• 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

多组学扰动测序实现了对转录组和表观基因组综合扰动效应的可扩展发现。

Multiome Perturb-seq unlocks scalable discovery of integrated perturbation effects on the transcriptome and epigenome.

作者信息

Metzner Eli, Southard Kaden M, Norman Thomas M

机构信息

Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA.

Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

出版信息

Cell Syst. 2025 Jan 15;16(1):101161. doi: 10.1016/j.cels.2024.12.002. Epub 2024 Dec 16.

DOI:10.1016/j.cels.2024.12.002
PMID:39689711
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11738662/
Abstract

Single-cell CRISPR screens link genetic perturbations to transcriptional states, but high-throughput methods connecting these induced changes to their regulatory foundations are limited. Here, we introduce Multiome Perturb-seq, extending single-cell CRISPR screens to simultaneously measure perturbation-induced changes in gene expression and chromatin accessibility. We apply Multiome Perturb-seq in a CRISPRi screen of 13 chromatin remodelers in human RPE-1 cells, achieving efficient assignment of sgRNA identities to single nuclei via an improved method for capturing barcode transcripts from nuclear RNA. We organize expression and accessibility measurements into coherent programs describing the integrated effects of perturbations on cell state, finding that ARID1A and SUZ12 knockdowns induce programs enriched for developmental features. Modeling of perturbation-induced heterogeneity connects accessibility changes to changes in gene expression, highlighting the value of multimodal profiling. Overall, our method provides a scalable and simply implemented system to dissect the regulatory logic underpinning cell state. A record of this paper's transparent peer review process is included in the supplemental information.

摘要

单细胞CRISPR筛选将基因扰动与转录状态联系起来,但将这些诱导变化与其调控基础相连接的高通量方法却很有限。在此,我们引入了多组学扰动测序(Multiome Perturb-seq),将单细胞CRISPR筛选扩展到同时测量扰动诱导的基因表达和染色质可及性变化。我们在人RPE-1细胞中对13种染色质重塑因子进行的CRISPR干扰筛选中应用了多组学扰动测序,通过一种改进的从核RNA捕获条形码转录本的方法,实现了将sgRNA身份有效分配到单个细胞核。我们将表达和可及性测量组织成连贯的程序,描述扰动对细胞状态的综合影响,发现敲低ARID1A和SUZ12会诱导富含发育特征的程序。对扰动诱导的异质性进行建模,将可及性变化与基因表达变化联系起来,突出了多模态分析的价值。总体而言,我们的方法提供了一个可扩展且易于实施的系统,以剖析支撑细胞状态的调控逻辑。本文透明同行评审过程的记录包含在补充信息中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f340/11738662/b4945ae134cd/nihms-2040923-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f340/11738662/fb8eda12cc8b/nihms-2040923-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f340/11738662/b4945ae134cd/nihms-2040923-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f340/11738662/fb8eda12cc8b/nihms-2040923-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f340/11738662/b4945ae134cd/nihms-2040923-f0003.jpg

相似文献

1
Multiome Perturb-seq unlocks scalable discovery of integrated perturbation effects on the transcriptome and epigenome.多组学扰动测序实现了对转录组和表观基因组综合扰动效应的可扩展发现。
Cell Syst. 2025 Jan 15;16(1):101161. doi: 10.1016/j.cels.2024.12.002. Epub 2024 Dec 16.
2
Multiome Perturb-seq unlocks scalable discovery of integrated perturbation effects on the transcriptome and epigenome.多组学扰动测序实现了对转录组和表观基因组综合扰动效应的可扩展发现。
bioRxiv. 2024 Jul 27:2024.07.26.605307. doi: 10.1101/2024.07.26.605307.
3
Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data.无配对和配对单细胞 RNA-seq 和 ATAC-seq 数据联合整合算法的基准测试。
Genome Biol. 2023 Oct 24;24(1):244. doi: 10.1186/s13059-023-03073-x.
4
Comprehensive single-cell chromatin and transcriptomic profiling of peripheral immune cells in nonsegmental vitiligo.非节段性白癜风外周免疫细胞的单细胞染色质和转录组综合分析
Br J Dermatol. 2025 Jun 20;193(1):115-124. doi: 10.1093/bjd/ljaf041.
5
Deciphering gene regulatory programs in mouse embryonic skin through single-cell multiomics analysis.通过单细胞多组学分析解析小鼠胚胎皮肤中的基因调控程序。
Genome Biol. 2025 Jul 1;26(1):187. doi: 10.1186/s13059-025-03652-0.
6
An efficient -inducible CRISPR interference system for group A genetic analysis and pathogenesis studies.一种高效诱导型 CRISPR 干扰系统,用于 A 组遗传分析和发病机制研究。
mBio. 2024 Aug 14;15(8):e0084024. doi: 10.1128/mbio.00840-24. Epub 2024 Jul 2.
7
Short-Term Memory Impairment短期记忆障碍
8
A scRNA-seq reference contrasting living and early post-mortem human retina across diverse donor states.一个单细胞RNA测序参考数据集,对比了不同供体状态下的活体和早期死后人类视网膜。
Hum Genomics. 2025 Jul 14;19(1):81. doi: 10.1186/s40246-025-00796-9.
9
New insights for precision treatment of glioblastoma from analysis of single-cell lncRNA expression.从单细胞 lncRNA 表达分析中获得胶质母细胞瘤精准治疗的新见解。
J Cancer Res Clin Oncol. 2021 Jul;147(7):1881-1895. doi: 10.1007/s00432-021-03584-9. Epub 2021 Mar 11.
10
Massively parallel in vivo Perturb-seq screening.大规模平行体内扰动序列筛选。
Nat Protoc. 2025 Feb 12. doi: 10.1038/s41596-024-01119-3.

