DNA methylation profiling distinguishes three clusters of breast cancer cell lines.
DNA methylation profiling distinguishes three clusters of breast cancer cell lines.
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DOI：
10.1002/cbdv.201100354
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发表时间：
2012-05
影响因子：
2.9
通讯作者：
Zhao, Zhongming
中科院分区：
文献类型：
--
作者：
Zheng, Siyuan;Zhao, Zhongming
关键词：
甲基化变化在许多细胞系统中起着重要作用，包括癌症的发展。近年来，由于高通量生物技术的快速发展，全基因组或大规模甲基化数据已经成为可能。到目前为止，研究人员一直使用基因表达谱来研究疾病亚型和相关治疗。在这项研究中，我们利用微阵列技术产生的甲基化数据研究了30种乳腺癌细胞系的甲基化谱。在这30个细胞系中，甲基化峰的数量存在较大的差异；然而，基因的上游区域比下游区域发现了更多的峰。我们进一步将这些细胞系的甲基化谱分成三个一致的簇。最后，我们使用甲基化和基因表达谱数据对乳腺癌细胞系进行了综合分析。甲基化谱亚型与基因表达谱亚型之间没有显著相关性，表明甲基化在基因表达调控中的复杂性。然而，我们发现基底B细胞系只出现在两个甲基化簇中。虽然这些结果是初步的，但这项研究表明甲基化分析可能在疾病亚型分类和治疗策略的制定方面有希望。
Methylation change plays an important role in many cellular systems, including cancer development. During recent years, genome-wide or large scale methylation data has become available thanks to rapid advances in high-throughput biotechnologies. So far, researchers have always used gene expression profiling to study disease subtypes and related therapies. In this study, we investigated methylation profiles in 30 breast cancer cell lines using methylation data generated by microarray technologies. Strong variation of the number of methylation peaks was found among these 30 cell lines; however, more peaks were found in the upstream regions than downstream regions of genes. We further grouped the methylation profiles of these cell lines into three consensus clusters. Finally, we performed an integrative analysis of breast cancer cell lines using both methylation and gene expression profiling data. There was no significant correlation between methylation profiling subtypes and gene expression profiling subtypes, suggesting the complex nature of methylation in the regulation of gene expression. However, we found basal B cell lines appeared exclusively in two methylation clusters. Although these results are preliminary, this study suggests that methylation profiling might be promising in disease subtype classification and the development of therapeutic strategies.
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影响因子：
4.4
作者：
Han, Leng;Zhao, Zhongming
通讯作者：
Zhao, Zhongming
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
3.5
作者：
Huang, THM;Perry, MR;Laux, DE
通讯作者：
Laux, DE
DOI：
10.1073/pnas.091062498
发表时间：
2001-04-24
影响因子：
11.1
作者：
Tusher, VG;Tibshirani, R;Chu, G
通讯作者：
Chu, G
影响因子：
50.3
作者：
Neve, Richard M.;Chin, Koei;Gray, Joe W.
通讯作者：
Gray, Joe W.