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

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 h...

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Bibliographic Details
Published in:Scientific data 2024-11, Vol.11 (1), p.1280-10, Article 1280
Main Authors: Sui, Liyan, Guo, Xuerui, Wang, Wenfang, Xu, Yueshan, Zhao, Yicheng, Liu, Quan
Format: Article
Language:English
Subjects:
631/326/421
631/337/475/2290
692/420/254
Acids
Animals
Arachnids
Chlorocebus aethiops
Data Descriptor
Datasets
Dengue fever
Disease transmission
Encephalitis
Encephalitis Viruses, Tick-Borne
Host-Pathogen Interactions
Humanities and Social Sciences
Humans
Infections
Infectious diseases
Information processing
Laboratories
Mass spectrometry
Medical diagnosis
multidisciplinary
Neurological complications
Pathogenesis
Pathogens
Peptides
Proteins
Proteome
Proteomes
Proteomics
Quality control
Science
Science (multidisciplinary)
Scientific imaging
Therapeutic targets
Tick-borne encephalitis
Tropical diseases
Vero Cells
Viral infections
Viral Proteins - metabolism
Viruses
West Nile virus
Zoonoses
Citations: Items that this one cites
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Description
Summary: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.
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-024-04036-y