing Inst. of Technol., Beijing, China
Volume
3
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
1580
Lastpage
1583
Abstract
CpG island methylation is highly correlated with epigenetic gene control during mammalian development. The majority of CpG islands are normally unmethylated, but in some specifically pathological situations some of the CpG islands are prone to become methylated. Current methods about prediction of DNA methylation utilized DNA sequence features, transcription factor binding site features and histone methylation mark features. In this study, we used SVM to predict the methylation status of CpG islands from human Chromosome 22 and improved the accuracy to 90.6%. We not only used 4 DNA sequence features such as sequence length, CG ratio, C+G% content, CpG frequency and 39 transcription factor binding sites features, but also added nucleosome position features. Our results support the view that nucleosomes are preferentially targeted by DNA methyltransferases and imply that nucleosome-bound DNA regions are more prone to become methylated than flanking regions. At last, we explain why the histone methylation marks can predict DNA methylation status.
Keywords
DNA; biochemistry; biology computing; genetics; molecular biophysics; obstetrics; support vector machines; CpG island methylation; DNA methylation; DNA methyltransferases; DNA sequence features; SVM; epigenetic gene control; flanking regions; histone methylation mark features; mammalian development; nucleosome bound DNA regions; nucleosome positioning; pathological situation; transcription factor binding site features; Accuracy; Bioinformatics; Biological cells; DNA; Genomics; Humans; Support vector machines; CpG island; SVM; histone methylation; methylation; nucleosome position;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9351-7
Type
conf
DOI
10.1109/BMEI.2011.6098535
Filename
6098535
Link To Document