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蜱传脑炎病毒感染宿主细胞的多蛋白质组学和互作组数据集。

Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells.

机构信息

Department of Infectious Diseases and Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, The First Hospital of Jilin University, Changchun, 130012, China.

China-Japan Union Hospital of Jilin University, Changchun, 130031, China.

出版信息

Sci Data. 2024 Nov 25;11(1):1280. doi: 10.1038/s41597-024-04036-y.

Abstract

Tick-borne encephalitis virus (TBEV) is a significant viral pathogen transmitted by ticks, causing severe neurological complications in humans across Europe and Asia, highlighting the urgent need for an in-depth understanding of molecular functions of viral proteins and their interactions with the host proteome. Multi-omics analysis of how TBEV hijack cellular processes provides information about their replication and pathogenic mechanisms. Here, we focused on the proteome, phosphoproteome, and acetylproteome of Vero cells infected by TBEV, revealing the host perturbations triggered by TBEV infection. Additionally, we performed protein-protein interactome analysis to examine the interactions between TBEV and the host. We have provided technical validation, demonstrating the high quality and correlation of samples across all datasets, and evidence of biological consistency of virus-infected cells at the proteomic, phosphoproteomics and acetylomic levels. This comprehensive multi-omics dataset serves as a valuable resource for studying TBEV pathogenesis and identifying potential drug targets for TBEV therapy.

摘要

蜱传脑炎病毒(TBEV)是一种通过蜱传播的重要病毒病原体,在欧洲和亚洲导致严重的神经并发症,凸显了深入了解病毒蛋白的分子功能及其与宿主蛋白质组相互作用的紧迫性。蜱传脑炎病毒劫持细胞过程的多组学分析提供了有关其复制和发病机制的信息。在这里,我们专注于 TBEV 感染的 Vero 细胞的蛋白质组、磷酸化蛋白质组和乙酰化蛋白质组,揭示了 TBEV 感染引发的宿主扰动。此外,我们还进行了蛋白质相互作用组分析,以研究 TBEV 与宿主之间的相互作用。我们提供了技术验证,证明了所有数据集之间样本的高质量和相关性,以及病毒感染细胞在蛋白质组学、磷酸化蛋白质组学和乙酰化蛋白质组学水平上的生物学一致性的证据。这个全面的多组学数据集是研究 TBEV 发病机制和确定 TBEV 治疗潜在药物靶点的宝贵资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/368d/11589117/3489cbbd89b0/41597_2024_4036_Fig1_HTML.jpg

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