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正常和癌性乳腺样本中样本内共甲基化模式的初步分析

Preliminary Analysis of Within-Sample Co-methylation Patterns in Normal and Cancerous Breast Samples.

作者信息

Sun Lillian, Namboodiri Surya, Chen Emily, Sun Shuying

机构信息

Stanford University, Stanford, CA, USA.

The University of Texas at Dallas, Richardson, TX, USA.

出版信息

Cancer Inform. 2019 Oct 5;18:1176935119880516. doi: 10.1177/1176935119880516. eCollection 2019.

Abstract

DNA methylation plays a significant role in regulating the expression of certain genes in both cancerous and normal breast tissues. It is therefore important to study within-sample co-methylation, ie, methylation patterns between consecutive sites in a chromosome. In this article, we develop 2 new methods to compare co-methylation patterns between normal and cancerous breast samples. In particular, we investigate the co-methylation patterns of 4 different methylation states/levels separately. Using these 2 methods, we focus on addressing the following questions: How often does 1 methylation state change to other methylation states and how is this change dependent on chromosome distance? What co-methylation patterns do normal and cancerous breast samples have? Do genomic sites with different methylation states/levels have different co-methylation patterns? Our results show that cancerous and normal co-methylation patterns are significantly different. We find that this difference exists even when the physical distance of 2 sites are less than 50 bases. Breast cancer cell lines tend to remain in the same methylation state more often than normal samples, especially for the no/low or high/full methylation states. We also find that the co-methylation region lengths for various methylation states (no/low, partial, and high/full methylation states) are very different. For example, the co-methylation region lengths for partial methylation regions are shorter than the unmethylated or fully methylated regions. Our research may provide a deep understanding of co-methylation patterns. These co-methylation patterns will aid in discovering and understanding new methylation events that may be related to novel biomarkers.

摘要

DNA甲基化在调节癌性和正常乳腺组织中某些基因的表达方面发挥着重要作用。因此,研究样本内共甲基化,即染色体上连续位点之间的甲基化模式非常重要。在本文中,我们开发了两种新方法来比较正常和癌性乳腺样本之间的共甲基化模式。特别是,我们分别研究了4种不同甲基化状态/水平的共甲基化模式。使用这两种方法,我们专注于解决以下问题:一种甲基化状态转变为其他甲基化状态的频率有多高,以及这种转变如何依赖于染色体距离?正常和癌性乳腺样本具有哪些共甲基化模式?具有不同甲基化状态/水平的基因组位点是否具有不同的共甲基化模式?我们的结果表明,癌性和正常的共甲基化模式存在显著差异。我们发现,即使两个位点的物理距离小于50个碱基,这种差异仍然存在。乳腺癌细胞系比正常样本更倾向于更频繁地保持在相同的甲基化状态,特别是对于无/低或高/完全甲基化状态。我们还发现,各种甲基化状态(无/低、部分和高/完全甲基化状态)的共甲基化区域长度非常不同。例如,部分甲基化区域的共甲基化区域长度比未甲基化或完全甲基化区域短。我们的研究可能会提供对共甲基化模式的深入理解。这些共甲基化模式将有助于发现和理解可能与新型生物标志物相关的新甲基化事件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3b4/6778999/72cef3eaa297/10.1177_1176935119880516-fig1.jpg

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