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EB病毒感染的B细胞淋巴瘤转录组的热力学和结构特征

Thermodynamic and structural characterization of an EBV infected B-cell lymphoma transcriptome.

作者信息

O'Leary Collin A, Van Tompkins S, Rouse Warren B, Nam Gijong, Moss Walter N

机构信息

Roy J. Carver Department of Biophysics, Biochemistry and Molecular Biology, Iowa State University, Ames, IA 50011, USA.

出版信息

NAR Genom Bioinform. 2022 Oct 21;4(4):lqac082. doi: 10.1093/nargab/lqac082. eCollection 2022 Dec.

Abstract

Epstein-Barr virus (EBV) is a widely prevalent human herpes virus infecting over 95% of all adults and is associated with a variety of B-cell cancers and induction of multiple sclerosis. EBV accomplishes this in part by expression of coding and noncoding RNAs and alteration of the host cell transcriptome. To better understand the structures which are forming in the viral and host transcriptomes of infected cells, the RNA structure probing technique Structure-seq2 was applied to the BJAB-B1 cell line (an EBV infected B-cell lymphoma). This resulted in reactivity profiles and secondary structural analyses for over 10000 human mRNAs and lncRNAs, along with 19 lytic and latent EBV transcripts. We report in-depth structural analyses for the human mRNA and the human lncRNA . Additionally, we provide a new model for the EBV noncoding RNA EBER2 and provide the first reported model for the EBV tandem terminal repeat RNA. In-depth thermodynamic and structural analyses were carried out with the motif discovery tool ScanFold and RNAfold prediction tool; subsequent covariation analyses were performed on resulting models finding various levels of support. ScanFold results for all analyzed transcripts are made available for viewing and download on the user-friendly RNAStructuromeDB.

摘要

爱泼斯坦-巴尔病毒(EBV)是一种广泛流行的人类疱疹病毒,感染了超过95%的成年人,并与多种B细胞癌症以及多发性硬化症的诱发有关。EBV部分通过编码和非编码RNA的表达以及宿主细胞转录组的改变来实现这一点。为了更好地了解受感染细胞的病毒和宿主转录组中形成的结构,RNA结构探测技术Structure-seq2被应用于BJAB-B1细胞系(一种EBV感染的B细胞淋巴瘤)。这产生了超过10000个人类mRNA和lncRNA以及19种EBV裂解和潜伏转录本的反应性图谱和二级结构分析。我们报告了对人类mRNA和人类lncRNA的深入结构分析。此外,我们为EBV非编码RNA EBER2提供了一个新模型,并提供了首个报道的EBV串联末端重复RNA模型。使用基序发现工具ScanFold和RNAfold预测工具进行了深入的热力学和结构分析;随后对所得模型进行了共变分析,发现了不同程度的支持。所有分析转录本的ScanFold结果可在用户友好的RNAStructuromeDB上查看和下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b5f/9585548/b57387ca0d6f/lqac082fig1.jpg

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