• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

从 Hi-C 推断 3D 染色体结构的异质环模型。

Heterogeneous Loop Model to Infer 3D Chromosome Structures from Hi-C.

机构信息

School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea.

School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea.

出版信息

Biophys J. 2019 Aug 6;117(3):613-625. doi: 10.1016/j.bpj.2019.06.032. Epub 2019 Jul 4.

DOI:10.1016/j.bpj.2019.06.032
PMID:31337548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6697451/
Abstract

Adapting a well-established formalism in polymer physics, we develop a minimalist approach to infer three-dimensional folding of chromatin from Hi-C data. The three-dimensional chromosome structures generated from our heterogeneous loop model (HLM) are used to visualize chromosome organizations that can substantiate the measurements from fluorescence in situ hybridization, chromatin interaction analysis by paired-end tag sequencing, and RNA-seq signals. We demonstrate the utility of the HLM with several case studies. Specifically, the HLM-generated chromosome structures, which reproduce the spatial distribution of topologically associated domains from fluorescence in situ hybridization measurement, show the phase segregation between two types of topologically associated domains explicitly. We discuss the origin of cell-type-dependent gene-expression level by modeling the chromatin globules of α-globin and SOX2 gene loci for two different cell lines. We also use the HLM to discuss how the chromatin folding and gene-expression level of Pax6 loci, associated with mouse neural development, are modulated by interactions with two enhancers. Finally, HLM-generated structures of chromosome 19 of mouse embryonic stem cells, based on single-cell Hi-C data collected over each cell-cycle phase, visualize changes in chromosome conformation along the cell-cycle. Given a contact frequency map between chromatic loci supplied from Hi-C, HLM is a computationally efficient and versatile modeling tool to generate chromosome structures that can complement interpreting other experimental data.

摘要

我们采用高分子物理中成熟的形式体系,从 Hi-C 数据中推断出染色体三维折叠的最简方法。我们的异质环模型(HLM)生成的三维染色体结构可用于可视化染色体组织,这些组织可以证实荧光原位杂交、通过末端配对标签测序进行的染色质相互作用分析和 RNA-seq 信号的测量结果。我们通过几个案例研究展示了 HLM 的实用性。具体来说,HLM 生成的染色体结构再现了荧光原位杂交测量中拓扑相关结构域的空间分布,明确显示了两种拓扑相关结构域之间的相位分离。我们通过对两种不同细胞系的α-球蛋白和 SOX2 基因座的染色质球粒进行建模,讨论了细胞类型依赖性基因表达水平的起源。我们还使用 HLM 讨论了与小鼠神经发育相关的 Pax6 基因座的染色质折叠和基因表达水平如何通过与两个增强子的相互作用进行调节。最后,基于在每个细胞周期阶段收集的单细胞 Hi-C 数据,HLM 生成了小鼠胚胎干细胞 19 号染色体的结构,可视化了沿着细胞周期的染色体构象变化。给定从 Hi-C 提供的染色质基因座之间的接触频率图,HLM 是一种计算效率高且功能多样的建模工具,可以生成可补充解释其他实验数据的染色体结构。

