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dc.contributor.authorSun, Lillian
dc.contributor.authorSun, Shuying
dc.date.accessioned2019-07-30T17:48:55Z
dc.date.available2019-07-30T17:48:55Z
dc.date.issued2019
dc.identifier.citationSun, L., & Sun, S. (2019). Within-sample co-methylation patterns in normal tissues. BioData Mining, 12(9).
dc.identifier.issn1756-0381
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/8420
dc.description.abstractBackground: DNA methylation is an epigenetic event that may regulate gene expression. Because of this regulation role, aberrant DNA methylation is often associated with many diseases. Within-sample DNA co-methylation is the similarity of methylation in nearby cytosine sites of a chromosome. It is important to study comethylation patterns. However, it is not well studied yet, and it is unclear to us what co-methylation patterns normal DNA samples have. Are the co-methylation patterns of the same tissue across several samples different? Are the co-methylation patterns of various tissues of the same sample different? To answer these questions, we conduct analyses using two sets of data: 3-sample-1-tissue (3S1T) and 1-sample-8-tissue (1S8T). Results: To study the co-methylation patterns of the two datasets, 3S1T and 1S8T, we investigate the following questions: How often does one methylation state change to other methylation states and how is this change associated with chromosome distance? Based on the 3S1T data, we find there is not significant co-methylation difference among the same spleen tissues of three different samples. However, the analysis results of 1S8T data show that there were significant differences among eight tissues of one sample. For both 3S1T and 1S8T data, we find that the no/low methylation state A and high/full methylation state D tend to remain the same along a chromosome region. We also find that the low/partial methylation state B and partial/high methylation state C tend to change to higher methylation states along a chromosome. Finally, we find that lengths of most co-methylation regions are very short with only a few hundred base pairs. In fact, only a small proportion of methylated regions are longer than 1000 base pairs. Conclusions: In this paper, we have addressed a few questions regarding within-sample co-methylation patterns in normal tissues. Our statistical analysis results and answers may help researchers to better understand the biological process of DNA methylation. This may pave the way to develop better analysis methods for future methylation research.en_US
dc.formatText
dc.format.extent22 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.sourceBioData Mining, 2019, Vol. 12, No. 9
dc.subjectWithin-sampleen_US
dc.subjectCo-methylation
dc.subjectNormal tissue
dc.subjectStatistical analysis
dc.titleWithin-sample Co-methylation Patterns in Normal Tissuesen_US
txstate.documenttypeArticle
dc.identifier.doihttps://doi.org/10.1186/s13040-019-0198-8
dc.rights.licenseThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0) applies to the date made available in this article, unless otherwise stated.
txstate.departmentMathematics


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