DF-1 Chicken Fibroblast Multi-Omics Data for Innate Immune Response

Frederic Sorgeloos published a multi-omics dataset on figshare in 2026, combining RNA-Seq transcriptomics and SILAC-based quantitative proteomics. The data characterizes gene and protein expression changes in DF-1 chicken fibroblasts after stimulation with type I interferon, poly(I:C), and Infectious Bursal Disease Virus. The analysis quantified over 110 consistently upregulated genes and more than 2,400 proteins, revealing post-transcriptional regulatory patterns in the antiviral response.

Use Cases

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

Strengths

• Integrates two omics layers, quantifying over 110 genes and more than 2,400 proteins.
• Uses three distinct immune stimuli to define conserved and stimulus-specific responses.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is provided in a PDF format (2.6 MB), which may require extraction to access underlying tables.

Provenance

Source

figshare

Collection Method

RNA-Seq transcriptomics and SILAC-based quantitative proteomics on stimulated DF-1 chicken fibroblasts.

Freshness

Last updated 2026-05-29 04:45:35; freshness should be verified.