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。     

ATAC-seq在复杂疾病研究中的应用进展

染色质转座酶可及性测序(assay for transposase-accessible chromatin with high-throughput sequencing,ATAC-seq)是利用Tn5转座酶研究染色质可及性的高通量测序技术。ATAC-seq可以在全基因组范围内绘制染色质可及性图谱,揭示转录因子结合位点以及核小体的位置。在医学领域,ATAC-seq技术是研究重大疾病发病机制、药物作用机制、新药研发和生物标志物功能等的新一代有力工具。本文对ATAC-seq技术的优势及其在复杂疾病研究中的应用和前景进行了综述,以期为人类复杂疾病基因表达调控机制等相关研究的开展提供借鉴与参考。     

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。     

CoBRA: Containerized Bioinformatics Workflow for Reproducible ChIP/ATAC-seq Analysis

Chromatin immunoprecipitation sequencing (ChIP-seq) and the Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) have become essential technologies to effectively measure protein–DNA interactions and chromatin accessibility. However, there is a need for a scalable and reproducible pipeline that incorporates proper normalization between samples, correction of copy number variations, and integration of new downstream analysis tools. Here we present Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis (CoBRA), a modularized computational workflow which quantifies ChIP-seq and ATAC-seq peak regions and performs unsupervised and supervised analyses. CoBRA provides a comprehensive state-of-the-art ChIP-seq and ATAC-seq analysis pipeline that can be used by scientists with limited computational experience. This enables researchers to gain rapid insight into protein–DNA interactions and chromatin accessibility through sample clustering, differential peak calling, motif enrichment, comparison of sites to a reference database, and pathway analysis. CoBRA is publicly available online at https://bitbucket.org/cfce/cobra     

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。     

NEUROD1 Intrinsically Initiates Differentiation of Induced Pluripotent Stem Cells into Neural Progenitor Cells

Cell type specification is a delicate biological event in which every step is under tight regulation. From a molecular point of view, cell fate commitment begins with chromatin alteration, which kickstarts lineage-determining factors to initiate a series of genes required for cell specification. Several important neuronal differentiation factors have been identified from ectopic over-expression studies. However, there is scarce information on which DNA regions are modified during induced pluripotent stem cell (iPSC) to neuronal progenitor cell (NPC) differentiation, the cis regulatory factors that attach to these accessible regions, or the genes that are initially expressed. In this study, we identified the DNA accessible regions of iPSCs and NPCs via the Assay for Transposase-Accessible Chromatin sequencing (ATAC-seq). We identified which chromatin regions were modified after neuronal differentiation and found that the enhancer regions had more active histone modification changes than the promoters. Through motif enrichment analysis, we found that NEUROD1 controls iPSC differentiation to NPC by binding to the accessible regions of enhancers in cooperation with other factors such as the Hox proteins. Finally, by using Hi-C data, we categorized the genes that directly interacted with the enhancers under the control of NEUROD1 during iPSC to NPC differentiation.     

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.     

Selection on Accessible Chromatin Regions in Capsella grandiflora

Accurate estimates of genome-wide rates and fitness effects of new mutations are essential for an improved understanding of molecular evolutionary processes. Although eukaryotic genomes generally contain a large noncoding fraction, functional noncoding regions and fitness effects of mutations in such regions are still incompletely characterized. A promising approach to characterize functional noncoding regions relies on identifying accessible chromatin regions (ACRs) tightly associated with regulatory DNA. Here, we applied this approach to identify and estimate selection on ACRs in Capsella grandiflora, a crucifer species ideal for population genomic quantification of selection due to its favorable population demography. We describe a population-wide ACR distribution based on ATAC-seq data for leaf samples of 16 individuals from a natural population. We use population genomic methods to estimate fitness effects and proportions of positively selected fixations (α) in ACRs and find that intergenic ACRs harbor a considerable fraction of weakly deleterious new mutations, as well as a significantly higher proportion of strongly deleterious mutations than comparable inaccessible intergenic regions. ACRs are enriched for expression quantitative trait loci (eQTL) and depleted of transposable element insertions, as expected if intergenic ACRs are under selection because they harbor regulatory regions. By integrating empirical identification of intergenic ACRs with analyses of eQTL and population genomic analyses of selection, we demonstrate that intergenic regulatory regions are an important source of nearly neutral mutations. These results improve our understanding of selection on noncoding regions and the role of nearly neutral mutations for evolutionary processes in outcrossing Brassicaceae species.     

Dihydrosphingolipids are associated with steatosis and increased fibrosis damage in non-alcoholic fatty liver disease

Dihydrosphingolipids are lipids biosynthetically related to ceramides. An increase in ceramides is associated with enhanced fat storage in the liver, and inhibition of their synthesis is reported to prevent the appearance of steatosis in animal models. However, the precise association of dihydrosphingolipids with non-alcoholic fatty liver disease (NAFLD) is yet to be established. We employed a diet induced NAFLD mouse model to study the association between this class of compounds and disease progression. Mice fed a high-fat diet were sacrificed at 22, 30 and 40 weeks to reproduce the full spectrum of histological damage found in human disease, steatosis (NAFL) and steatohepatitis (NASH) with and without significant fibrosis. Blood and liver tissue samples were obtained from patients whose NAFLD severity was assessed histologically. To demonstrate the effect of dihydroceramides over NAFLD progression we treated mice with fenretinide an inhibitor of dihydroceramide desaturase-1 (DEGS1). Lipidomic analyses were performed using liquid chromatography-tandem mass spectrometry. Triglycerides, cholesteryl esters and dihydrosphingolipids were increased in the liver of model mice in association with the degree of steatosis and fibrosis. Dihydroceramides increased with the histological severity observed in liver samples of mice (0.024 ± 0.003 nmol/mg vs 0.049 ± 0.005 nmol/mg, non-NAFLD vs NASH-fibrosis, p < 0.0001) and patients (0.105 ± 0.011 nmol/mg vs 0.165 ± 0.021 nmol/mg, p = 0.0221). Inhibition of DEGS1 induce a four-fold increase in dihydroceramides improving steatosis but increasing the inflammatory activity and fibrosis. In conclusion, the degree of histological damage in NAFLD correlate with dihydroceramide and dihydrosphingolipid accumulation.Lay summaryAccumulation of triglyceride and cholesteryl ester lipids is the hallmark of non-alcoholic fatty liver disease. Using lipidomics, we examined the role of dihydrosphingolipids in NAFLD progression. Our results demonstrate that de novo dihydrosphingolipid synthesis is an early event in NAFLD and the concentrations of these lipids are correlated with histological severity in both mouse and human disease.