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开发新型方法以成像和可视化 3D 基因组。

Developing novel methods to image and visualize 3D genomes.

机构信息

School of Medicine, Tsinghua University, Beijing, 100084, China.

MOE Key Laboratory of Bioinformatics; Bioinformatics Division, Center for Synthetic & Systems Biology, BNRist; Department of Automation, Tsinghua University, Beijing, 100084, China.

出版信息

Cell Biol Toxicol. 2018 Oct;34(5):367-380. doi: 10.1007/s10565-018-9427-z. Epub 2018 Mar 26.

Abstract

To investigate three-dimensional (3D) genome organization in prokaryotic and eukaryotic cells, three main strategies are employed, namely nuclear proximity ligation-based methods, imaging tools (such as fluorescence in situ hybridization (FISH) and its derivatives), and computational/visualization methods. Proximity ligation-based methods are based on digestion and re-ligation of physically proximal cross-linked chromatin fragments accompanied by massively parallel DNA sequencing to measure the relative spatial proximity between genomic loci. Imaging tools enable direct visualization and quantification of spatial distances between genomic loci, and advanced implementation of (super-resolution) microscopy helps to significantly improve the resolution of images. Computational methods are used to map global 3D genome structures at various scales driven by experimental data, and visualization methods are used to visualize genome 3D structures in virtual 3D space-based on algorithms. In this review, we focus on the introduction of novel imaging and visualization methods to study 3D genomes. First, we introduce the progress made recently in 3D genome imaging in both fixed cell and live cells based on long-probe labeling, short-probe labeling, RNA FISH, and the CRISPR system. As the fluorescence-capturing capability of a particular microscope is very important for the sensitivity of bioimaging experiments, we also introduce two novel super-resolution microscopy methods, SDOM and low-power super-resolution STED, which have potential for time-lapse super-resolution live-cell imaging of chromatin. Finally, we review some software tools developed recently to visualize proximity ligation-based data. The imaging and visualization methods are complementary to each other, and all three strategies are not mutually exclusive. These methods provide powerful tools to explore the mechanisms of gene regulation and transcription in cell nuclei.

摘要

为了研究原核细胞和真核细胞的三维(3D)基因组结构,采用了三种主要策略,即基于核邻近连接的方法、成像工具(如荧光原位杂交(FISH)及其衍生物)和计算/可视化方法。基于邻近连接的方法基于物理上邻近交联染色质片段的消化和再连接,同时进行大规模平行 DNA 测序,以测量基因组位点之间的相对空间接近度。成像工具能够直接可视化和量化基因组位点之间的空间距离,并且(超分辨率)显微镜的高级实现有助于显著提高图像的分辨率。计算方法用于基于实验数据在各种尺度上绘制全局 3D 基因组结构,可视化方法用于基于算法在虚拟 3D 空间中可视化基因组 3D 结构。在这篇综述中,我们重点介绍了用于研究 3D 基因组的新型成像和可视化方法。首先,我们介绍了基于长探针标记、短探针标记、RNA FISH 和 CRISPR 系统在固定细胞和活细胞中最近在 3D 基因组成像方面取得的进展。由于特定显微镜的荧光捕获能力对于生物成像实验的灵敏度非常重要,因此我们还介绍了两种新型超分辨率显微镜方法,SDOM 和低功率超分辨率 STED,它们具有对染色质进行时间 lapse 超分辨率活细胞成像的潜力。最后,我们综述了最近开发的一些用于可视化邻近连接数据的软件工具。成像和可视化方法是互补的,并且这三种策略并非相互排斥。这些方法为探索细胞核中基因调控和转录的机制提供了强大的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec1b/6133007/66609ceb5ac8/10565_2018_9427_Fig1_HTML.jpg

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