染色质可及性分析的研究进展

在细胞核内,染色质可及性模式会随着外部刺激和发育线索的改变而发生动态变化。染色质可及性重构对于基因表达调控至关重要,在建立和维持细胞特性等方面发挥着重要作用。因此开展染色质可及性的研究对染色质功能上的三维解析具有十分重要的意义。近几年,随着高通量测序技术的进步以及测序成本的降低,基于高通量测序技术的染色质可及性分析方法得到了迅速发展。目前观察和分析全基因组染色质开放与否的常见技术主要有脱氧核糖核酸酶I超敏位点测序（DNase-seq）、微球菌核酸酶测序（MNase-seq）、甲醛辅助分离调控元件测序（FAIRE-seq）以及转座酶可及性测序（ATAC-seq）。本文比较了这4种染色质可及性分析技术的优缺点,详细介绍了它们的原理及主要实验流程,并简要讨论了它们的发展及相关技术的应用,期望通过这些互补的方法为染色质分析领域的未来发展提供一些借鉴和思路。     

染色质转座酶可及性测序研究进展

染色质转座酶可及性测序(assay for transposase-accessible chromatin with high-throughput sequencing,ATAC-seq)诞生于2013年,具有比脱氧核糖核酸酶I超敏感位点测序(deoxyribonuclease I hypersensitive site sequencing, DNase-seq)和微球菌核酸酶敏感位点测序(micrococcal nuclease sequencing, MNase-seq)更快速、灵敏、简便的优点,是目前分析全基因组范围染色质开放区域的热点技术。通过该技术能获得染色质开放区域的相关信息,从而映射出转录因子等调控蛋白的结合区域和核小体定位等信息,对于研究表观遗传分子机制具有重要意义。本文比较了5种获取染色质开放区域技术的优缺点,重点介绍了ATAC-seq的原理和主要流程,描述了利用ATAC-seq技术研究染色质开放区域的发展概况以及ATAC-seq的相关应用,期望对真核生物全基因组水平的染色质开放区域研究、顺式调控元件鉴定以及遗传调控网络的解析等提供借鉴。     

染色质可及性与植物基因表达调控

真核生物基因组上的核小体呈现不均匀分布, 转录活跃区域的染色质结构相对松散且易被调节蛋白结合, 这些区域的可接近程度称为染色质可及性。随着测序技术的发展, DNase-seq、ATAC-seq、MNase-seq和NOMe-seq等组学技术的应用, 全基因组范围内染色质可及性检测变得简便且高效。该文主要介绍了真核生物染色质可及性的4种基本检测方法的技术原理, 总结了核小体定位、组蛋白修饰以及转录因子结合与染色质可及性的关系, 并综述了染色质可及性参与植物生长发育和环境响应研究进展, 以期为植物领域全基因组水平染色质可及性研究、顺式调控元件挖掘及发育和环境响应过程中基因表达调控网络的解析提供借鉴。     

AIAP: A Quality Control and Integrative Analysis Package to Improve ATAC-seq Data Analysis

Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) is a technique widely used to investigate genome-wide chromatin accessibility. The recently published Omni-ATAC-seq protocol substantially improves the signal/noise ratio and reduces the input cell number. High-quality data are critical to ensure accurate analysis. Several tools have been developed for assessing sequencing quality and insertion size distribution for ATAC-seq data; however, key quality control (QC) metrics have not yet been established to accurately determine the quality of ATAC-seq data. Here, we optimized the analysis strategy for ATAC-seq and defined a series of QC metrics for ATAC-seq data, including reads under peak ratio (RUPr), background (BG), promoter enrichment (ProEn), subsampling enrichment (SubEn), and other measurements. We incorporated these QC tests into our recently developed ATAC-seq Integrative Analysis Package (AIAP) to provide a complete ATAC-seq analysis system, including quality assurance, improved peak calling, and downstream differential analysis. We demonstrated a significant improvement of sensitivity (20%–60%) in both peak calling and differential analysis by processing paired-end ATAC-seq datasets using AIAP. AIAP is compiled into Docker/Singularity, and it can be executed by one command line to generate a comprehensive QC report. We used ENCODE ATAC-seq data to benchmark and generate QC recommendations, and developed qATACViewer for the user-friendly interaction with the QC report. The software, source code, and documentation of AIAP are freely available at https://github.com/Zhang-lab/ATAC-seq_QC_analysis.     

