Combined Transcriptomic and Proteomic Analyses of Immune Responses in Chicken Fibroblasts

A multi-omics dataset from a 2026 study by Frederic Sorgeloos, integrating RNA-Seq transcriptomics and SILAC-based quantitative proteomics. It characterizes global gene and protein expression changes in DF-1 chicken fibroblasts treated with three immune stimuli: chicken type I interferon, poly(I:C), and Infectious Bursal Disease Virus. The dataset includes over 110 consistently upregulated genes and quantification of more than 2,400 proteins.

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.
• Examine coordinated cellular suppression based on downregulated mitochondrial metabolism and protein synthesis proteins.

Strengths

• Integrates two complementary omics layers: RNA-Seq transcriptomics and SILAC-based quantitative proteomics.
• Quantifies expression changes for over 110 core genes and more than 2,400 proteins.
• Uses three distinct immune stimuli, enabling comparative analysis of response pathways.

Limitations

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

Provenance

Source

figshare

Collection Method

Experimental study employing RNA-Seq and SILAC-based quantitative proteomics on treated cell cultures.

Freshness

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