Single-Cell Transcriptomic Atlas of Halo Nevi Versus Normal Nevi

A single-cell RNA sequencing dataset comparing halo nevi and normal nevi, created by Wenxuan Gao and last updated on 2026-05-14. The data provides a transcriptional atlas identifying ten canonical skin cell types and five melanocyte subclusters. It reveals mechanisms of autoimmune melanocyte destruction and highlights pathways shared with vitiligo.

Use Cases

• Identify activated immune cell populations based on the description of CD8+ T cell infiltration.
• Compare gene expression pathways in melanocyte subclusters based on reported upregulation of interferon-stimulated genes and antigen-presenting molecules.
• Analyze metabolic shifts in autoimmune contexts based on the reported increase in oxidative phosphorylation in halo nevi melanocytes.
• Investigate shared pathogenic mechanisms with other autoimmune conditions like vitiligo, as mentioned in the description.

Strengths

• Data is derived from single-cell RNA sequencing, a high-resolution technique for profiling cell states.
• Includes comparative analysis of two biologically distinct conditions: halo nevi and normal nevi.
• Integrated analysis with immunofluorescence staining is mentioned, suggesting multimodal validation.

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 small in size (242.9 KB), indicating a limited scope of observations.

Provenance

Source

figshare, author Wenxuan Gao.

Collection Method

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

Time Range

null

Freshness

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

Geography

null