Biofilm Disruption and Antibiotic Sensitivity Data for Four Pathogenic Bacteria

Four pathogenic bacteria, including MRSA and Pseudomonas aeruginosa, were studied to determine if rapid mechanical or cationic depletion disruption of biofilms induces a transient, highly antibiotic-sensitive phenotype. The dataset, authored by Joseph Wickham and last updated in April 2026, includes results from antibiotic sensitivity assays and qRT-PCR gene expression analysis. The 945.5 KB document details methods and findings on the 'newly released' (NRel) bacterial state.

Use Cases

• Analyzing the antibiotic sensitivity of biofilm-released bacteria compared to planktonic cells based on comparative plate counts.
• Investigating gene expression patterns associated with the NRel phenotype based on qRT-PCR data.
• Comparing the efficacy of mechanical versus cationic depletion methods for biofilm disruption across multiple bacterial species.
• Modeling the kinetics of transient antibiotic sensitivity in non-typeable Haemophilus influenzae (NTHI).

Strengths

• Focuses on four clinically relevant pathogenic bacteria: NTHI, MRSA, Pseudomonas aeruginosa, and Streptococcus pneumoniae.
• Includes multiple analysis methods: antibiotic sensitivity assays, kinetic plate counts, and qRT-PCR gene expression.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Data is presented in a 945.5 KB DOCX file; the underlying structured data (e.g., column-level data) is not directly accessible.
• Row count and specific data formats for numerical results are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Joseph Wickham via figshare.

Collection Method

Experimental study involving biofilm culture, mechanical/cationic disruption, antibiotic sensitivity testing, and gene expression analysis.

Time Range

Experimental timeframe not specified.

Freshness

Last updated 2026-04-10 05:30:22; freshness should be verified.

Geography

Geographic origin of the study or data not specified.