• 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

CeFra-seq:通过细胞分级分离与深度测序相结合来系统地绘制 RNA 亚细胞分布特性图谱。

CeFra-seq: Systematic mapping of RNA subcellular distribution properties through cell fractionation coupled to deep-sequencing.

机构信息

Institut de Recherches Cliniques de Montréal (IRCM), Montréal, Québec, Canada; Département de Biochimie, Université de Montréal, Montréal, Québec, Canada.

Institut de Recherches Cliniques de Montréal (IRCM), Montréal, Québec, Canada.

出版信息

Methods. 2017 Aug 15;126:138-148. doi: 10.1016/j.ymeth.2017.05.017. Epub 2017 Jun 2.

DOI:10.1016/j.ymeth.2017.05.017
PMID:28579403
Abstract

The subcellular trafficking of RNA molecules is a conserved feature of eukaryotic cells and plays key functions in diverse processes implicating polarised cellular activities. Large-scale imaging and subcellular transcriptomic studies suggest that regulated RNA localization is a highly prevalent process that appears to be disrupted in several neuromuscular disorders. These features underline the importance and usefulness of implementing procedures to assess global transcriptome subcellular distribution properties. Here, we present a method combining biochemical fractionation of cells and high-throughput RNA sequencing (CeFra-seq) that enables rapid and efficient systematic mapping of RNA cytotopic distributions in cells. The described procedure involves biochemical fractionation to derive extracts of nuclear, cytosolic, endomembrane, cytoplasmic insoluble and extracellular material from cell culture lines. The RNA content of each fraction can then be profiled by deep-sequencing, revealing global subcellular signatures. We provide a detailed protocol for the CeFra-seq procedure along with relevant validation steps and data analysis guidelines to graphically represent RNA spatial distribution features. As a complement to imaging approaches, CeFra-seq represents a powerful and scalable tool to investigate global alterations in RNA trafficking.

摘要

RNA 分子的亚细胞转运是真核细胞的一个保守特征,在涉及极化细胞活动的多种过程中发挥关键作用。大规模成像和亚细胞转录组学研究表明,受调控的 RNA 定位是一种高度普遍的过程,似乎在几种神经肌肉疾病中被破坏。这些特征强调了实施程序以评估全局转录组亚细胞分布特性的重要性和有用性。在这里,我们提出了一种结合细胞生化分离和高通量 RNA 测序(CeFra-seq)的方法,该方法能够快速有效地系统绘制细胞中 RNA 细胞定位分布。所描述的程序涉及生化分离,从细胞培养系中提取核、胞质、内膜、细胞质不可溶和细胞外材料的提取物。然后可以通过深度测序对每个馏分的 RNA 含量进行分析,从而揭示全局亚细胞特征。我们提供了 CeFra-seq 程序的详细方案以及相关验证步骤和数据分析指南,以图形方式表示 RNA 空间分布特征。作为对成像方法的补充,CeFra-seq 是一种强大且可扩展的工具,可用于研究 RNA 运输的全局变化。

