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对[具体内容]和[具体内容]进行梯度离心分离测序(Grad-seq)分析,可全面了解这两种机会致病菌中的RNA和蛋白质复合物。

Grad-seq analysis of and provides a global view of RNA and protein complexes in these two opportunistic pathogens.

作者信息

Michaux Charlotte, Gerovac Milan, Hansen Elisabeth E, Barquist Lars, Vogel Jörg

机构信息

Institute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Straße, 97080, Würzburg, Germany.

Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Josef-Schneider-Straße, 97080, Würzburg, Germany.

出版信息

Microlife. 2022 Dec 27;4:uqac027. doi: 10.1093/femsml/uqac027. eCollection 2023.

Abstract

and are major nosocomial pathogens. Despite their relevance to public health and their role in the development of bacterial antibiotic resistance, relatively little is known about gene regulation in these species. RNA-protein complexes serve crucial functions in all cellular processes associated with gene expression, including post-transcriptional control mediated by small regulatory RNAs (sRNAs). Here, we present a new resource for the study of enterococcal RNA biology, employing the Grad-seq technique to comprehensively predict complexes formed by RNA and proteins in V583 and AUS0004. Analysis of the generated global RNA and protein sedimentation profiles led to the identification of RNA-protein complexes and putative novel sRNAs. Validating our data sets, we observe well-established cellular RNA-protein complexes such as the 6S RNA-RNA polymerase complex, suggesting that 6S RNA-mediated global control of transcription is conserved in enterococci. Focusing on the largely uncharacterized RNA-binding protein KhpB, we use the RIP-seq technique to predict that KhpB interacts with sRNAs, tRNAs, and untranslated regions of mRNAs, and might be involved in the processing of specific tRNAs. Collectively, these datasets provide departure points for in-depth studies of the cellular interactome of enterococci that should facilitate functional discovery in these and related Gram-positive species. Our data are available to the community through a user-friendly Grad-seq browser that allows interactive searches of the sedimentation profiles (https://resources.helmholtz-hiri.de/gradseqef/).

摘要

[具体细菌名称1]和[具体细菌名称2]是主要的医院病原体。尽管它们与公共卫生相关且在细菌抗生素耐药性发展中起作用,但对这些物种中的基因调控了解相对较少。RNA - 蛋白质复合物在与基因表达相关的所有细胞过程中发挥关键作用,包括由小调控RNA(sRNA)介导的转录后控制。在这里,我们提供了一种用于研究肠球菌RNA生物学的新资源,采用梯度离心测序(Grad - seq)技术全面预测[具体细菌名称1]V583和[具体细菌名称2]AUS0004中由RNA和蛋白质形成的复合物。对生成的全局RNA和蛋白质沉降谱的分析导致了RNA - 蛋白质复合物和推定的新型sRNA的鉴定。通过验证我们的数据集,我们观察到了成熟的细胞RNA - 蛋白质复合物,如6S RNA - RNA聚合酶复合物,这表明6S RNA介导的全局转录控制在肠球菌中是保守的。聚焦于基本未被表征的RNA结合蛋白KhpB,我们使用RNA免疫沉淀测序(RIP - seq)技术预测KhpB与sRNA、tRNA和mRNA的非翻译区相互作用,并且可能参与特定tRNA的加工。总体而言,这些数据集为深入研究肠球菌的细胞相互作用组提供了出发点,这应该有助于在这些及相关革兰氏阳性物种中进行功能发现。我们的数据通过一个用户友好的Grad - seq浏览器提供给社区,该浏览器允许对沉降谱进行交互式搜索(https://resources.helmholtz - hiri.de/gradseqef/)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e891/10117718/b84db200b4be/uqac027fig1.jpg

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