Chicken Fibroblast Multi-Omics Data for Innate Immune Response Analysis

Over 110 genes were consistently upregulated across three distinct immune stimuli in DF-1 chicken fibroblasts. The dataset integrates RNA-Seq transcriptomics and SILAC-based quantitative proteomics, quantifying more than 2,400 proteins. Frederic Sorgeloos published this resource on figshare in 2026 to dissect cellular avian immune signaling.

Use Cases

• Identify conserved antiviral gene signatures based on the core set of over 110 upregulated genes.
• Analyze transcription-translation coupling based on the moderate 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: RNA-Seq transcriptomics and SILAC-based quantitative proteomics.
• Quantifies more than 2,400 proteins, revealing asymmetric regulatory patterns.
• Compares responses to three distinct immune stimuli: type I interferon, poly(I:C), and Infectious Bursal Disease Virus.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a specific cell line (DF-1 chicken fibroblasts), which may limit generalizability.

Provenance

Source

figshare

Collection Method

Experimental study employing RNA-Seq and SILAC-based quantitative proteomics on treated DF-1 chicken fibroblasts.

Freshness

Last updated 2026-05-29 04:45:32; freshness should be verified.