RNA-seq Data from 30 Neural Progenitor Cells Infected with Dengue and Zika Viruses

4,587 genes grouped into 12 co-expression modules from RNA-seq data of 30 human neural progenitor cell samples infected with Dengue virus-2 and Zika virus. The dataset, created by J. K. Owaresat and last updated in April 2026, includes weighted gene co-expression network analysis results identifying virus-associated modules and hub genes. It is shared under a CC-BY-4.0 license.

Use Cases

• Identifying virus-specific gene co-expression modules based on the 12 modules and their correlations with infection.
• Analyzing hub genes for viral replication based on identified genes like CALR and HMGCS1.
• Comparing proviral and antiviral pathway enrichment based on the functional analysis (GO, KEGG, Reactome) results.
• Investigating neural-specific host responses to viral infection based on the use of human neural progenitor cell samples.

Strengths

• Includes analysis of 4,587 genes and 12 distinct co-expression modules.
• Based on RNA-seq data from 30 distinct human neural progenitor cell samples.
• Provides specific correlation metrics (e.g., r=0.92) for module-virus associations.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (7.4 KB), indicating limited raw data or highly summarized results.
• Description metadata is limited; actual data quality and completeness require manual inspection after download.

Provenance

Source

figshare, author J. K. Owaresat.

Collection Method

RNA sequencing and subsequent weighted gene co-expression network analysis (WGCNA) performed on infected cell samples.

Freshness

Last updated 2026-04-30 17:44:18; freshness should be verified.