相似文献

1
CeFra-seq: Systematic mapping of RNA subcellular distribution properties through cell fractionation coupled to deep-sequencing.CeFra-seq:通过细胞分级分离与深度测序相结合来系统地绘制 RNA 亚细胞分布特性图谱。
Methods. 2017 Aug 15;126:138-148. doi: 10.1016/j.ymeth.2017.05.017. Epub 2017 Jun 2.
2
A Detailed Protocol for Subcellular RNA Sequencing (subRNA-seq).亚细胞RNA测序(subRNA-seq)的详细方案。
Curr Protoc Mol Biol. 2017 Oct 2;120:4.29.1-4.29.18. doi: 10.1002/cpmb.44.
3
SINC-seq: correlation of transient gene expressions between nucleus and cytoplasm reflects single-cell physiology.SINC-seq:核质间瞬时基因表达的相关性反映了单细胞的生理学特性。
Genome Biol. 2018 Jun 6;19(1):66. doi: 10.1186/s13059-018-1446-9.
4
CeFra-seq reveals broad asymmetric mRNA and noncoding RNA distribution profiles in and human cells.CeFra-seq揭示了小鼠和人类细胞中广泛的不对称mRNA和非编码RNA分布图谱。
RNA. 2018 Jan;24(1):98-113. doi: 10.1261/rna.063172.117. Epub 2017 Oct 27.
5
Cellular Fractionation and Isolation of Chromatin-Associated RNA.细胞分级分离与染色质相关RNA的分离
Methods Mol Biol. 2017;1468:1-9. doi: 10.1007/978-1-4939-4035-6_1.
6
RNA-GPS predicts high-resolution RNA subcellular localization and highlights the role of splicing.RNA-GPS 预测高分辨率 RNA 亚细胞定位,并强调剪接的作用。
RNA. 2020 Jul;26(7):851-865. doi: 10.1261/rna.074161.119. Epub 2020 Mar 27.
7
Global Run-On Sequencing (GRO-Seq).全球连续转录测序(GRO-Seq)。
Methods Mol Biol. 2017;1468:111-20. doi: 10.1007/978-1-4939-4035-6_9.
8
Mapping the small RNA interactome in bacteria using RIL-seq.利用 RIL-seq 绘制细菌中的小 RNA 相互作用组。
Nat Protoc. 2018 Jan;13(1):1-33. doi: 10.1038/nprot.2017.115. Epub 2017 Dec 7.
9
Efficient cellular fractionation improves RNA sequencing analysis of mature and nascent transcripts from human tissues.高效的细胞分离可提高人组织中成熟和新生转录本的 RNA 测序分析。
BMC Biotechnol. 2013 Nov 13;13:99. doi: 10.1186/1472-6750-13-99.
10
RNA sequencing: from sample preparation to analysis.RNA测序:从样本制备到分析
Methods Mol Biol. 2014;1164:51-65. doi: 10.1007/978-1-4939-0805-9_6.

引用本文的文献

1
Studying relative RNA localization from nucleus to the cytosol.研究相关RNA从细胞核到细胞质的定位。
NAR Genom Bioinform. 2025 Jun 20;7(2):lqaf032. doi: 10.1093/nargab/lqaf032. eCollection 2025 Jun.
2
TAS-seq enables subcellular single-stranded adenosine profiling by signal peptide-assisted adenosine deamination.TAS-seq通过信号肽辅助的腺苷脱氨作用实现亚细胞单链腺苷分析。
Cell Rep Methods. 2025 Jul 21;5(7):101087. doi: 10.1016/j.crmeth.2025.101087. Epub 2025 Jun 25.
3
EDCLoc: a prediction model for mRNA subcellular localization using improved focal loss to address multi-label class imbalance.
EDCLoc:一种用于mRNA亚细胞定位的预测模型,使用改进的焦点损失来解决多标签类不平衡问题。
BMC Genomics. 2024 Dec 27;25(1):1252. doi: 10.1186/s12864-024-11173-6.
4
DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships.DRpred:一种新型的深度学习预测器,通过纳入贝叶斯推断的先验标签关系,用于多标签 mRNA 亚细胞定位预测。
Biomolecules. 2024 Aug 26;14(9):1067. doi: 10.3390/biom14091067.
5
Spatial omics advances for in situ RNA biology.空间组学技术在原位 RNA 生物学中的应用进展
Mol Cell. 2024 Oct 3;84(19):3737-3757. doi: 10.1016/j.molcel.2024.08.002. Epub 2024 Sep 12.
6
Studying relative RNA localization From nucleus to the cytosol.研究从细胞核到细胞质的相关RNA定位
bioRxiv. 2024 Mar 11:2024.03.06.583744. doi: 10.1101/2024.03.06.583744.
7
Unified mRNA Subcellular Localization Predictor based on machine learning techniques.基于机器学习技术的统一 mRNA 亚细胞定位预测器。
BMC Genomics. 2024 Feb 7;25(1):151. doi: 10.1186/s12864-024-10077-9.
8
Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing.利用长读长纳米孔测序技术对细胞外囊泡的多聚腺苷酸化转录组进行分析。
BMC Genomics. 2023 Sep 22;24(1):564. doi: 10.1186/s12864-023-09552-6.
9
MSLP: mRNA subcellular localization predictor based on machine learning techniques.MSLP:基于机器学习技术的 mRNA 亚细胞定位预测器。
BMC Bioinformatics. 2023 Mar 22;24(1):109. doi: 10.1186/s12859-023-05232-0.
10
LAFITE Reveals the Complexity of Transcript Isoforms in Subcellular Fractions.拉非特揭示了亚细胞组分中转录本异构体的复杂性。
Adv Sci (Weinh). 2023 Jan;10(3):e2203480. doi: 10.1002/advs.202203480. Epub 2022 Dec 3.