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ChARM:利用关联规则挖掘在乙型肝炎病毒X转化的小鼠肝癌中发现组合性染色质修饰模式

ChARM: Discovery of combinatorial chromatin modification patterns in hepatitis B virus X-transformed mouse liver cancer using association rule mining.

作者信息

Park Sung Hee, Lee Sun-Min, Kim Young-Joon, Kim Sangsoo

机构信息

Department of Bioinformatics and Life Science, Soongsil University, Seoul, 156-743, Republic of Korea.

Department of Biochemistry, College of Life Science and Technology, Yonsei University, Seoul, 120-749, Republic of Korea.

出版信息

BMC Bioinformatics. 2016 Dec 13;17(Suppl 16):452. doi: 10.1186/s12859-016-1307-z.

Abstract

BACKGROUND

Various chromatin modifications, identified in large-scale epigenomic analyses, are associated with distinct phenotypes of different cells and disease phases. To improve our understanding of these variations, many computational methods have been developed to discover novel sites and cell-specific chromatin modifications. Despite the availability of existing methods, there is still room for further improvement when they are applied to resolve the histone code hypothesis. Hence, we aim to investigate the development of a computational method to provide new insights into de novo combinatorial pattern discovery of chromatin modifications to characterize epigenetic variations in distinct phenotypes of different cells.

RESULTS

We report a new computational approach, ChARM (Combinatorial Chromatin Modification Patterns using Association Rule Mining), that can be employed for the discovery of de novo combinatorial patterns of differential chromatin modifications. We used ChARM to analyse chromatin modification data from the livers of normal (non-cancerous) mice and hepatitis B virus X (HBx)-transgenic mice with hepatocellular carcinoma, and discovered 2,409 association rules representing combinatorial chromatin modification patterns. Among these, the combination of three histone modifications, a loss of H3K4Me3 and gains of H3K27Me3 and H3K36Me3, was the most striking pattern associated with the cancer. This pattern was enriched in functional elements of the mouse genome such as promoters, coding exons and 5'UTR with high CpG content, and CpG islands. It also showed strong correlations with polymerase activity at promoters and DNA methylation levels at gene bodies. We found that 30 % of the genes associated with the pattern were differentially expressed in the HBx compared to the normal, and 78.9 % of these genes were down-regulated. The significant canonical pathways (Wnt/ß-catenin, cAMP, Ras, and Notch signalling) that were enriched in the pattern could account for the pathogenesis of HBx.

CONCLUSIONS

ChARM, an unsupervised method for discovering combinatorial chromatin modification patterns, can identify histone modifications that occur globally. ChARM provides a scalable framework that can easily be applied to find various levels of combination patterns, which should reflect a range of globally common to locally rare chromatin modifications.

摘要

背景

在大规模表观基因组分析中鉴定出的各种染色质修饰与不同细胞和疾病阶段的不同表型相关。为了增进我们对这些变异的理解,已经开发了许多计算方法来发现新的位点和细胞特异性染色质修饰。尽管有现有方法,但在应用它们来解决组蛋白编码假说时仍有进一步改进的空间。因此,我们旨在研究一种计算方法的开发,以提供关于染色质修饰的从头组合模式发现的新见解,从而表征不同细胞不同表型中的表观遗传变异。

结果

我们报告了一种新的计算方法ChARM(使用关联规则挖掘的组合染色质修饰模式),可用于发现差异染色质修饰的从头组合模式。我们使用ChARM分析了来自正常(非癌性)小鼠肝脏和患有肝细胞癌的乙型肝炎病毒X(HBx)转基因小鼠的染色质修饰数据,并发现了2409条代表组合染色质修饰模式的关联规则。其中,三种组蛋白修饰的组合,即H3K4Me3的缺失以及H3K27Me3和H3K36Me3的增加,是与癌症相关的最显著模式。这种模式在小鼠基因组的功能元件中富集,如启动子、编码外显子和具有高CpG含量的5'UTR以及CpG岛。它还与启动子处的聚合酶活性和基因体处的DNA甲基化水平显示出强相关性。我们发现与该模式相关的基因中有30%在HBx中与正常相比存在差异表达,其中78.9%的基因被下调。该模式中富集的重要经典通路(Wnt/β-连环蛋白、cAMP、Ras和Notch信号通路)可以解释HBx的发病机制。

结论

ChARM是一种用于发现组合染色质修饰模式的无监督方法,可以识别全局发生的组蛋白修饰。ChARM提供了一个可扩展的框架,可以轻松应用于找到各种水平的组合模式,这些模式应该反映一系列从全局常见到局部罕见的染色质修饰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ac7/5249029/9f44a9ce7c56/12859_2016_1307_Fig1_HTML.jpg

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