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Genome Res. 2018 Feb;28(2):182-191. doi: 10.1101/gr.222430.117. Epub 2017 Dec 18.
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Regulatory dynamics of 11p13 suggest a role for EHF in modifying CF lung disease severity.11p13的调控动态表明EHF在改变囊性纤维化肺病严重程度方面发挥作用。
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Systematic analysis of chromatin interactions at disease associated loci links novel candidate genes to inflammatory bowel disease.对疾病相关位点染色质相互作用的系统分析将新的候选基因与炎症性肠病联系起来。
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Unbiased Interrogation of 3D Genome Topology Using Chromosome Conformation Capture Coupled to High-Throughput Sequencing (4C-Seq).使用与高通量测序相结合的染色体构象捕获技术(4C-Seq)对三维基因组拓扑结构进行无偏倚分析。
Methods Mol Biol. 2017;1507:199-220. doi: 10.1007/978-1-4939-6518-2_15.
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Determination of High-Resolution 3D Chromatin Organization Using Circular Chromosome Conformation Capture (4C-seq).使用环状染色体构象捕获技术(4C-seq)测定高分辨率三维染色质结构
Methods Mol Biol. 2016;1480:223-41. doi: 10.1007/978-1-4939-6380-5_20.
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Genome-wide mapping and analysis of chromosome architecture.全基因组染色体结构图谱绘制与分析
Nat Rev Mol Cell Biol. 2016 Dec;17(12):743-755. doi: 10.1038/nrm.2016.104. Epub 2016 Sep 1.
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The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update.用于可访问、可重复和协作式生物医学分析的Galaxy平台:2016年更新
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4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments.4C-ker:一种可重复鉴定由4C-Seq实验捕获的全基因组相互作用的方法。
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FourCSeq: analysis of 4C sequencing data.FourCSeq:4C测序数据分析
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10
Basic4Cseq: an R/Bioconductor package for analyzing 4C-seq data.Basic4Cseq:一个用于分析 4C-seq 数据的 R/Bioconductor 包。
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利用环状染色体构象捕获技术的新一代测序(4C-seq)进行基因调控序列的高通量鉴定。

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq).

作者信息

Brettmann Erin A, Oh Inez Y, de Guzman Strong Cristina

机构信息

Division of Dermatology, Center for Pharmacogenomics, Center for the Study of Itch, Department of Medicine, Washington University School of Medicine.

Division of Dermatology, Center for Pharmacogenomics, Center for the Study of Itch, Department of Medicine, Washington University School of Medicine;

出版信息

J Vis Exp. 2018 Oct 5(140):58030. doi: 10.3791/58030.

DOI:10.3791/58030
PMID:30346381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6235426/
Abstract

The identification of regulatory elements for a given target gene poses a significant technical challenge owing to the variability in the positioning and effect sizes of regulatory elements to a target gene. Some progress has been made with the bioinformatic prediction of the existence and function of proximal epigenetic modifications associated with activated gene expression using conserved transcription factor binding sites. Chromatin conformation capture studies have revolutionized our ability to discover physical chromatin contacts between sequences and even within an entire genome. Circular chromatin conformation capture coupled with next-generation sequencing (4C-seq), in particular, is designed to discover all possible physical chromatin interactions for a given sequence of interest (viewpoint), such as a target gene or a regulatory enhancer. Current 4C-seq strategies directly sequence from within the viewpoint but require numerous and diverse viewpoints to be simultaneously sequenced to avoid the technical challenges of uniform base calling (imaging) with next generation sequencing platforms. This volume of experiments may not be practical for many laboratories. Here, we report a modified approach to the 4C-seq protocol that incorporates both an additional restriction enzyme digest and qPCR-based amplification steps that are designed to facilitate a greater capture of diverse sequence reads and mitigate the potential for PCR bias, respectively. Our modified 4C method is amenable to the standard molecular biology lab for assessing chromatin architecture.

摘要

由于调控元件相对于目标基因的定位和效应大小存在变异性,确定给定目标基因的调控元件面临重大技术挑战。利用保守的转录因子结合位点对与激活基因表达相关的近端表观遗传修饰的存在和功能进行生物信息学预测已取得了一些进展。染色质构象捕获研究彻底改变了我们发现序列之间甚至整个基因组内物理染色质接触的能力。特别是,环状染色质构象捕获与下一代测序相结合(4C-seq),旨在发现给定感兴趣序列(视点)(如目标基因或调控增强子)的所有可能物理染色质相互作用。当前的4C-seq策略从视点内部直接测序,但需要同时对大量不同的视点进行测序,以避免下一代测序平台在统一碱基识别(成像)方面的技术挑战。如此大量的实验对许多实验室来说可能并不实用。在这里,我们报告了一种对4C-seq方案的改进方法,该方法结合了额外的限制性酶切消化和基于qPCR的扩增步骤,分别旨在促进对多样序列读数的更大捕获和减轻PCR偏差的可能性。我们改进的4C方法适用于标准分子生物学实验室来评估染色质结构。