Single-Cell Transcriptomic Atlas of Halo Nevi and Normal Nevi

Wenxuan Gao's dataset provides a single-cell RNA sequencing atlas comparing halo nevi and normal nevi skin lesions. The data, shared under a CC-BY-4.0 license on figshare, was last updated in May 2026 and includes transcriptomic profiles for ten canonical skin cell types and five melanocyte subclusters. It reveals immune infiltration and melanocyte-intrinsic pathways involved in autoimmune destruction.

Use Cases

• Identify activated, interferon-responsive CD8+ T cell populations based on scRNA-seq profiles mentioned in the description
• Compare gene expression pathways like oxidative phosphorylation and antigen presentation across melanocyte subclusters
• Analyze upregulated chemokines and interferon-stimulated genes in specific melanocyte clusters
• Investigate pathogenic mechanisms shared with vitiligo as highlighted in the description

Strengths

• Data is integrated with immunofluorescence staining, providing a multi-modal validation approach
• Includes comparative analysis of two distinct biological states: halo nevi versus normal nevi
• Identifies ten canonical skin cell types and five melanocyte subclusters, offering cellular resolution

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 small at 37.3 KB, indicating a limited scope or summary-level data

Provenance

Source

Wenxuan Gao via figshare

Collection Method

Single-cell RNA sequencing (scRNA-seq) performed on clinical skin samples.

Time Range

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Freshness

Last updated 2026-05 14 08:46:13; freshness should be verified

Geography

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