Gene Co-Expression Networks for Dengue and Zika Virus in Neural Progenitor Cells

A 2026 study by J. K. Owaresat provides gene co-expression network analysis from RNA-seq data of 30 human neural progenitor cell samples infected with Dengue-2 and Zika viruses. The analysis identified 12 co-expression modules from 4,587 genes, with specific modules strongly correlated to each viral infection. This network-based molecular study may inform therapeutic strategies for associated neurological diseases.

Use Cases

• Identify hub genes associated with viral replication based on WGCNA modules.
• Compare proviral and antiviral pathway enrichment between Dengue-2 and Zika virus infections.
• Study endoplasmic reticulum stress and protein-folding mechanisms in viral infection contexts.
• Investigate p53-mediated or inflammatory pathways as unique antiviral responses to specific flaviviruses.

Strengths

• Analysis is based on RNA-seq data from 30 infected human neural progenitor cell samples.
• Identified 12 co-expression modules from 4,587 genes, with specific modules showing strong correlation (r=0.92) to viral infection.
• Functional enrichment analysis includes GO, KEGG, and Reactome pathways for detailed biological interpretation.

Limitations

• Dataset size is 890.0 B, indicating it likely contains only summary or metadata, not the full underlying RNA-seq data.
• Row count and column-level documentation are unknown; data structure must be inferred after download.
• Description metadata is limited; actual data quality and completeness require manual inspection.

Provenance

Source

J. K. Owaresat via figshare

Collection Method

Weighted gene co-expression network analysis (WGCNA) performed on RNA-seq data from infected cell samples.

Freshness

Last updated 2026-04-30 17:44:26.