ZIKAVID
ZIKAVID catalogs experimentally identified mRNA and protein expression changes associated with Zika virus (ZIKV) infection across diverse experimental hosts and viral strains to support molecular analysis of ZIKV pathogenesis.
Key Features:
- Extensive Data Repository: Contains 16,984 entries with gene expression measurements from 7,348 genes experimentally identified as altered following ZIKV infection.
- Searchable Metadata Filters: Data are annotated by experimental host (cell lines, tissues, animal models), ZIKV strains (African, Asian, Brazilian), and target molecules (mRNA, proteins) to enable targeted retrieval.
- Differential Expression Support: Aggregated experimentally validated gene expression data enable differential expression analyses to investigate transcriptional and proteomic changes.
- Molecular Characterization Resource: Aggregation of multi-host and multi-strain data facilitates characterization of molecular impacts and pathogenesis of ZIKV across biological systems and viral variants.
Scientific Applications:
- Gene and Protein Target Identification: Identification of genes and proteins consistently altered by ZIKV infection for downstream functional studies.
- Host-Pathogen Interaction Studies: Comparative analysis across cell lines, tissues, and animal models to investigate host responses to ZIKV.
- Strain-Specific Analyses: Comparison of molecular alterations associated with African, Asian, and Brazilian ZIKV strains to assess variant-specific effects.
- Translational and Public Health Research: Use of experimentally validated expression data to inform therapeutic target selection and epidemiological response strategies.
Methodology:
Data were compiled through manual curation of experimentally derived gene expression measurements across diverse experimental hosts and ZIKV strains.
Topics
Details
- Added:
- 11/14/2019
- Last Updated:
- 1/7/2021
Operations
Publications
Rosa RL, Santi L, Berger M, Tureta EF, Quincozes-Santos A, Souza DO, Guimarães JA, Beys-da-Silva WO. ZIKAVID—Zika virus infection database: a new platform to analyze the molecular impact of Zika virus infection. Journal of NeuroVirology. 2019;26(1):77-83. doi:10.1007/s13365-019-00799-y. PMID:31512145.
Downloads
- Downloads pagehttps://zikavid.org/download/