Table 2_Combined transcriptomic and proteomic analyses define conserved host signatures du

A multi-omics dataset from a study characterizing global gene and protein expression changes in DF-1 chicken fibroblasts following immune stimulation. The dataset includes results from RNA-Seq transcriptomics and SILAC-based quantitative proteomics after treatment with chicken type I interferon, poly(I:C), and Infectious Bursal Disease Virus. It was authored by Frederic Sorgeloos and last updated on 2026-05-29.

Use Cases

• Identify conserved antiviral gene signatures based on the core set of over 110 upregulated genes mentioned in the description.
• Analyze stimulus-specific transcriptional programs based on the distinct responses to interferon, poly(I:C), and IBDV.
• Study transcription-translation coupling based on the described 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 2,400 proteins and transcriptomic changes.
• Defines a core set of over 110 consistently upregulated genes across three distinct immune stimuli.
• Uses a controlled experimental design with three defined immune perturbations.

Limitations

• Row and column counts are unknown, limiting suitability assessment for specific analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (29.3 KB), indicating it likely contains summary results rather than raw sequencing or spectral data.

Provenance

Source

figshare

Collection Method

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

Freshness

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