Dengue Virus Defective Genomes Identified Across Hosts and Passages

A bioinformatics analysis identified copyback and deletion-type defective viral genomes (DVGs) in dengue virus using NGS data from patients, mosquitoes, and cell lines. The dataset, authored by Jianhai Yu and last updated in May 2026, includes results from clustering algorithms that predicted DVGs stable across different hosts, with one candidate experimentally validated. The file is a 915.5 KB DOCX document containing the analysis table.

Use Cases

• Analyze the distribution patterns of defective viral genomes (DVGs) across different host types based on the description of patient, mosquito, and cell line samples.
• Identify DVGs predicted to be stably maintained across hosts based on the clustering analysis results described.
• Compare the dynamics of deletion-type DVGs during serial passaging in different cell cultures as mentioned in the methods.
• Investigate the prevalence of 3' copyback DVGs in patient serum samples as highlighted in the results.

Strengths

• Includes data from multiple host sources: patient sera, Aedes albopictus mosquitoes, C6/36 cells, and Vero cells.
• One predicted DVG candidate (DeletionA6) was experimentally validated by nested PCR in patient sera.
• Analysis covers multiple dengue virus serotypes (DENV-1 to DENV-4) as indicated by the validation step.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (915.5 KB), indicating limited scope, likely containing summary tables rather than raw sequence data.

Provenance

Source

figshare

Collection Method

Bioinformatics analysis using DVGfinder software on dengue virus NGS data.

Time Range

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Freshness

Last updated 2026-05-20 05:23:50; freshness should be verified.

Geography

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