Active promoters give rise to false positive ‘Phantom Peaks’ in ChIP-seq experiments

Chromatin immunoprecipitation (ChIP) is widely used to identify chromosomal binding sites. Chromatin proteins are cross-linked to their target sequences in living cells. The purified chromatin is sheared and the relevant protein is enriched by immunoprecipitation with specific antibodies. The co-purifying genomic DNA is then determined by massive parallel sequencing (ChIP-seq).We applied ChIP-seq to map the chromosomal binding sites for two ISWI-containing nucleosome remodeling factors, ACF and RSF, in Drosophila embryos. Employing several polyclonal and monoclonal antibodies directed against their signature subunits, ACF1 and RSF-1, robust profiles were obtained indicating that both remodelers co-occupied a large set of active promoters.Further validation included controls using chromatin of mutant embryos that do not express ACF1 or RSF-1. Surprisingly, the ChIP-seq profiles were unchanged, suggesting that they were not due to specific immunoprecipitation. Conservative analysis lists about 3000 chromosomal loci, mostly active promoters that are prone to non-specific enrichment in ChIP and appear as ‘Phantom Peaks’. These peaks are not obtained with pre-immune serum and are not prominent in input chromatin.Mining the modENCODE ChIP-seq profiles identifies potential Phantom Peaks in many profiles of epigenetic regulators. These profiles and other ChIP-seq data featuring prominent Phantom Peaks must be validated with chromatin from cells in which the protein of interest has been depleted.     

联合应用RNA-seq和ATAC-seq寻找FOXQ1转录因子的下游靶基因

结直肠癌(Colorectal cancer, CRC)是一种全球高发的恶性肿瘤,发病原因复杂且预后较差。近年来发现叉头框Q1(Forkhead box Q1,FOXQ1)基因作为一类核转录因子在结直肠癌中高表达,可控制下游基因转录活性。本实验拟探究CRC细胞中FOXQ1的转录调控功能并寻找其下游基因。方法:(1)构建低表达FOXQ1基因的稳定转染CRC细胞株;(2)应用RNA-seq检测FOXQ1敲低前后表达量显著差异的基因;(3)应用转座酶可接近性核染色质区域测序分析(Assay for Transposase-Accessible Chromatin using sequencing, ATAC-seq)检测FOXQ1敲低前后细胞染色质易接近性的变化;(4)进一步对FOXQ1敲低前后的RNA-seq和ATAC-seq数据进行一系列生物信息学分析,寻找CRC中FOXQ1转录调控的潜在下游基因。结果:应用RNA-seq筛选出了敲低FOXQ1后表达显著差异的基因EI24、TLR2、SMAD3,通过联合分析两细胞系的测序结果,发现FOXQ1基因敲低后,在DLD1和SW480两个细胞系中染色质易接近性均增强且表达量均上调的基因有61个,染色质易接近性均减弱且表达量均下调的基因有70个,且EI24、TLR2、SMAD3基因均位于重叠分析结果中,其中TLR2、SMAD3基因的染色质区域有明显变化,而EI24基因的染色质区域变化不明显。通过代谢通路分析找到了EI24、TLR2、SMAD3基因所富集的代谢通路。其中SMAD3、TLR2基因在炎症性肠病(Inflammatory bowel disease, IBD)通路中显著富集。EI24基因在p53信号通路(p53 signaling pathway)通路中显著富集。结论:基于染色质易接近性的变化和转录水平的研究发现:敲低FOXQ1基因对CRC细胞系中染色质的开放情况有较大的影响,且影响FOXQ1转录调控的下游基因的表达。找到了FOXQ1敲低后在SW480、DLD1中均发生变化的基因,为丰富FOXQ1转录因子的下游调控网络提供了研究基础。     

Automating ChIP-seq Experiments to Generate Epigenetic Profiles on 10,000 HeLa Cells

Chromatin immunoprecipitation followed by next generation sequencing (ChIP-seq) is a technique of choice for studying protein-DNA interactions. ChIP-seq has been used for mapping protein-DNA interactions and allocating histones modifications. The procedure is tedious and time consuming, and one of the major limitations is the requirement for high amounts of starting material, usually millions of cells. Automation of chromatin immunoprecipitation assays is possible when the procedure is based on the use of magnetic beads. Successful automated protocols of chromatin immunoprecipitation and library preparation have been specifically designed on a commercially available robotic liquid handling system dedicated mainly to automate epigenetic assays. First, validation of automated ChIP-seq assays using antibodies directed against various histone modifications was shown, followed by optimization of the automated protocols to perform chromatin immunoprecipitation and library preparation starting with low cell numbers. The goal of these experiments is to provide a valuable tool for future epigenetic analysis of specific cell types, sub-populations, and biopsy samples.     

Whole-genome chromatin profiling from limited numbers of cells using nano-ChIP-seq

Chromatin immunoprecipitation (ChIP) combined with high-throughput sequencing (ChIP-seq) has become the gold standard for whole-genome mapping of protein-DNA interactions. However, conventional ChIP protocols necessitate the use of large numbers of cells, and library preparation steps associated with current high-throughput sequencing platforms require substantial amounts of DNA; both of these factors preclude the application of ChIP-seq technology to many biologically important but rare cell types. Here we describe a nano-ChIP-seq protocol that combines a high-sensitivity small-scale ChIP assay and a tailored procedure for generating high-throughput sequencing libraries from scarce amounts of ChIP DNA. In terms of the numbers of cells required, the method provides two to three orders of magnitude of improvement over the conventional ChIP-seq method and the entire procedure can be completed within 4 d.