Transcriptomic Data on Retinoic Acid Inhibition of PRRSV Infection

713.6 KB of transcriptomic profiling data from a study evaluating the antiviral effects of all-trans retinoic acid (ATRA) against porcine reproductive and respiratory syndrome virus (PRRSV). The dataset, authored by Jintong Guo and shared under CC BY 4.0, contains results from experiments on MARC-145 cells and primary porcine alveolar macrophages (PAMs). It captures gene expression changes related to immune signaling, inflammation, and lipid homeostasis.

Use Cases

• Analyze transcriptomic profiles of uninfected versus PRRSV-infected PAMs to identify hyperinflammatory response markers.
• Compare gene expression for lipid homeostasis pathways between ATRA-treated and untreated infected cells.
• Investigate upregulated basal immune signaling pathways in uninfected PAMs following ATRA treatment.
• Correlate transcriptomic changes in metabolic transport pathways with the inhibition of viral replication data.

Strengths

• Data is derived from controlled experiments on two cell types: MARC-145 cells and primary porcine alveolar macrophages (PAMs).
• Transcriptomic profiling provides specific insights into immune signaling, inflammation, and lipid homeostasis pathways.
• Dataset is openly shared under a permissive CC BY 4.0 license, facilitating reuse.

Limitations

• The dataset is small in scale at 713.6 KB, limiting the scope for large-scale machine learning modeling.
• Specific row counts, column names, and sample data are unavailable, complicating preliminary assessment of data structure.
• Data is confined to in vitro cell line studies, which may not directly translate to in vivo porcine models.

Provenance

Source

Jintong Guo via figshare.

Collection Method

Generated from laboratory experiments including cell culture, viral infection assays, and RNA sequencing for transcriptomic profiling.

Freshness

Last updated on 2026-03-24.