Baicalein Transcriptomics Against Candida Auris Adhesion and Biofilm

This dataset contains transcriptomic sequencing data from a study investigating the antifungal compound baicalein against the multidrug-resistant fungal pathogen Candida auris. The research determined baicalein's minimum inhibitory concentration (MIC) of 1 μg/mL and identified 11 adhesion- and biofilm-associated target genes, including SCF1 and ALS1. The data supports the analysis of molecular mechanisms by which baicalein suppresses virulence factors, adhesion, and biofilm formation.

Use Cases

• Identifying gene expression changes in Candida auris under baicalein treatment based on transcriptomic sequencing.
• Analyzing the regulation of adhesion and biofilm formation through target genes like SCF1 and ALS1.
• Correlating in vitro antifungal activity (MIC, MFC) with transcriptional profiles to understand drug mechanisms.
• Validating in vivo protective efficacy in a Galleria mellonella infection model using associated experimental data.

Strengths

• Dataset is licensed under CC-BY-4.0, permitting broad reuse with attribution.
• The underlying study provides specific, quantitative results, including an MIC of 1 μg/mL and the identification of 11 target genes.
• Data is cross-platform, appearing on figshare, indicating a level of curation and public availability.

Limitations

• Column names and row counts are not provided, limiting immediate understanding of the data structure.
• The dataset is large (approx. 1.5 GB), which may require significant storage and computational resources for analysis.
• Metadata completeness is medium; specific experimental details and file contents within the RAR archive are not described.

Provenance

Source

Can Li

Collection Method

Transcriptomic sequencing of Candida auris isolates treated with the antifungal compound baicalein.

Time Range

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Freshness

2026-03-25

Geography

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