Comprehensive analysis of the chromatin landscape in Drosophila melanogaster

Chromatin is composed of DNA and a variety of modified histones and non-histone proteins, which have an impact on cell differentiation, gene regulation and other key cellular processes. Here we present a genome-wide chromatin landscape for Drosophila melanogaster based on eighteen histone modifications, summarized by nine prevalent combinatorial patterns. Integrative analysis with other data (non-histone chromatin proteins, DNase I hypersensitivity, GRO-Seq reads produced by engaged polymerase, short/long RNA products) reveals discrete characteristics of chromosomes, genes, regulatory elements and other functional domains. We find that active genes display distinct chromatin signatures that are correlated with disparate gene lengths, exon patterns, regulatory functions and genomic contexts. We also demonstrate a diversity of signatures among Polycomb targets that include a subset with paused polymerase. This systematic profiling and integrative analysis of chromatin signatures provides insights into how genomic elements are regulated, and will serve as a resource for future experimental investigations of genome structure and function.     

Mapping and analysis of chromatin state dynamics in nine human cell types

Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease.     

In vivo enhancer analysis of human conserved non-coding sequences

Identifying the sequences that direct the spatial and temporal expression of genes and defining their function in vivo remains a significant challenge in the annotation of vertebrate genomes. One major obstacle is the lack of experimentally validated training sets. In this study, we made use of extreme evolutionary sequence conservation as a filter to identify putative gene regulatory elements, and characterized the in vivo enhancer activity of a large group of non-coding elements in the human genome that are conserved in human-pufferfish, Takifugu (Fugu) rubripes, or ultraconserved in human-mouse-rat. We tested 167 of these extremely conserved sequences in a transgenic mouse enhancer assay. Here we report that 45% of these sequences functioned reproducibly as tissue-specific enhancers of gene expression at embryonic day 11.5. While directing expression in a broad range of anatomical structures in the embryo, the majority of the 75 enhancers directed expression to various regions of the developing nervous system. We identified sequence signatures enriched in a subset of these elements that targeted forebrain expression, and used these features to rank all approximately 3,100 non-coding elements in the human genome that are conserved between human and Fugu. The testing of the top predictions in transgenic mice resulted in a threefold enrichment for sequences with forebrain enhancer activity. These data dramatically expand the catalogue of human gene enhancers that have been characterized in vivo, and illustrate the utility of such training sets for a variety of biological applications, including decoding the regulatory vocabulary of the human genome.     

染色质转座酶可及性测序及其在木本植物中的应用前景

染色质转座酶可及性测序 (assay for transposase-accessible chromatin with high-throughput sequencing, ATAC-seq)是2013年在人类免疫细胞中建立的用于研究表观遗传调控的重要技术。该技术已在人类及小鼠等模式动物的基因组调控元件鉴定、转录因子结合位点识别及转录调控机制的解析等研究领域发挥了重要作用。然而,ATAC-seq技术在植物领域中的研究应用还处于起步阶段,相关研究主要集中在拟南芥和水稻等模式植物中。笔者主要概述了ATAC-seq技术在植物中的应用,包括染色质可及性图谱绘制、抗逆机制解析、表观修饰鉴定及调控元件识别等领域的研究进展,并进一步阐述了ATAC-seq在木本植物中的应用潜力,以推动ATAC-seq技术在木本植物表观基因组学研究中的应用。     

人IDE基因启动子生物信息学分析

对人IDE基因启动子进行生物信息学分析以获得人IDE基因启动子、CpG岛及转录因子结合位点特征.从UCSC基因组数据库成功获得人IDE基因5’调控区2 000 bp序列.Promoter 2.0、FPROM、NNPP预测人IDE基因分别有3个、2个、6个启动子.Relative profile score threshold选择80%、85%、90%、95%、100%时,JASPAR预测该序列存在5170、1771、454、87和5个可能的转录因子结合位点.Relative profile score threshold选择80%,搜索到6个潜在的TCF7L2转录因子结合位点.采用进化足迹法,LAGAN预测方法获得位于人和小鼠同源IDE基因启动子保守区域相同位置的转录因子结合位点为14个,包含转录因子SPI-1、cap、c-FOS、FREAC-3、c-ETS、Cdxa、HSF2等.发现一个CpG岛,位于1 303～1 705 bp 之间,大小为403 bp.人IDE基因启动子、CpG岛及转录因子结合位点的生物学信息学分析,为下一步基因表达调控实验奠定了基础.