基础医学与临床 ›› 2014, Vol. 34 ›› Issue (7): 939-944.

• 研究论文 • 上一篇    下一篇

ChIP-seq比较分析人体心脏和脾脏的H3K9三甲基化差异

薛雯1,曹翠辉1,眭维国1,车文体1,陈洁晶1,郭丽1,戴勇2   

  1. 1. 广西代谢性疾病研究重点实验室
    2. 暨南大学第二临床医学院 (深圳市人民医院)
  • 收稿日期:2013-09-26 修回日期:2014-01-11 出版日期:2014-07-05 发布日期:2014-06-24
  • 通讯作者: 戴勇 E-mail:daiyong2222@gmail.com
  • 基金资助:
    广西自然科学基金重点项目;广西科技基础设施建设项目计划;广西重点实验室建设项目计划

Analysis of difference in histone H3K9 trimethylations between heart and spleen of the normal human Organs by ChIP-seq

  • Received:2013-09-26 Revised:2014-01-11 Online:2014-07-05 Published:2014-06-24

摘要: 目的 分析人体器官心脏和脾脏的H3K9me3的全基因图谱,发现H3K9三甲基化的修饰与组织特异性的表达、功能和发育具有相关性。方法 通过染色质免疫共沉淀的方法获取各标本DNA,通过qPCR验证ChIP结果,然后构建ChIP Sequencing文库,与目的基因组序列比对,获取比对Reads,接着进行全基因组的Peak分析,GO功能富集分析peak相关基因的生物学功能。结果 心脏和脾脏间有169个基因有显著地H3K9me3差异,其中心脏中H3K9me3的基因中有64个特殊基因,脾脏中H3K9me3的基因中有87个特殊基因。从这些基因中,挑选出8个表现H3K9me3 明显的基因,然后再从这8个基因中挑选出两个心脏和脾脏间表现H3K9me3差异最明显的基因,分别是PTPN3和RBMS。结论H3K9me3差异可作为一个潜在的生物标志物或是表观遗传疾病的治疗靶点。

关键词: H3K9me3, ChIP-seq, 表观遗传学

Abstract: Objective In this work, it showed that modifications are closely-associated with tissue-specific expression, function and development by generating the genome-wide maps of H3K9me3 of human heart and spleen. Methods The DNA of samples were extracted by Chromatin immunoprecipitation. The ChIP results were validated by qPCR.Then building the ChIP Sequencing library, contrasting with the target genome sequence to obtain compared Reads. And peak analysis the whole genome, GO enrichment analysis the biological functions of the related genes of peak. Results It found that 169 genes displayed significant H3K9me3 differences between heart and spleen. Among these genes, 64 genes are the special genes in heart-H3K9me3; 87 genes are the special genes in spleen-H3K9me3. From these genes, select eight genes of H3K9 which were significantly expression. Then selecting two genes of H3K9 which were the most significant difference expression from the eight genes.They are PTPN3 and RBMS. Conclusion Above the findings show the significance of H3K9me3 as a potential biomarker or promising target for epigenetic-based disease treatment.

Key words: H3K9me3, ChIP-seq, epigenetic