SLST-Seq: Strain-Level Typing Data for Cutibacterium acnes from Skin Samples

SLST-Seq is a culture-independent method for strain-level profiling of the skin bacterium Cutibacterium acnes from low-input skin-strip samples. The dataset likely contains results from method validation using single-isolate controls, genomic DNA mixtures, and spike-in dilution series, demonstrating high specificity and quantitative accuracy. The data was authored by Elody Orcel and published on figshare in May 2026.

Use Cases

• Validate strain-level profiling methods based on the described SLST-Seq approach
• Analyze inter-individual variability in skin microbiome composition based on the reported donor-specific community structures
• Study the quantitative accuracy of microbial typing across target-to-background DNA ratios based on the spike-in dilution series validation
• Investigate the conservation of microbial community structures between different skin sites based on the face and back skin comparisons

Strengths

• Method validated with specific controls including single-isolate controls, defined genomic DNA mixtures, and spike-in dilution series
• Demonstrated high specificity, quantitative accuracy, and strong run-to-run reproducibility according to the description
• Applied to real skin-strip samples from healthy volunteers, generating robust SLST profiles

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 very small (9.6 KB), indicating limited scope or summary-level data

Provenance

Source

figshare

Collection Method

Culture-independent single-locus sequence typing (SLST) adapted with LUMI-Seq synthetic long-read sequencing technology

Freshness

Last updated 2026-05-20 10:46:13; freshness should be verified