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

9.7 KB of data from a study validating the SLST-Seq method for strain-level profiling of Cutibacterium acnes from skin samples. The dataset, authored by Elody Orcel and last updated on 2026-05-20, likely contains results from method validation using single-isolate controls, genomic DNA mixtures, and spike-in dilution series. The data supports analysis of C. acnes population structure from low-input skin-strip samples collected from healthy volunteers.

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 described results from healthy volunteers.
• Assess quantitative accuracy of sequencing methods across target-to-background DNA ratios based on the described spike-in dilution series.
• Study the conservation of donor-specific community structures across different skin sites based on the described face and back skin samples.

Strengths

• Method validation includes single-isolate controls, defined genomic DNA mixtures, and spike-in dilution series, as described.
• The dataset is associated with a method demonstrating high specificity, quantitative accuracy, and strong run-to-run reproducibility, as per the description.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Culture-independent SLST-Seq method combining unique molecular identifier barcoding with de novo assembly, applied to skin-strip samples.

Freshness

Last updated 2026-05-20 10:46:11; freshness should be verified.