• 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

一种用于单细胞全基因组测序和基因表达谱分析的高可扩展方法。

A Highly Scalable Method for Joint Whole-Genome Sequencing and Gene-Expression Profiling of Single Cells.

机构信息

Department of Oncology-Pathology Karolinska Institutet, 171 64 Stockholm, Sweden.

Department of Oncology-Pathology Karolinska Institutet, 171 64 Stockholm, Sweden.

出版信息

Mol Cell. 2020 Nov 5;80(3):541-553.e5. doi: 10.1016/j.molcel.2020.09.025. Epub 2020 Oct 16.

DOI:10.1016/j.molcel.2020.09.025
PMID:33068522
Abstract

To address how genetic variation alters gene expression in complex cell mixtures, we developed direct nuclear tagmentation and RNA sequencing (DNTR-seq), which enables whole-genome and mRNA sequencing jointly in single cells. DNTR-seq readily identified minor subclones within leukemia patients. In a large-scale DNA damage screen, DNTR-seq was used to detect regions under purifying selection and identified genes where mRNA abundance was resistant to copy-number alteration, suggesting strong genetic compensation. mRNA sequencing (mRNA-seq) quality equals RNA-only methods, and the low positional bias of genomic libraries allowed detection of sub-megabase aberrations at ultra-low coverage. Each cell library is individually addressable and can be re-sequenced at increased depth, allowing multi-tiered study designs. Additionally, the direct tagmentation protocol enables coverage-independent estimation of ploidy, which can be used to identify cell singlets. Thus, DNTR-seq directly links each cell's state to its corresponding genome at scale, enabling routine analysis of heterogeneous tumors and other complex tissues.

摘要

为了解决遗传变异如何在复杂的细胞混合物中改变基因表达的问题,我们开发了直接核片段化和 RNA 测序(DNTR-seq)技术,该技术可以在单个细胞中同时进行全基因组和 mRNA 测序。DNTR-seq 很容易在白血病患者中识别出次要亚克隆。在大规模的 DNA 损伤筛选中,DNTR-seq 用于检测受净化选择的区域,并鉴定出那些 mRNA 丰度不受拷贝数改变影响的基因,这表明存在强烈的遗传补偿。mRNA 测序(mRNA-seq)的质量与仅 RNA 方法相当,基因组文库的低位置偏差允许在超低覆盖度下检测亚兆碱基的异常。每个细胞文库都可以单独寻址,并可以在增加的深度上重新测序,从而实现多层次的研究设计。此外,直接片段化协议允许独立于覆盖度来估计倍性,这可用于识别单细胞。因此,DNTR-seq 直接将每个细胞的状态与其相应的基因组在大规模上联系起来,使对异质肿瘤和其他复杂组织的常规分析成为可能。

相似文献

1
A Highly Scalable Method for Joint Whole-Genome Sequencing and Gene-Expression Profiling of Single Cells.一种用于单细胞全基因组测序和基因表达谱分析的高可扩展方法。
Mol Cell. 2020 Nov 5;80(3):541-553.e5. doi: 10.1016/j.molcel.2020.09.025. Epub 2020 Oct 16.
2
Combined Genome and Transcriptome (G&T) Sequencing of Single Cells.单细胞的基因组与转录组联合测序
Methods Mol Biol. 2019;1979:319-362. doi: 10.1007/978-1-4939-9240-9_20.
3
SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing.范围:单细胞 DNA 测序的标准化和拷贝数估计方法。
Cell Syst. 2020 May 20;10(5):445-452.e6. doi: 10.1016/j.cels.2020.03.005.
4
Separation and parallel sequencing of the genomes and transcriptomes of single cells using G&T-seq.使用 G&T-seq 对单个细胞的基因组和转录组进行分离和并行测序。
Nat Protoc. 2016 Nov;11(11):2081-103. doi: 10.1038/nprot.2016.138. Epub 2016 Sep 29.
5
Gel-seq: whole-genome and transcriptome sequencing by simultaneous low-input DNA and RNA library preparation using semi-permeable hydrogel barriers.凝胶测序:使用半渗透水凝胶屏障,通过同时进行低输入量的 DNA 和 RNA 文库制备,实现全基因组和转录组测序。
Lab Chip. 2017 Jul 25;17(15):2619-2630. doi: 10.1039/c7lc00430c.
6
Detection of high variability in gene expression from single-cell RNA-seq profiling.从单细胞RNA测序分析中检测基因表达的高变异性。
BMC Genomics. 2016 Aug 22;17 Suppl 7(Suppl 7):508. doi: 10.1186/s12864-016-2897-6.
7
Profiling DNA Methylation Genome-Wide in Single Cells.单细胞全基因组 DNA 甲基化分析。
Methods Mol Biol. 2021;2214:221-240. doi: 10.1007/978-1-0716-0958-3_15.
8
Scalable dual-omics profiling with single-nucleus chromatin accessibility and mRNA expression sequencing 2 (SNARE-seq2).可扩展的双组学分析,结合单核染色质可及性和 mRNA 表达测序 2(SNARE-seq2)。
Nat Protoc. 2021 Nov;16(11):4992-5029. doi: 10.1038/s41596-021-00507-3. Epub 2021 Oct 14.
9
Single read and paired end mRNA-Seq Illumina libraries from 10 nanograms total RNA.来自10纳克总RNA的单端和双端mRNA-Seq Illumina文库。
J Vis Exp. 2011 Oct 27(56):e3340. doi: 10.3791/3340.
10
Construction of Whole Genomes from Scaffolds Using Single Cell Strand-Seq Data.使用单细胞链测序数据从支架构建全基因组。
Int J Mol Sci. 2021 Mar 31;22(7):3617. doi: 10.3390/ijms22073617.