相似文献

1
Heterogeneous Loop Model to Infer 3D Chromosome Structures from Hi-C.从 Hi-C 推断 3D 染色体结构的异质环模型。
Biophys J. 2019 Aug 6;117(3):613-625. doi: 10.1016/j.bpj.2019.06.032. Epub 2019 Jul 4.
2
Reconstructing high-resolution chromosome three-dimensional structures by Hi-C complex networks.通过 Hi-C 复杂网络重建高分辨率染色体三维结构。
BMC Bioinformatics. 2018 Dec 28;19(Suppl 17):496. doi: 10.1186/s12859-018-2464-z.
3
Modelling genome-wide topological associating domains in mouse embryonic stem cells.小鼠胚胎干细胞全基因组拓扑相关结构域建模
Chromosome Res. 2017 Mar;25(1):5-14. doi: 10.1007/s10577-016-9544-6. Epub 2017 Jan 20.
4
Inference of chromosome 3D structures from GAM data by a physics computational approach.通过物理计算方法从 GAM 数据推断染色体 3D 结构。
Methods. 2020 Oct 1;181-182:70-79. doi: 10.1016/j.ymeth.2019.09.018. Epub 2019 Oct 8.
5
Evaluation of 3D Chromatin Interactions Using Hi-C.使用 Hi-C 技术评估 3D 染色质相互作用。
Methods Mol Biol. 2020;2117:65-78. doi: 10.1007/978-1-0716-0301-7_3.
6
Practical Analysis of Genome Contact Interaction Experiments.基因组接触相互作用实验的实践分析
Methods Mol Biol. 2016;1418:177-89. doi: 10.1007/978-1-4939-3578-9_9.
7
Nuclear organization of active and inactive chromatin domains uncovered by chromosome conformation capture-on-chip (4C).通过染色体构象捕获芯片(4C)揭示的活性和非活性染色质结构域的核组织。
Nat Genet. 2006 Nov;38(11):1348-54. doi: 10.1038/ng1896. Epub 2006 Oct 8.
8
Chromatin 3D structure reconstruction with consideration of adjacency relationship among genomic loci.考虑基因组位点邻近距离的染色质 3D 结构重构
BMC Bioinformatics. 2020 Jul 1;21(1):272. doi: 10.1186/s12859-020-03612-4.
9
Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models.利用生物信息数据和聚合物模型预测哺乳动物基因组中顺式调控区域的三维折叠。
Genome Biol. 2016 Mar 31;17:59. doi: 10.1186/s13059-016-0909-0.
10
Reorganization of chromosome architecture in replicative cellular senescence.有丝分裂细胞衰老过程中染色体结构的重组。
Sci Adv. 2016 Feb 5;2(2):e1500882. doi: 10.1126/sciadv.1500882. eCollection 2016 Feb.

引用本文的文献

1
Advancements and future directions in single-cell Hi-C based 3D chromatin modeling.基于单细胞Hi-C的三维染色质建模的进展与未来方向。
Comput Struct Biotechnol J. 2024 Oct 3;23:3549-3558. doi: 10.1016/j.csbj.2024.09.026. eCollection 2024 Dec.
2
Integrative Modeling of 3D Genome Organization by Bayesian Molecular Dynamics Simulations with Hi-C Metainference.基于 Hi-C 元推断的贝叶斯分子动力学模拟整合 3D 基因组组织建模。
Methods Mol Biol. 2025;2856:309-324. doi: 10.1007/978-1-0716-4136-1_19.
3
Hi-C-guided many-polymer model to decipher 3D genome organization.Hi-C 引导的多聚体模型解析 3D 基因组结构。
Biophys J. 2024 Aug 20;123(16):2574-2583. doi: 10.1016/j.bpj.2024.06.023. Epub 2024 Jun 25.
4
On the Advent of Super-Resolution Microscopy in the Realm of Polycomb Proteins.超分辨率显微镜在多梳蛋白领域的出现。
Biology (Basel). 2023 Feb 26;12(3):374. doi: 10.3390/biology12030374.
5
Dissecting the cosegregation probability from genome architecture mapping.从基因组结构图谱中解析共分离概率。
Biophys J. 2022 Oct 18;121(20):3774-3784. doi: 10.1016/j.bpj.2022.09.018. Epub 2022 Sep 21.
6
Extracting multi-way chromatin contacts from Hi-C data.从 Hi-C 数据中提取多通路染色质接触。
PLoS Comput Biol. 2021 Dec 6;17(12):e1009669. doi: 10.1371/journal.pcbi.1009669. eCollection 2021 Dec.
7
A unified framework for inferring the multi-scale organization of chromatin domains from Hi-C.一种从Hi-C推断染色质结构域多尺度组织的统一框架。
PLoS Comput Biol. 2021 Mar 16;17(3):e1008834. doi: 10.1371/journal.pcbi.1008834. eCollection 2021 Mar.
8
Revisiting the organization of Polycomb-repressed domains: 3D chromatin models from Hi-C compared with super-resolution imaging.重新审视 Polycomb 抑制区域的组织方式:Hi-C 与超分辨率成像比较的 3D 染色质模型。
Nucleic Acids Res. 2020 Nov 18;48(20):11486-11494. doi: 10.1093/nar/gkaa932.
9
Toward understanding the dynamic state of 3D genome.迈向理解三维基因组的动态状态。
Comput Struct Biotechnol J. 2020 Aug 21;18:2259-2269. doi: 10.1016/j.csbj.2020.08.014. eCollection 2020.
10
Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization.用于Hi-C数据的微观流变学揭示了动态三维基因组组织的频谱。
Biophys J. 2020 May 5;118(9):2220-2228. doi: 10.1016/j.bpj.2020.02.020. Epub 2020 Mar 3.

