CtChi19: Safflower Proteomic and Transcriptomic Data for Fungal Disease Resistance

A 2026 study by Kang Ma identified differentially expressed proteins in safflower (Carthamus tinctorius) following infection by Alternaria alternata and Botrytis cinerea. The dataset includes proteomic data from 48 and 72 hours post-infection and integrated transcriptomic data, focusing on the candidate defense gene CtChi19. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identifying candidate defense-related genes in safflower based on proteomic and transcriptomic data integration.
• Studying the role of chitinase and β-1,3-glucanase activities in plant immune responses against fungal pathogens.
• Screening for hub genes associated with defense responses using weighted gene co-expression network analysis (WGCNA).
• Supporting molecular breeding programs aimed at developing disease-resistant safflower varieties.

Strengths

• Proteomic analysis identified 490 and 921 differentially expressed proteins at 48 and 72 hours post-infection, respectively.
• Data integrates previously published transcriptomic and proteomic data for a multi-omics approach.
• Findings are validated by stable overexpression experiments showing enhanced 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 dataset is small (283.1 KB), indicating limited scope.

Provenance

Source

figshare, author Kang Ma.

Collection Method

Proteomic analysis and integrated transcriptomic data analysis using weighted gene co-expression network analysis (WGCNA).

Time Range

Data corresponds to samples taken at 48 and 72 hours post-infection.

Freshness

Last updated 2026-04-24 05:41:02; freshness should be verified.