Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells
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 w...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04036-y |
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| author | Liyan Sui Xuerui Guo Wenfang Wang Yueshan Xu Yicheng Zhao Quan Liu |
| author_facet | Liyan Sui Xuerui Guo Wenfang Wang Yueshan Xu Yicheng Zhao Quan Liu |
| author_sort | Liyan Sui |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-633d4c9d1d5d4abda53d09c3e5ee2a39 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-633d4c9d1d5d4abda53d09c3e5ee2a392024-12-01T12:09:16ZengNature PortfolioScientific Data2052-44632024-11-0111111010.1038/s41597-024-04036-yMulti-proteomics and interactome dataset of tick-borne encephalitis virus infected host cellsLiyan Sui0Xuerui Guo1Wenfang Wang2Yueshan Xu3Yicheng Zhao4Quan Liu5Department 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 UniversityChina-Japan Union Hospital of Jilin UniversityDepartment 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 UniversityClinical Medical College, Changchun University of Chinese MedicineChina-Japan Union Hospital of Jilin UniversityDepartment 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 UniversityAbstract 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.https://doi.org/10.1038/s41597-024-04036-y |
| spellingShingle | Liyan Sui Xuerui Guo Wenfang Wang Yueshan Xu Yicheng Zhao Quan Liu Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells Scientific Data |
| title | Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells |
| title_full | Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells |
| title_fullStr | Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells |
| title_full_unstemmed | Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells |
| title_short | Multi-proteomics and interactome dataset of tick-borne encephalitis virus infected host cells |
| title_sort | multi proteomics and interactome dataset of tick borne encephalitis virus infected host cells |
| url | https://doi.org/10.1038/s41597-024-04036-y |
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