Suppr超能文献

细菌和宿主细胞双 RNA 测序实验的生物信息学分析。

Bioinformatic analysis of bacteria and host cell dual RNA-sequencing experiments.

机构信息

The ithree institute, University of Technology Sydney.

Institute for Genome Sciences at the University of Maryland, Baltimore.

出版信息

Brief Bioinform. 2018 Nov 27;19(6):1115-1129. doi: 10.1093/bib/bbx043.

Abstract

Bacterial pathogens subvert host cells by manipulating cellular pathways for survival and replication; in turn, host cells respond to the invading pathogen through cascading changes in gene expression. Deciphering these complex temporal and spatial dynamics to identify novel bacterial virulence factors or host response pathways is crucial for improved diagnostics and therapeutics. Dual RNA sequencing (dRNA-Seq) has recently been developed to simultaneously capture host and bacterial transcriptomes from an infected cell. This approach builds on the high sensitivity and resolution of RNA sequencing technology and is applicable to any bacteria that interact with eukaryotic cells, encompassing parasitic, commensal or mutualistic lifestyles. Several laboratory protocols have been presented that outline the collection, extraction and sequencing of total RNA for dRNA-Seq experiments, but there is relatively little guidance available for the detailed bioinformatic analyses required. This protocol outlines a typical dRNA-Seq experiment, based on a Chlamydia trachomatis-infected host cell, with a detailed description of the necessary bioinformatic analyses with currently available software tools.

摘要

细菌病原体通过操纵细胞途径来生存和复制,从而颠覆宿主细胞;反过来,宿主细胞通过基因表达的级联变化来对入侵的病原体做出反应。为了提高诊断和治疗效果,解析这些复杂的时空动态,以识别新的细菌毒力因子或宿主反应途径至关重要。双 RNA 测序(dRNA-Seq)最近被开发出来,用于从感染细胞中同时捕获宿主和细菌的转录组。这种方法建立在 RNA 测序技术的高灵敏度和分辨率的基础上,适用于与真核细胞相互作用的任何细菌,包括寄生、共生或互利的生活方式。已经提出了几种实验室方案,概述了用于 dRNA-Seq 实验的总 RNA 的收集、提取和测序,但对于所需的详细生物信息学分析,相对较少有指导。本方案基于感染沙眼衣原体的宿主细胞,概述了一个典型的 dRNA-Seq 实验,并详细描述了使用当前可用的软件工具进行必要的生物信息学分析。

相似文献

2
Dual RNA-Seq of Chlamydia and Host Cells.衣原体与宿主细胞的双重RNA测序
Methods Mol Biol. 2019;2042:123-135. doi: 10.1007/978-1-4939-9694-0_9.
3
Simultaneous transcriptional profiling of bacteria and their host cells.细菌及其宿主细胞的同步转录谱分析。
PLoS One. 2013 Dec 4;8(12):e80597. doi: 10.1371/journal.pone.0080597. eCollection 2013.
9
Host-Pathogen Transcriptomics by Dual RNA-Seq.基于双重RNA测序的宿主-病原体转录组学
Methods Mol Biol. 2018;1737:59-75. doi: 10.1007/978-1-4939-7634-8_4.

引用本文的文献

5
Legume-rhizobia symbiosis: Translatome analysis.豆科植物-根瘤菌共生:转录组分析
Genet Mol Biol. 2024 Jul 1;47Suppl 1(Suppl 1):e20230284. doi: 10.1590/1678-4685-GMB-2023-0284. eCollection 2024.

本文引用的文献

3
Simulation-based comprehensive benchmarking of RNA-seq aligners.基于模拟的RNA测序比对工具综合基准测试
Nat Methods. 2017 Feb;14(2):135-139. doi: 10.1038/nmeth.4106. Epub 2016 Dec 12.
8
Near-optimal probabilistic RNA-seq quantification.近乎最优的概率 RNA-seq 定量。
Nat Biotechnol. 2016 May;34(5):525-7. doi: 10.1038/nbt.3519. Epub 2016 Apr 4.

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