本文引用的文献

1
Chain organization of human interphase chromosome determines the spatiotemporal dynamics of chromatin loci.人类间期染色体的链组织决定了染色质位置的时空动力学。
PLoS Comput Biol. 2018 Dec 3;14(12):e1006617. doi: 10.1371/journal.pcbi.1006617. eCollection 2018 Dec.
2
Polymer Simulations of Heteromorphic Chromatin Predict the 3D Folding of Complex Genomic Loci.多聚物对异质染色质的模拟预测复杂基因组位点的 3D 折叠。
Mol Cell. 2018 Nov 15;72(4):786-797.e11. doi: 10.1016/j.molcel.2018.09.016. Epub 2018 Oct 18.
3
Interphase human chromosome exhibits out of equilibrium glassy dynamics.间期人类染色体表现出非平衡玻璃态动力学。
Nat Commun. 2018 Aug 8;9(1):3161. doi: 10.1038/s41467-018-05606-6.
4
Functional characteristics of novel pancreatic Pax6 regulatory elements.新型胰腺 Pax6 调控元件的功能特征。
Hum Mol Genet. 2018 Oct 1;27(19):3434-3448. doi: 10.1093/hmg/ddy255.
5
Polymer physics predicts the effects of structural variants on chromatin architecture.高分子物理预测了结构变体对染色质结构的影响。
Nat Genet. 2018 May;50(5):662-667. doi: 10.1038/s41588-018-0098-8. Epub 2018 Apr 16.
6
TADs are 3D structural units of higher-order chromosome organization in .TADs 是 . 中染色体高级组织的 3D 结构单元。
Sci Adv. 2018 Feb 28;4(2):eaar8082. doi: 10.1126/sciadv.aar8082. eCollection 2018 Feb.
7
Reconstructing spatial organizations of chromosomes through manifold learning.通过流形学习重建染色体的空间结构。
Nucleic Acids Res. 2018 May 4;46(8):e50. doi: 10.1093/nar/gky065.
8
Multiscale 3D Genome Rewiring during Mouse Neural Development.小鼠神经发育过程中的多尺度3D基因组重排
Cell. 2017 Oct 19;171(3):557-572.e24. doi: 10.1016/j.cell.2017.09.043.
9
Computational construction of 3D chromatin ensembles and prediction of functional interactions of alpha-globin locus from 5C data.基于5C数据的α-珠蛋白基因座3D染色质组装的计算构建及功能相互作用预测
Nucleic Acids Res. 2017 Nov 16;45(20):11547-11558. doi: 10.1093/nar/gkx784.
10
HiCRep: assessing the reproducibility of Hi-C data using a stratum-adjusted correlation coefficient.HiCRep:使用分层调整相关系数评估 Hi-C 数据的可重复性。
Genome Res. 2017 Nov;27(11):1939-1949. doi: 10.1101/gr.220640.117. Epub 2017 Aug 30.