引用本文的文献

1
Methods for multiplexing single-cell multi-omics.单细胞多组学的多重分析方法。
Nat Methods. 2025 May 26. doi: 10.1038/s41592-025-02657-8.
2
Spatially Resolved Panoramic in vivo CRISPR Screen via Perturb-DBiT.通过Perturb-DBiT进行空间分辨的全景体内CRISPR筛选
Res Sq. 2025 May 8:rs.3.rs-6481967. doi: 10.21203/rs.3.rs-6481967/v1.
3
Unraveling the future of genomics: CRISPR, single-cell omics, and the applications in cancer and immunology.揭开基因组学的未来:CRISPR、单细胞组学及其在癌症和免疫学中的应用。

本文引用的文献

1
Multiplexed, image-based pooled screens in primary cells and tissues with PerturbView.使用PerturbView在原代细胞和组织中进行基于图像的多重汇集筛选。
Nat Biotechnol. 2024 Oct 7. doi: 10.1038/s41587-024-02391-0.
2
Single cell dual-omic atlas of the human developing retina.人类发育视网膜的单细胞双组学图谱
Nat Commun. 2024 Aug 9;15(1):6792. doi: 10.1038/s41467-024-50853-5.
3
Mapping genotypes to chromatin accessibility profiles in single cells.在单细胞中对基因型进行作图以获得染色质可及性图谱。
Front Genome Ed. 2025 Apr 11;7:1565387. doi: 10.3389/fgeed.2025.1565387. eCollection 2025.
4
Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes.转录因子网络在血细胞表型的遗传力方面存在不成比例的富集。
Science. 2025 Apr 4;388(6742):52-59. doi: 10.1126/science.ads7951. Epub 2025 Apr 3.
5
Causal machine learning for single-cell genomics.用于单细胞基因组学的因果机器学习。
Nat Genet. 2025 Apr;57(4):797-808. doi: 10.1038/s41588-025-02124-2. Epub 2025 Mar 31.
6
Spatially Resolved CRISPR Screen Sequencing via Perturb-DBiT.通过Perturb-DBiT进行空间分辨的CRISPR筛选测序
bioRxiv. 2024 Nov 19:2024.11.18.624106. doi: 10.1101/2024.11.18.624106.
7
Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes.转录因子网络在血细胞表型的遗传力方面存在不成比例的富集。
bioRxiv. 2024 Sep 9:2024.09.09.611392. doi: 10.1101/2024.09.09.611392.
Nature. 2024 May;629(8014):1149-1157. doi: 10.1038/s41586-024-07388-y. Epub 2024 May 8.
4
Tissue-specific enhancer-gene maps from multimodal single-cell data identify causal disease alleles.多模态单细胞数据的组织特异性增强子-基因图谱确定因果疾病等位基因。
Nat Genet. 2024 Apr;56(4):615-626. doi: 10.1038/s41588-024-01682-1. Epub 2024 Apr 9.
5
Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis.单细胞多组学回归模型可识别功能和疾病相关的增强子,并可进行染色质潜能分析。
Nat Genet. 2024 Apr;56(4):627-636. doi: 10.1038/s41588-024-01689-8. Epub 2024 Mar 21.
6
Rewiring of the epigenome and chromatin architecture by exogenously induced retinoic acid signaling during zebrafish embryonic development.在斑马鱼胚胎发育过程中,外源性诱导的视黄酸信号对表观基因组和染色质结构的重塑
Nucleic Acids Res. 2024 Apr 24;52(7):3682-3701. doi: 10.1093/nar/gkae065.
7
scPerturb: harmonized single-cell perturbation data.scPerturb:协调的单细胞扰动数据。
Nat Methods. 2024 Mar;21(3):531-540. doi: 10.1038/s41592-023-02144-y. Epub 2024 Jan 26.
8
A fast, scalable and versatile tool for analysis of single-cell omics data.一种快速、可扩展且功能多样的单细胞组学数据分析工具。
Nat Methods. 2024 Feb;21(2):217-227. doi: 10.1038/s41592-023-02139-9. Epub 2024 Jan 8.
9
Uniform quantification of single-nucleus ATAC-seq data with Paired-Insertion Counting (PIC) and a model-based insertion rate estimator.使用 Paired-Insertion Counting(PIC)和基于模型的插入率估计器对单细胞 ATAC-seq 数据进行统一量化。
Nat Methods. 2024 Jan;21(1):32-36. doi: 10.1038/s41592-023-02103-7. Epub 2023 Dec 4.
10
Modeling fragment counts improves single-cell ATAC-seq analysis.建模片段计数可改善单细胞 ATAC-seq 分析。
Nat Methods. 2024 Jan;21(1):28-31. doi: 10.1038/s41592-023-02112-6. Epub 2023 Dec 4.