CtChi19: Safflower Proteomic and Transcriptomic Data for Fungal Disease Resistance

Proteomic analysis of safflower infected by Alternaria alternata identified 490 and 921 differentially expressed proteins at 48 and 72 hours post-infection, respectively. The dataset, created by Kang Ma and shared on figshare, focuses on the hub gene CtChi19, a chitinase linked to enhanced resistance against Botrytis cinerea and A. alternata. It integrates proteomic and transcriptomic data to provide candidate genes for molecular breeding of disease-resistant safflower varieties.

Use Cases

• Identify candidate defense-related proteins in safflower based on proteomic analysis of fungal infection.
• Validate hub gene functions for disease resistance using integrated transcriptomic and proteomic data.
• Screen genetic markers for molecular breeding programs based on the set of candidate defense genes.
• Study the role of chitinase and β-1,3-glucanase activities in plant antifungal immunity.

Strengths

• Includes specific counts of differentially expressed proteins (490 at 48 hpi, 921 at 72 hpi).
• Focuses on a validated hub gene (CtChi19) with demonstrated impact on disease resistance in transgenic plants.
• Integrates multiple omics data types (proteomic and transcriptomic) for cross-validation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 96.9 KB file size suggests a limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Proteomic analysis post-infection and weighted gene co-expression network analysis (WGCNA) on integrated omics data.

Freshness

Last updated 2026-04-24 05:41:04; freshness should be verified.