Elody Orcel published a dataset on 2026-05-20 describing a method for profiling the skin microbiome. The dataset likely contains results from validating a single-locus sequence typing method for Cutibacterium acnes, applied to skin-strip samples from healthy volunteers. It demonstrates the method's specificity, quantitative accuracy, and reproducibility across various control experiments.
Use Cases
- Validate strain-level microbiome profiling methods based on the described SLST-Seq technique.
- Analyze inter-individual variability in skin microbiome composition based on results from healthy volunteers.
- Assess the performance of synthetic long-read sequencing for low-input samples based on the validation controls.
- Study the population structure of Cutibacterium acnes in situ based on the generated SLST profiles.
Strengths
- Method validated with multiple controls including single-isolate controls, genomic DNA mixtures, and spike-in dilution series.
- Demonstrated high specificity, quantitative accuracy, and strong run-to-run reproducibility per the description.
- Applied to real-world skin-strip samples, revealing marked inter-individual variability.
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 (9.4 KB), indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Culture-independent single-locus sequence typing (SLST-Seq) adapted from LUMI-Seq® technology.
- Freshness
- Last updated 2026-05-20 10:46:11; freshness should be verified.