Microbial Contamination Genomes from a Sterile Vaccine Production Line

Qiongqiong Li's dataset, published on figshare in April 2026, contains genomic analysis results from a study of microbial contamination in pharmaceutical cleanrooms. It likely includes data on five dominant opportunistic species, their phylogenetic relationships, and profiles of antibiotic resistance and virulence factors. The dataset is structured as an Excel file with a size of 11.6 KB.

Use Cases

• Reconstruct contamination transmission chains based on SNP-based phylogeny and sampling location metadata.
• Assess microbial risk by profiling the distribution of antibiotic resistance genes (ARGs) and virulence factors (VFs).
• Identify dominant opportunistic species and their genomic signatures for source attribution in cleanrooms.
• Compare the persistence potential of different microbial contaminants under disinfectant pressure.

Strengths

• Data is derived from a targeted genomic investigation integrating whole-genome sequencing (WGS) with routine environmental monitoring.
• The study identified five dominant opportunistic species and reconstructed four plausible contamination chains.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small (11.6 KB), suggesting it contains summary or processed results rather than raw sequence data.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

Qiongqiong Li via figshare.

Collection Method

Whole-genome sequencing applied to microbial isolates from a sterile vaccine production line, combined with environmental monitoring data.

Time Range

The study period is not specified.

Freshness

Last updated 2026-04-15 05:42:17; freshness should be verified.

Geography

The specific geographic location of the production facility is not specified.