• 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

利用纳米孔测序进行全基因组印迹差异甲基化区域的检测。

Genome-wide detection of imprinted differentially methylated regions using nanopore sequencing.

机构信息

Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada.

Department of Medical Genetics, University of British Columbia, Vancouver, Canada.

出版信息

Elife. 2022 Jul 5;11:e77898. doi: 10.7554/eLife.77898.

DOI:10.7554/eLife.77898
PMID:35787786
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9255983/
Abstract

Imprinting is a critical part of normal embryonic development in mammals, controlled by defined parent-of-origin (PofO) differentially methylated regions (DMRs) known as imprinting control regions. Direct nanopore sequencing of DNA provides a means to detect allelic methylation and to overcome the drawbacks of methylation array and short-read technologies. Here, we used publicly available nanopore sequencing data for 12 standard B-lymphocyte cell lines to acquire the genome-wide mapping of imprinted intervals in humans. Using the sequencing data, we were able to phase 95% of the human methylome and detect 94% of the previously well-characterized, imprinted DMRs. In addition, we found 42 novel imprinted DMRs (16 germline and 26 somatic), which were confirmed using whole-genome bisulfite sequencing (WGBS) data. Analysis of WGBS data in mouse (), rhesus monkey (), and chimpanzee () suggested that 17 of these imprinted DMRs are conserved. Some of the novel imprinted intervals are within or close to imprinted genes without a known DMR. We also detected subtle parental methylation bias, spanning several kilobases at seven known imprinted clusters. At these blocks, hypermethylation occurs at the gene body of expressed allele(s) with mutually exclusive H3K36me3 and H3K27me3 allelic histone marks. These results expand upon our current knowledge of imprinting and the potential of nanopore sequencing to identify imprinting regions using only parent-offspring trios, as opposed to the large multi-generational pedigrees that have previously been required.

