Data Sheet 1_CtChi19: Proteomic and Transcriptomic Data for Safflower Disease Resistance

490 and 921 differentially expressed proteins were identified in safflower at 48 and 72 hours post-infection with Alternaria alternata, respectively. The dataset, authored by Kang Ma and last updated in April 2026, focuses on candidate defense-related genes, particularly the chitinase gene CtChi19. It integrates proteomic data from A. alternata infection with previously published transcriptomic data from Botrytis cinerea infection.

Use Cases

• Identifying candidate defense-related genes in safflower based on proteomic analysis of fungal infection.
• Studying the role of chitinase family genes in plant immunity based on the hub gene CtChi19.
• Cross-referencing proteomic and transcriptomic data for a more complete view of safflower's defense response.
• Screening genetic targets for molecular breeding of disease-resistant safflower varieties based on the identified candidate genes.

Strengths

• Identifies a specific number of differentially expressed proteins (490 at 48 hpi, 921 at 72 hpi).
• Integrates multiple omics data types (proteomics and transcriptomics) for analysis.
• Focuses on a specific, validated hub gene (CtChi19) with demonstrated functional impact on disease resistance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (508.6 KB), indicating a limited scope focused on specific analysis results.

Provenance

Source

figshare, author Kang Ma.

Collection Method

Proteomic analysis of infected safflower plants and integration with prior transcriptomic data using weighted gene co-expression network analysis (WGCNA).

Freshness

Last updated 2026-04-24 05:41:01; freshness should be verified.