CtChi19: Safflower Proteomic and Transcriptomic Data for Fungal Disease Resistance

Proteomic analysis of safflower (Carthamus tinctorius) infected by Alternaria alternata identified 490 and 921 differentially expressed proteins at 48 and 72 hours post-infection, respectively. The dataset integrates this with prior transcriptomic data from Botrytis cinerea infection, highlighting the hub gene CtChi19. This work was authored by Kang Ma and shared on figshare in April 2026.

Use Cases

• Identifying candidate defense-related proteins in safflower based on proteomic differential expression.
• Conducting weighted gene co-expression network analysis (WGCNA) based on integrated transcriptomic and proteomic data.
• Studying the role of chitinase and β-1,3-glucanase activities in plant antifungal immunity.
• Screening genetic resources for molecular breeding of disease-resistant safflower varieties.

Strengths

• Includes specific counts of differentially expressed proteins (490 at 48 hpi, 921 at 72 hpi).
• Integrates multiple omics data types (proteomics and transcriptomics) from two fungal pathogens.
• Focuses on a validated hub gene (CtChi19) with demonstrated impact on disease resistance in transgenic plants.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (37.0 KB), indicating limited scope, likely containing summary or analysis results rather than raw sequencing data.

Provenance

Source

figshare, author Kang Ma.

Collection Method

Proteomic analysis post-infection and integration with prior transcriptomic data using WGCNA.

Freshness

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