摘要

印迹是哺乳动物正常胚胎发育的关键部分,由定义的亲本来源(PofO)差异甲基化区域(DMR)控制,这些区域称为印迹控制区域。直接的纳米孔测序为检测等位基因甲基化提供了一种手段,并克服了甲基化阵列和短读技术的缺点。在这里,我们使用了 12 种标准 B 淋巴细胞系的公开可用的纳米孔测序数据,以获得人类印迹区间的全基因组图谱。使用测序数据,我们能够对 95%的人类甲基组进行相位分析,并检测到 94%以前特征良好的印迹 DMR。此外,我们发现了 42 个新的印迹 DMR(16 个生殖系和 26 个体细胞),这些 DMR 通过全基因组亚硫酸氢盐测序(WGBS)数据得到了验证。对小鼠()、恒河猴()和黑猩猩()的 WGBS 数据分析表明,这些印迹 DMR 中有 17 个是保守的。一些新的印迹区间位于已知的印迹基因内或附近,但没有已知的 DMR。我们还检测到了一些微妙的亲本甲基化偏向,跨越了七个已知印迹簇中的几个千碱基。在这些块中,表达等位基因的基因体发生超甲基化,具有相互排斥的 H3K36me3 和 H3K27me3 等位基因组蛋白标记。这些结果扩展了我们对印迹的现有认识,以及纳米孔测序的潜力,即使用仅父母-子女三人组而不是以前需要的大型多代系谱来识别印迹区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/297fb2a548ec/elife-77898-fig9-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/a46522acbb1b/elife-77898-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/6ebe02291c9b/elife-77898-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/9437a7be8d77/elife-77898-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/d30202d59dc4/elife-77898-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/fe03e1ae888b/elife-77898-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/163af8242a4e/elife-77898-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/17d4a8338341/elife-77898-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/8dda2982edd7/elife-77898-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/0e9935fd02f6/elife-77898-fig6-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/3cabb748429f/elife-77898-fig6-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/4cfa3b6b1fc1/elife-77898-fig6-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/4ea3b74c46b0/elife-77898-fig6-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/9323e16a34c3/elife-77898-fig6-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/4f57c1773c85/elife-77898-fig6-figsupp6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/474f4cf968b0/elife-77898-fig6-figsupp7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/22903adba2e7/elife-77898-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/0a57bb2ee498/elife-77898-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/02952dfd9fcd/elife-77898-fig7-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/d7f7dc1dc005/elife-77898-fig7-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/0e58b9b9ed18/elife-77898-fig7-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/b2b6a0de6c36/elife-77898-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/fa4d85f4d4b6/elife-77898-fig8-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/8f93c5ab55c2/elife-77898-fig8-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/a888f7ba85ca/elife-77898-fig8-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/01872753ed1a/elife-77898-fig8-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/56fcf8a067a7/elife-77898-fig8-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/9d8043215036/elife-77898-fig8-figsupp6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/5d60e3ae14b5/elife-77898-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/5543c8b2d5c7/elife-77898-fig9-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/39571ad0928d/elife-77898-fig9-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/297fb2a548ec/elife-77898-fig9-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/a46522acbb1b/elife-77898-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/6ebe02291c9b/elife-77898-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/9437a7be8d77/elife-77898-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/d30202d59dc4/elife-77898-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/fe03e1ae888b/elife-77898-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/163af8242a4e/elife-77898-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/17d4a8338341/elife-77898-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/8dda2982edd7/elife-77898-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/0e9935fd02f6/elife-77898-fig6-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/3cabb748429f/elife-77898-fig6-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/4cfa3b6b1fc1/elife-77898-fig6-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/4ea3b74c46b0/elife-77898-fig6-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/9323e16a34c3/elife-77898-fig6-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/4f57c1773c85/elife-77898-fig6-figsupp6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/474f4cf968b0/elife-77898-fig6-figsupp7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/22903adba2e7/elife-77898-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/0a57bb2ee498/elife-77898-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/02952dfd9fcd/elife-77898-fig7-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/d7f7dc1dc005/elife-77898-fig7-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/0e58b9b9ed18/elife-77898-fig7-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/b2b6a0de6c36/elife-77898-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/fa4d85f4d4b6/elife-77898-fig8-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/8f93c5ab55c2/elife-77898-fig8-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/a888f7ba85ca/elife-77898-fig8-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/01872753ed1a/elife-77898-fig8-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/56fcf8a067a7/elife-77898-fig8-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/9d8043215036/elife-77898-fig8-figsupp6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/5d60e3ae14b5/elife-77898-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/5543c8b2d5c7/elife-77898-fig9-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/39571ad0928d/elife-77898-fig9-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10dc/9255983/297fb2a548ec/elife-77898-fig9-figsupp5.jpg

