Cellular and Molecular Landscape of Early Hidradenitis Suppurativa Lesions

Stephan Caucheteux's research dataset analyzes early-stage Hidradenitis Suppurativa (HS) skin lesions. It uses spatial RNA sequencing and Imaging Mass Cytometry (IMC) on full-thickness skin biopsies from Hurley Stage I-II patients to characterize the early immune microenvironment. The dataset was last updated on April 25, 2026.

Use Cases

• Identify early immune cell phenotypes in skin lesions based on spatial RNA sequencing and IMC data.
• Analyze B cell and plasma cell activation patterns preceding Th17 inflammation in Hidradenitis Suppurativa.
• Characterize ectopic lymphoid structures and T cell aggregation around blood vessels in early disease.
• Investigate immunoglobulin gene expression and plasma cell marker distribution within dermal infiltrates.

Strengths

• Data was generated using two advanced spatial profiling techniques: spatial RNA sequencing and Imaging Mass Cytometry.
• Focus on a specific, understudied disease stage: early papulonodular lesions from Hurley Stage I-II patients.
• Analysis identified distinct immune phenotypes including B cells, T cells, macrophages, plasma cells, and neutrophils.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment for large-scale ML tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific patient cohort and biopsy collection method described.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Full-thickness skin biopsies analyzed via spatial RNA sequencing and Imaging Mass Cytometry.

Time Range

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Freshness

Last updated 2026-04-25 04:13:24; freshness should be verified.

Geography

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