Data Sheet 10_CtChi19: Safflower Proteomic and Transcriptomic Data for Disease Resistance

Kang Ma published a dataset on 2026-04-24 containing proteomic and transcriptomic data from safflower (Carthamus tinctorius) infected by fungal pathogens. The data includes 490 and 921 differentially expressed proteins identified at 48 and 72 hours post-infection with Alternaria alternata, and integrated transcriptomic data from Botrytis cinerea infection. The study focuses on the candidate defense gene CtChi19, a chitinase, and its role in enhancing plant resistance.

Use Cases

• Identify candidate defense-related proteins in safflower based on the lists of differentially expressed proteins.
• Perform weighted gene co-expression network analysis (WGCNA) based on the integrated transcriptomic and proteomic data.
• Study the function of chitinase family 19 (GH19) genes in plant immunity based on the hub gene CtChi19.
• Correlate chitinase and β-1,3-glucanase enzyme activities with disease resistance phenotypes in transgenic plants.

Strengths

• Includes specific counts of differentially expressed proteins (490 at 48 hpi, 921 at 72 hpi).
• Integrates multiple omics data types (proteomic and transcriptomic) from two fungal pathogens.
• Data is associated with published functional validation showing overexpression of CtChi19 enhanced resistance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 13.7 KB file size suggests a very limited scope, likely containing summary results rather than raw sequencing data.

Provenance

Source

Kang Ma via figshare

Collection Method

Proteomic analysis of safflower infected by Alternaria alternata and integration of prior transcriptomic data from Botrytis cinerea infection.

Freshness

Last updated 2026-04-24 05:40:58; freshness should be verified.