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

A 10.8 KB Excel file presents validation and application data for the SLST-Seq method, a culture-independent approach for strain-level profiling of Cutibacterium acnes. The data, authored by Elody Orcel and last updated in May 2026, was generated from low-input skin-strip samples from healthy volunteers. It demonstrates method performance through single-isolate controls, genomic DNA mixtures, and spike-in dilution series.

Use Cases

• Validate strain-level profiling accuracy based on the described single-isolate controls and genomic mixtures.
• Assess quantitative performance across target-to-background DNA ratios using the described spike-in dilution series.
• Study inter-individual variability in skin microbiome composition based on the SLST profiles from healthy volunteers.
• Evaluate run-to-run reproducibility for a sequencing-based typing method based on the run-specific controls mentioned.

Strengths

• Method validation includes single-isolate controls, defined genomic DNA mixtures, and spike-in dilution series.
• The approach is described as enabling strain-level profiling from low-input skin-strip samples.
• Data is published under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 10.8 KB file size indicates a very limited data scope, likely containing summary or method validation results rather than extensive sample profiles.

Provenance

Source

figshare

Collection Method

Culture-independent SLST-Seq method combining unique molecular identifier barcoding with de novo assembly.

Freshness

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