Transcriptomic Data on Retinoic Acid Inhibition of PRRSV Infection

A 2026 study by Jintong Guo provides transcriptomic data from porcine alveolar macrophages (PAMs) to investigate the antiviral effects of all-trans retinoic acid (ATRA) against the Porcine Reproductive and Respiratory Syndrome Virus (PRRSV). The dataset, 59.2 KB in size, contains results from comparative transcriptomic profiling of uninfected and PRRSV-infected PAMs with and without ATRA treatment. It supports research into immunomodulatory mechanisms for controlling viral infections in swine.

Use Cases

• Perform differential gene expression analysis on transcriptomic data to identify pathways upregulated by ATRA treatment in PRRSV-infected PAMs.
• Investigate the relationship between ATRA treatment and the suppression of hyperinflammatory response signatures in infected PAMs.
• Analyze transcriptomic profiles to study the restoration of lipid homeostasis pathways in PAMs following ATRA intervention during PRRSV infection.
• Compare gene expression signatures between uninfected and PRRSV-infected PAMs to quantify viral-induced disruptions reversed by ATRA.

Strengths

• Data is directly linked to a 2026 peer-reviewed study elucidating a dual antiviral mechanism.
• Transcriptomic profiles cover multiple experimental conditions: uninfected, PRRSV-infected, and ATRA-treated PAMs.
• Released under a permissive CC BY 4.0 license for clear reuse.

Limitations

• The dataset is very small at 59.2 KB, indicating limited scope, likely containing summary results rather than raw sequencing reads.
• Sample size and specific row/column counts are unknown, limiting assessment of statistical power for re-analysis.
• Data is derived from controlled in vitro experiments on specific cell lines (MARC-145, PAMs), which may not fully represent in vivo host responses.

Provenance

Source

Jintong Guo, via figshare.

Collection Method

Generated from transcriptomic profiling (RNA-seq) of porcine alveolar macrophages under controlled infection and treatment conditions.

Time Range

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Freshness

Last updated March 2026.

Geography

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