VST ComBat Corrected: Dengue and Zika Virus Gene Co-Expression in Neural Progenitor Cells

4,587 genes from 30 human neural progenitor cell samples infected with Dengue-2 or Zika virus were grouped into 12 co-expression modules. The dataset, created by J. K. Owaresat and last updated in April 2026, contains results from a weighted gene co-expression network analysis (WGCNA) identifying virus-associated modules and hub genes. Insights may inform therapeutic strategies for neurological diseases linked to these viruses.

Use Cases

• Identify key hub genes associated with viral replication based on the CALR and HMGCS1 genes mentioned.
• Compare proviral and antiviral pathway enrichment between Dengue-2 and Zika virus infections as described in the functional analysis.
• Study virus-specific host responses, such as TGF-β signaling for DENV-2 or translation regulation for ZIKV, using the module correlations.
• Analyze shared host responses like endoplasmic reticulum stress and autophagy pathways common to both viral infections.

Strengths

• Contains 4,587 genes analyzed from 30 infected cell samples, providing a basis for comparative study.
• Identified specific co-expression modules strongly correlated with each virus (e.g., turquoise module for DENV-2, r=0.92).
• Functional enrichment analysis includes results from GO, KEGG, and Reactome pathways.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 2.3 MB file size suggests a relatively small dataset, potentially limiting the scope of analysis.

Provenance

Source

J. K. Owaresat via figshare

Collection Method

Weighted gene co-expression network analysis (WGCNA) performed on RNA-seq data from infected human neural progenitor cells.

Freshness

Last updated 2026-04-30 17:44:28; freshness should be verified.