Table 3: Chicken Fibroblast Multi-Omics Data for Antiviral Response

Over 110 genes were consistently upregulated across three immune stimuli in DF-1 chicken fibroblasts, revealing a core antiviral signature. The dataset integrates RNA-Seq transcriptomics and SILAC-based proteomics, quantifying more than 2,400 proteins to examine post-transcriptional regulation. Author Frederic Sorgeloos published this resource on figshare in 2026.

Use Cases

• Identify conserved antiviral gene signatures based on the core set of over 110 upregulated genes.
• Analyze transcription-translation coupling based on the described correlation between mRNA and protein abundance.
• Study stimulus-specific immune programs based on the distinct responses to interferon, poly(I:C), and Infectious Bursal Disease Virus.
• Investigate post-transcriptional regulation based on proteins with altered expression without corresponding mRNA changes.

Strengths

• Integrates two omics layers, quantifying more than 2,400 proteins.
• Defines a core set of over 110 consistently upregulated antiviral genes.
• Uses three distinct immune stimuli for comparative analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (35.6 KB), indicating a limited scope, likely summary results rather than raw data.

Provenance

Source

figshare

Collection Method

RNA-Seq transcriptomics and SILAC-based quantitative proteomics on DF-1 chicken fibroblasts treated with immune stimuli.

Freshness

Last updated 2026-05-29 04:45:31; freshness should be verified.