CtChi19: Safflower Proteomic and Transcriptomic Data for Fungal Disease Resistance

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

Use Cases

• Identify candidate defense-related genes in safflower based on proteomic analysis of fungal infection.
• Perform weighted gene co-expression network analysis (WGCNA) based on integrated transcriptomic and proteomic data.
• Study the role of chitinase and β-1,3-glucanase activities in plant immunity based on enzyme activity assays.
• Investigate subcellular localization patterns of defense proteins like CtChi19 based on described assays.

Strengths

• Identifies 490 and 921 differentially expressed proteins at two specific time points post-infection.
• Integrates multiple omics data types (proteomics and transcriptomics) for candidate gene screening.
• Includes experimental validation through subcellular localization and transgenic plant assays.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The dataset is small (140.2 KB), indicating limited scope, likely containing summary or analysis results rather than raw sequencing data.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Proteomic analysis of safflower infected by Alternaria alternata, integrated with prior transcriptomic data from Botrytis cinerea infection.

Freshness

Last updated 2026-04-24 05:41:03; freshness should be verified.