Data Sheet 12_CtChi19: Proteomic and Transcriptomic Data for Safflower Disease Resistance

Data Sheet 12_CtChi19 contains proteomic and transcriptomic data from a study on safflower (Carthamus tinctorius) resistance to fungal pathogens. The dataset, authored by Kang Ma and last updated in April 2026, identifies 490 and 921 differentially expressed proteins at 48 and 72 hours post-infection with Alternaria alternata, respectively. It focuses on the hub gene CtChi19, a chitinase linked to enhanced resistance against Botrytis cinerea and A. alternata.

Use Cases

• Identify candidate defense-related genes in safflower based on proteomic data from fungal infection.
• Validate gene co-expression networks for disease resistance using integrated transcriptomic and proteomic data.
• Study the role of chitinase (GH19 family) enzymes in plant immune responses based on the characterization of CtChi19.
• Support molecular breeding programs for disease-resistant safflower varieties using the provided genetic resources.

Strengths

• Includes specific counts of differentially expressed proteins (490 at 48 hpi, 921 at 72 hpi).
• Integrates multiple omics data types (proteomic and transcriptomic) for a more complete analysis.
• Focuses on a functionally validated hub gene (CtChi19) with demonstrated impact on disease resistance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 554.8 KB DOCX document, which may not be a standard structured data format for direct analysis.

Provenance

Source

Kang Ma via figshare

Collection Method

Proteomic analysis of safflower infected with Alternaria alternata, integrated with prior transcriptomic data from Botrytis cinerea infection, analyzed using weighted gene co-expression network analysis (WGCNA).

Freshness

Last updated 2026-04-24 05:41:06; freshness should be verified.