相似文献

1
Genome-wide detection of imprinted differentially methylated regions using nanopore sequencing.利用纳米孔测序进行全基因组印迹差异甲基化区域的检测。
Elife. 2022 Jul 5;11:e77898. doi: 10.7554/eLife.77898.
2
Genome-wide parent-of-origin DNA methylation analysis reveals the intricacies of human imprinting and suggests a germline methylation-independent mechanism of establishment.全基因组亲源DNA甲基化分析揭示了人类印记的复杂性,并提示了一种不依赖种系甲基化的建立机制。
Genome Res. 2014 Apr;24(4):554-69. doi: 10.1101/gr.164913.113. Epub 2014 Jan 8.
3
Pervasive polymorphic imprinted methylation in the human placenta.人类胎盘中普遍存在的多态性印记甲基化。
Genome Res. 2016 Jun;26(6):756-67. doi: 10.1101/gr.196139.115. Epub 2016 Jan 14.
4
A novel approach identifies new differentially methylated regions (DMRs) associated with imprinted genes.一种新方法鉴定了与印记基因相关的新差异甲基化区域(DMRs)。
Genome Res. 2011 Mar;21(3):465-76. doi: 10.1101/gr.111922.110. Epub 2011 Feb 7.
5
PRKACB is a novel imprinted gene in marsupials.PRKACB 是一种新型印记基因在有袋目动物中。
Epigenetics Chromatin. 2024 Sep 28;17(1):29. doi: 10.1186/s13072-024-00552-8.
6
Hemimethylation of CpG dyads is characteristic of secondary DMRs associated with imprinted loci and correlates with 5-hydroxymethylcytosine at paternally methylated sequences.CpG 二联体的半甲基化是与印迹基因座相关的二级 DMR 的特征,并且与父系甲基化序列中的 5-羟甲基胞嘧啶相关。
Epigenetics Chromatin. 2019 Oct 17;12(1):64. doi: 10.1186/s13072-019-0309-2.
7
The loss of imprinted DNA methylation in mouse blastocysts is inflicted to a similar extent by in vitro follicle culture and ovulation induction.体外卵泡培养和排卵诱导对小鼠囊胚中印记DNA甲基化的丢失造成的影响程度相似。
Mol Hum Reprod. 2016 Jun;22(6):427-41. doi: 10.1093/molehr/gaw013. Epub 2016 Feb 7.
8
Bisulfite sequencing and dinucleotide content analysis of 15 imprinted mouse differentially methylated regions (DMRs): paternally methylated DMRs contain less CpGs than maternally methylated DMRs.15个印记小鼠差异甲基化区域(DMRs)的亚硫酸氢盐测序和二核苷酸含量分析:父本甲基化的DMRs比母本甲基化的DMRs含有更少的CpG。
Cytogenet Genome Res. 2006;113(1-4):130-7. doi: 10.1159/000090824.
9
The Influence of Polyploidy and Genome Composition on Genomic Imprinting in Mice.多倍体和基因组组成对小鼠基因组印记的影响。
J Biol Chem. 2016 Sep 30;291(40):20924-20931. doi: 10.1074/jbc.M116.744144. Epub 2016 Aug 16.
10
Using long-read sequencing to detect imprinted DNA methylation.利用长读测序技术检测印迹 DNA 甲基化。
Nucleic Acids Res. 2019 May 7;47(8):e46. doi: 10.1093/nar/gkz107.

引用本文的文献

1
A haplotype-resolved view of human gene regulation.人类基因调控的单倍型解析视图。
bioRxiv. 2025 Jun 2:2024.06.14.599122. doi: 10.1101/2024.06.14.599122.
2
Using long-read sequencing to detect and subtype a case with Temple syndrome.使用长读长测序技术对一例坦普尔综合征病例进行检测和亚型分型。
J Med Genet. 2025 Jul 21;62(8):502-507. doi: 10.1136/jmg-2024-110262.
3
Allelic expression patterns of imprinted and non-imprinted genes in cancer cell lines from multiple histologies.多种组织学来源的癌细胞系中印迹基因和非印迹基因的等位基因表达模式。

