整合冠心病风险SNPs功能及分子网络特征筛选疾病易感基因

目的:冠心病(Coronary Heart Disease,CHD)是一种由多因素(遗传因素、环境因素以及它们之间的相互作用)引起的复杂疾病。本文从遗传因素和分子互作模式识别新的冠心病易感基因。方法:结合冠心病群体遗传SNPs数据和PPI数据,通过群体遗传数据的风险评估、功能SNPs的判定和PPI网络基因的分类,以功能SNPs属性、网络拓扑属性和基因功能属性为特征,利用两步分类的方法筛选新的冠心病易感基因。结果:获得了69个新的冠心病易感基因,其中43个被文献证实与冠心病的发生发展密切相关,且识别的新的易感基因注释的KEGG通路中有很多是已知的易感基因所没有注释到的,如MAPK signaling pathway,Calcium signaling pathway,Focal adhesion和Chemokine signaling pathway等,其中Chemokine signaling pathway被证实是CHD发展的关键通路。结论:应用本文提出的整合筛选策略,能识别与冠心病相关的新的易感基因,可为冠心病的预防、诊断和治疗提供新的研究方向。     

NGF/PI3K signaling-mediated epigenetic regulation of delta opioid receptor gene expression

The G protein-coupled delta opioid receptor gene (dor) has been associated with neuronal survival, differentiation, and neuroprotection. Our previous study identified PI3K/Akt/NF-κB signaling is a main downstream signaling pathway in nerve growth factor (NGF)-induced temporal expression of the dor gene in the PC12 cell model. It is still unknown how NGF/PI3K signaling regulates the expression of the dor gene in the nucleus. In the current study, we investigated how PI3K signaling affected epigenetic modifications of histone H3 Lys⁹ (H3K9) in the 5′-UTR region of the rat dor gene locus. NGF treatment resulted in the global reversal of H3K9 trimethylation in cells. Moreover, the locus-specific reversal of H3K9 trimethylation and acetylation of H3K9 were dependent upon NGF/PI3K signaling and temporally well correlated with NGF-induced gene expression. These results indicate the importance of epigenetic modifications of H3K9, particularly the reversal of trimethylated H3K9, in the regulation of NGF/PI3K-dependent genes during neuronal differentiation.     

Co-regulation of histone-modifying enzymes in cancer

Cancer is characterized by aberrant patterns of expression of multiple genes. These major shifts in gene expression are believed to be due to not only genetic but also epigenetic changes. The epigenetic changes are communicated through chemical modifications, including histone modifications. However, it is unclear whether the binding of histone-modifying proteins to genomic regions and the placing of histone modifications efficiently discriminates corresponding genes from the rest of the genes in the human genome. We performed gene expression analysis of histone demethylases (HDMs) and histone methyltransferases (HMTs), their target genes and genes with relevant histone modifications in normal and tumor tissues. Surprisingly, this analysis revealed the existence of correlations in the expression levels of different HDMs and HMTs. The observed HDM/HMT gene expression signature was specific to particular normal and cancer cell types and highly correlated with target gene expression and the expression of genes with histone modifications. Notably, we observed that trimethylation at lysine 4 and lysine 27 separated preferentially expressed and underexpressed genes, which was strikingly different in cancer cells compared to normal cells. We conclude that changes in coordinated regulation of enzymes executing histone modifications may underlie global epigenetic changes occurring in cancer.     

The great escape

Epigenetic mechanisms precisely regulate sex chromosome inactivation as well as genes that escape the silencing process. In male germ cells, DNA damage response factor RNF8 establishes active epigenetic modifications on the silent sex chromosomes during meiosis, and activates escape genes during a state of sex chromosome-wide silencing in postmeiotic spermatids. During the course of evolution, the gene content of escape genes in postmeiotic spermatids recently diverged on the sex chromosomes. This evolutionary feature mirrors the epigenetic processes of sex chromosomes in germ cells. In this article, we describe how epigenetic processes have helped to shape the evolution of sex chromosome-linked genes. Furthermore, we compare features of escape genes on sex chromosomes in male germ cells to escape genes located on the single X chromosome silenced during X-inactivation in females, clarifying the distinct evolutionary implications between male and female escape genes.     

The role of epigenetic processes in controlling flowering time in plants exposed to stress

Plants interact with their environment by modifying gene expression patterns. One mechanism for this interaction involves epigenetic modifications that affect a number of aspects of plant growth and development. Thus, the epigenome is highly dynamic in response to environmental cues and developmental changes. Flowering is controlled by a set of genes that are affected by environmental conditions through an alteration in their expression pattern. This ensures the production of flowers even when plants are growing under adverse conditions, and thereby enhances transgenerational seed production. In this review recent findings on the epigenetic changes associated with flowering in Arabidopsis thaliana grown under abiotic stress conditions such as cold, drought, and high salinity are discussed. These epigenetic modifications include DNA methylation, histone modifications, and the production of micro RNAs (miRNAs) that mediate epigenetic modifications. The roles played by the phytohormones abscisic acid (ABA) and auxin in chromatin remodelling are also discussed. It is shown that there is a crucial relationship between the epigenetic modifications associated with floral initiation and development and modifications associated with stress tolerance. This relationship is demonstrated by the common epigenetic pathways through which plants control both flowering and stress tolerance, and can be used to identify new epigenomic players.     