引用本文的文献

1
Functional phenotyping of genomic variants using joint multiomic single-cell DNA-RNA sequencing.使用联合多组学单细胞DNA-RNA测序对基因组变异进行功能表型分析。
Nat Methods. 2025 Sep 1. doi: 10.1038/s41592-025-02805-0.
2
Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment.癌症免疫治疗中的单细胞多组学:从肿瘤异质性到个性化精准治疗
Mol Cancer. 2025 Aug 25;24(1):221. doi: 10.1186/s12943-025-02426-3.
3
IT-scC&T-seq streamlines scalable, parallel profiling of protein-DNA interactions in single cells.
IT-scC&T-seq简化了单细胞中蛋白质与DNA相互作用的可扩展并行分析。
Genome Biol. 2025 Jul 7;26(1):196. doi: 10.1186/s13059-025-03661-z.
4
Single-Cell Multi-Omics: Insights into Therapeutic Innovations to Advance Treatment in Cancer.单细胞多组学:对推动癌症治疗进展的治疗创新的见解
Int J Mol Sci. 2025 Mar 9;26(6):2447. doi: 10.3390/ijms26062447.
5
Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones.无需预先进行全基因组扩增的单细胞基因组和转录组测序揭示了黑色素瘤亚克隆的细胞状态可塑性。
Nucleic Acids Res. 2025 Mar 20;53(6). doi: 10.1093/nar/gkaf173.
6
Semi-automated IT-scATAC-seq profiles cell-specific chromatin accessibility in differentiation and peripheral blood populations.半自动IT-scATAC-seq可分析分化细胞和外周血群体中细胞特异性染色质可及性。
Nat Commun. 2025 Mar 17;16(1):2635. doi: 10.1038/s41467-025-57931-2.
7
Benchmarking copy number aberrations inference tools using single-cell multi-omics datasets.使用单细胞多组学数据集对拷贝数变异推断工具进行基准测试。
Brief Bioinform. 2025 Mar 4;26(2). doi: 10.1093/bib/bbaf076.
8
Single-cell sequencing reveals the mechanisms of multiple myeloma progression: clarity or confusion?单细胞测序揭示多发性骨髓瘤进展机制:明晰还是困惑?
Ann Hematol. 2025 Feb;104(2):895-912. doi: 10.1007/s00277-025-06241-0. Epub 2025 Feb 7.
9
Exploring genome-transcriptome correlations in cancer.探索癌症中的基因组-转录组相关性。
Biochem Soc Trans. 2025 Feb 5;53(1):BST20240108. doi: 10.1042/BST20240108.
10
Diffusion Smart-seq3 of breast cancer spheroids to explore spatial tumor biology and test evolutionary principles of tumor heterogeneity.乳腺癌球体的扩散式智能测序3以探索空间肿瘤生物学并检验肿瘤异质性的进化原理。
Sci Rep. 2025 Jan 30;15(1):3811. doi: 10.1038/s41598-024-83989-x.