Novel statistical tools for cell line specific epigenetic analysis

描述（由申请人提供）：基因转录是一个复杂而严格调控的过程。越来越多的证据表明，它受到以转录因子（TF）为主的调节蛋白和表观遗传修饰的共同调控。tf在基因转录调控中的作用已被广泛研究，但对表观遗传修饰的作用了解甚少。DNA甲基化也是新近发现的基因转录的关键控制因素。异常的DNA甲基化变化可引起许多人类疾病，如发育性疾病（ICF综合征、Prader-Willi综合征和Angelman综合征等）、衰老相关疾病（即阿尔茨海默病）、心脏病、糖尿病和自身免疫性疾病。此外，大量证据表明DNA甲基化是癌症发展的关键因素。该项目的总体目标是开发一套新的统计工具来识别差异表达的DNA甲基化模式，并了解DNA甲基化在基因转录调控中的作用。特别是，我们打算实现三个科学目标：1)提高识别基于单核苷酸的DNA甲基化变化的敏感性和特异性；2)利用充分降维模型弥补DNA甲基化分析和基因表达分析的研究空白；

DESCRIPTION (provided by applicant): Gene transcription is a complex and tightly regulated process. Accumulating evidence has indicated that it was concertedly regulated by regulatory proteins, mainly transcription factors (TF), and epigenetic modifications. The role of TFs in the regulation of gene transcription has been extensively studied, but much less understood is the role of epigenetic modification. DNA methylation has been newly discovered as key controller in gene transcription too. Aberrant DNA methylation changes can cause a number of human diseases such as developmental diseases (ICF syndrome, Prader-Willi and Angelman syndromes etc), aging related diseases (i.e. Alzheimer's disease), heart disease, diabetes, and autoimmune diseases. Moreover, large amount of evidence implicated that DNA methylation is a key player in cancer development. The overarching goal of this project is to develop a set of novel statistical tools to identify the differentially expressed DNA methylation patterns and understand the roles of DNA methylation in gene transcriptional regulation. In particular, we intends to achieve three scientific goals: 1) improving the sensitivity and specificity in identifyng the single nucleotide based DNA methylation change; 2) bridging the research gap in DNA methylation analysis and gene expression analysis by using the sufficient dimension reduction model; 3) developing a new statistical framework to overcome the grand challenges in epigenetic analysis and build the mathematical underpinning. With the rapid development of next generation sequencing technique in the past decades, where large amount of epigenetic and genomic data are routinely collected, processed and stored, we believe our efforts will not only extend our understanding of the regulatory mechanism in gene transcription but also lead to (1) fundamental advances in DNA methylation analysis, (2) development and refinement of technology for the rapid and continuous identification of gene regulation related DNA methylation cites, (3) prototyping of the epigenetic chip for human intervention of certain disease.