Hi-GDT:一种基于hi - c的三维基因结构域分析工具,用于分析植物局部染色质接触。

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Hongwoo Lee, Pil Joon Seo
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引用次数: 0

摘要

背景:三维(3D)染色质组织正在成为真核生物基因调控的关键因素。最近的研究利用高分辨率Hi-C分析探索了植物中精细尺度的局部染色质接触域,如拟南芥(Arabidopsis thaliana)在可接近的基因边界区域建立的基本接触域。然而,我们缺乏有效的工具来识别这些接触域并检查它们的结构动力学。结果:我们开发了基于hi - c的3D基因结构域分析工具(Hi-GDT)来识别植物中精细尺度的局部染色质接触结构域,特别关注基因边界。Hi-GDT成功地识别了局部接触结构域,包括单基因和多基因结构域,具有高重复性。Hi-GDT还可用于发现与组织类型、基因型或环境刺激反应之间基因表达差异相关的差异组织的局部接触域。结论:Hi-GDT是鉴定受动态三维构象变化调控的基因的有价值的工具,扩展了我们对植物局部三维染色质组织的结构和功能相关性的理解。Hi-GDT可在https://github.com/CDL-HongwooLee/Hi-GDT公开获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hi-GDT: A Hi-C-based 3D gene domain analysis tool for analyzing local chromatin contacts in plants.

Background: Three-dimensional (3D) chromatin organization is emerging as a key factor in gene regulation in eukaryotes. Recent studies using high-resolution Hi-C analysis have explored fine-scale local chromatin contact domains in plants, as exemplified by the basic contact domains established at accessible gene border regions in Arabidopsis (Arabidopsis thaliana). However, we lack effective tools to identify these contact domains and examine their structural dynamics.

Results: We developed the Hi-C-based 3D Gene Domain analysis Tool (Hi-GDT) to identify fine-scale local chromatin contact domains in plants, with a particular focus on gene borders. Hi-GDT successfully identifies local contact domains, including single-gene and multigene domains, with high reproducibility. Hi-GDT can also be used to discover local contact domains that are differentially organized in association with differences in gene expression between tissue types, genotypes, or in response to environmental stimuli.

Conclusions: Hi-GDT is a valuable tool for identifying genes regulated by dynamic 3D conformational changes, expanding our understanding of the structural and functional relevance of local 3D chromatin organization in plants. Hi-GDT is publicly available at https://github.com/CDL-HongwooLee/Hi-GDT.

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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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