Single-Cell Transcriptomic Profiling of Halo Nevi Versus Normal Nevi

Single-cell RNA sequencing data from halo nevi and normal nevi, identifying ten canonical skin cell types and five melanocyte subclusters. The dataset, authored by Wenxuan Gao and last updated in May 2026, reveals activated CD8+ T cell infiltration and melanocyte-intrinsic interferon responses in the autoimmune condition. It provides a transcriptional atlas for studying melanocytic autoimmunity.

Use Cases

• Identify activated immune cell populations based on the described CD8+ T cell infiltration.
• Compare gene expression pathways between disease and control states based on the described interferon-driven and oxidative phosphorylation pathways.
• Analyze melanocyte subcluster heterogeneity based on the five identified subclusters with distinct antigen-presentation profiles.
• Investigate shared pathogenic mechanisms with other disorders like vitiligo based on the description.

Strengths

• Data is integrated with immunofluorescence staining, providing a multi-modal validation.
• Analysis identifies ten distinct skin cell types and five melanocyte subclusters, offering granular cell-type resolution.
• The dataset is focused on a specific autoimmune comparison (halo nevi vs. normal nevi), providing a clear biological contrast.

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 (38.1 KB), indicating limited scope, likely containing processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

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

Time Range

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Freshness

Last updated 2026-05-14 08:46:12; freshness should be verified.

Geography

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