Integrated epigenome profiling of repressive histone modifications, DNA methylation and gene expression in normal and malignant urothelial cells

Epigenetic regulation of gene expression is commonly altered in human cancer. We have observed alterations of DNA methylation and microRNA expression that reflect the biology of bladder cancer. This common disease arises by distinct pathways with low and high-grade differentiation. We hypothesized that epigenetic gene regulation reflects an interaction between histone and DNA modifications, and differences between normal and malignant urothelial cells represent carcinogenic events within bladder cancer. To test this we profiled two repressive histone modifications (H3K9m3 and H3K27m3) using ChIP-Seq, cytosine methylation using MeDIP and mRNA expression in normal and malignant urothelial cell lines. In genes with low expression we identified H3K27m3 and DNA methylation each in 20-30% of genes and both marks in 5% of genes. H3K9m3 was detected in 5-10% of genes but was not associated with overall expression. DNA methylation was more closely related to gene expression in malignant than normal cells. H3K27m3 was the epigenetic mark most specifically correlated to gene silencing. Our data suggest that urothelial carcinogenesis is accompanied by a loss of control of both DNA methylation and H3k27 methylation. From our observations we identified a panel of genes with cancer specific-epigenetic mediated aberrant expression including those with reported carcinogenic functions and members potentially mediating a positive epigenetic feedback loop. Pathway enrichment analysis revealed genes marked by H3K9m3 were involved with cell homeostasis, those marked by H3K27m3 mediated pro-carcinogenic processes and those marked with cytosine methylation were mixed in function. In 150 normal and malignant urothelial samples, our gene panel correctly estimated expression in 65% of its members. Hierarchical clustering revealed that this gene panel stratified samples according to the presence and phenotype of bladder cancer.     

Genome-wide analysis of epigenetic dynamics across human developmental stages and tissues

Background

Epigenome is highly dynamic during the early stages of embryonic development. Epigenetic modifications provide the necessary regulation for lineage specification and enable the maintenance of cellular identity. Given the rapid accumulation of genome-wide epigenomic modification maps across cellular differentiation process, there is an urgent need to characterize epigenetic dynamics and reveal their impacts on differential gene regulation.

Methods

We proposed DiffEM, a computational method for differential analysis of epigenetic modifications and identified highly dynamic modification sites along cellular differentiation process. We applied this approach to investigating 6 epigenetic marks of 20 kinds of human early developmental stages and tissues, including hESCs, 4 hESC-derived lineages and 15 human primary tissues.

Results

We identified highly dynamic modification sites where different cell types exhibit distinctive modification patterns, and found that these highly dynamic sites enriched in the genes related to cellular development and differentiation. Further, to evaluate the effectiveness of our method, we correlated the dynamics scores of epigenetic modifications with the variance of gene expression, and compared the results of our method with those of the existing algorithms. The comparison results demonstrate the power of our method in evaluating the epigenetic dynamics and identifying highly dynamic regions along cell differentiation process.

     

Chromatin dynamics in kidney development and function

Epigenetic mechanisms are fundamental key features of developing cells connecting developmental regulatory factors to chromatin modification. Changes in the environment during renal development can have long-lasting effects on the permanent tissue structure and the level of expression of important functional genes. These changes are believed to contribute to kidney disease occurrence and progression. Although the mechanisms of early patterning and cell fate have been well described for renal development, little is known about associated epigenetic modifications and their impact on how genes interact to specify the renal epithelial cells of nephrons and how this specification is relevant to maintaining normal renal function. A better understanding of the renal cell-specific epigenetic modifications and the interaction of different cell types to form this highly complex organ will not only help to better understand developmental defects and early loss of kidney function in children, but also help to understand and improve chronic disease progression, cell regeneration and renal aging.     

Technologies for targeting DNA methylation modifications: Basic mechanism and potential application in cancer

DNA methylation abnormalities are regarded as critical event for cancer initiation and development. Tumor-associated genes encompassing aberrant DNA methylation alterations at specific locus are correlated with chromatin remodeling and dysregulation of gene expression in various malignancies. Thus, technologies designed to manipulate DNA methylation at specific loci of genome are necessary for the functional study and therapeutic application in the context of cancer management. Traditionally, the method for DNA methylation modifications demonstrates an unspecific feature, adversely causing global-genome epigenetic alterations and confusing the function of desired gene. Novel approaches for targeted DNA methylation regulation have a great advantage of manipulating gene epigenetic alterations in a more specific and efficient method. In this review, we described different targeting DNA methylation techniques, including both their advantages and limitations. Through a comprehensive understanding of these targeting tools, we hope to open a new perspective for cancer treatment.     

Dissecting Genomic Determinants of Positive Selection with an Evolution-Guided Regression Model

In evolutionary genomics, it is fundamentally important to understand how characteristics of genomic sequences, such as gene expression level, determine the rate of adaptive evolution. While numerous statistical methods, such as the McDonald–Kreitman (MK) test, are available to examine the association between genomic features and the rate of adaptation, we currently lack a statistical approach to disentangle the independent effect of a genomic feature from the effects of other correlated genomic features. To address this problem, I present a novel statistical model, the MK regression, which augments the MK test with a generalized linear model. Analogous to the classical multiple regression model, the MK regression can analyze multiple genomic features simultaneously to infer the independent effect of a genomic feature, holding constant all other genomic features. Using the MK regression, I identify numerous genomic features driving positive selection in chimpanzees. These features include well-known ones, such as local mutation rate, residue exposure level, tissue specificity, and immune genes, as well as new features not previously reported, such as gene expression level and metabolic genes. In particular, I show that highly expressed genes may have a higher adaptation rate than their weakly expressed counterparts, even though a higher expression level may impose stronger negative selection. Also, I show that metabolic genes may have a higher adaptation rate than their nonmetabolic counterparts, possibly due to recent changes in diet in primate evolution. Overall, the MK regression is a powerful approach to elucidate the genomic basis of adaptation.