本文引用的文献

1
DNA methylation at a nutritionally sensitive region of the gene is associated with thyroid volume and function in Gambian children.该基因营养敏感区域的DNA甲基化与冈比亚儿童的甲状腺体积和功能相关。
Sci Adv. 2021 Nov 5;7(45):eabj1561. doi: 10.1126/sciadv.abj1561.
2
Evolution of DNA methylation in the human brain.人类大脑中DNA甲基化的演变。
Nat Commun. 2021 Apr 1;12(1):2021. doi: 10.1038/s41467-021-21917-7.
3
Megabase-scale methylation phasing using nanopore long reads and NanoMethPhase.使用纳米孔长读和 NanoMethPhase 进行兆碱基规模的甲基化相分析。
Clin Epigenetics. 2025 May 25;17(1):83. doi: 10.1186/s13148-025-01883-3.
4
Streaming Long-Read Sequence Alignments for HLA Predictions Using HLAminer.使用HLAminer进行HLA预测的流式长读序列比对
Curr Protoc. 2025 Mar;5(3):e70124. doi: 10.1002/cpz1.70124.
5
Reconstruction of diploid higher-order human 3D genome interactions from noisy Pore-C data using Dip3D.使用Dip3D从有噪声的Pore-C数据重建二倍体高阶人类3D基因组相互作用。
Nat Struct Mol Biol. 2025 Mar 4. doi: 10.1038/s41594-025-01512-w.
6
Double and single stranded detection of 5-methylcytosine and 5-hydroxymethylcytosine with nanopore sequencing.利用纳米孔测序技术对5-甲基胞嘧啶和5-羟甲基胞嘧啶进行双链和单链检测。
Commun Biol. 2025 Feb 15;8(1):243. doi: 10.1038/s42003-025-07681-0.
7
Synchronized long-read genome, methylome, epigenome and transcriptome profiling resolve a Mendelian condition.同步长读长基因组、甲基化组、表观基因组和转录组分析解析一种孟德尔遗传病。
Nat Genet. 2025 Feb;57(2):469-479. doi: 10.1038/s41588-024-02067-0. Epub 2025 Jan 29.
8
Shedding light on DNA methylation and its clinical implications: the impact of long-read-based nanopore technology.揭示DNA甲基化及其临床意义:基于长读长的纳米孔技术的影响
Epigenetics Chromatin. 2024 Dec 30;17(1):39. doi: 10.1186/s13072-024-00558-2.
9
Long-read sequencing of an advanced cancer cohort resolves rearrangements, unravels haplotypes, and reveals methylation landscapes.对一个高级癌症队列进行长读测序可解决重排问题、阐明单倍型并揭示甲基化景观。
Cell Genom. 2024 Nov 13;4(11):100674. doi: 10.1016/j.xgen.2024.100674. Epub 2024 Oct 14.
10
Imprinting as Basis for Complex Evolutionary Novelties in Eutherians.印记现象作为真兽类复杂进化新特征的基础
Biology (Basel). 2024 Aug 31;13(9):682. doi: 10.3390/biology13090682.
Genome Biol. 2021 Feb 22;22(1):68. doi: 10.1186/s13059-021-02283-5.
4
Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes.纳米孔测序和 Shasta 工具包可实现 11 个人类基因组的高效从头组装。
Nat Biotechnol. 2020 Sep;38(9):1044-1053. doi: 10.1038/s41587-020-0503-6. Epub 2020 May 4.
5
Genome-wide analysis in the mouse embryo reveals the importance of DNA methylation for transcription integrity.全基因组分析在小鼠胚胎中揭示了 DNA 甲基化对转录完整性的重要性。
Nat Commun. 2020 Jun 19;11(1):3153. doi: 10.1038/s41467-020-16919-w.
6
Maternal H3K27me3-dependent autosomal and X chromosome imprinting.母体 H3K27me3 依赖性常染色体和 X 染色体印迹
Nat Rev Genet. 2020 Sep;21(9):555-571. doi: 10.1038/s41576-020-0245-9. Epub 2020 Jun 8.
7
SciPy 1.0: fundamental algorithms for scientific computing in Python.SciPy 1.0:Python 中的科学计算基础算法。
Nat Methods. 2020 Mar;17(3):261-272. doi: 10.1038/s41592-019-0686-2. Epub 2020 Feb 3.
8
Genome-wide assessment of DNA methylation in mouse oocytes reveals effects associated with in vitro growth, superovulation, and sexual maturity.对小鼠卵母细胞中的 DNA 甲基化进行全基因组评估,揭示了与体外生长、超数排卵和性成熟相关的影响。
Clin Epigenetics. 2019 Dec 19;11(1):197. doi: 10.1186/s13148-019-0794-y.
9
The influence of DNA methylation on monoallelic expression.DNA 甲基化对单等位基因表达的影响。
Essays Biochem. 2019 Dec 20;63(6):663-676. doi: 10.1042/EBC20190034.
10
The ENCODE Blacklist: Identification of Problematic Regions of the Genome.ENCODE 黑名单:基因组中问题区域的鉴定。
Sci Rep. 2019 Jun 27;9(1):9354. doi: 10.1038/s41598-019-45839-z.