Single-Cell miRNA Editing Patterns Across 5 Cell Types

448 single-cell small RNA sequencing profiles reveal cell-type-specific miRNA editing patterns. An A-to-I editing site in hsa-mir-376c shows significantly higher levels in glioblastoma cells than in naive embryonic stem cells. Chunyi Mao published this dataset on figshare in April 2026.

Use Cases

• Distinguishing cell types based on miRNA editing levels as described in PCA and clustering analysis
• Identifying cell-type-specific miRNA editing sites as demonstrated by the subset of sites with strict patterns
• Investigating miRNA editing variability within a cell type based on distributions of editing levels
• Exploring the role of specific editing sites in disease, such as hsa-mir-376c 48 A g in glioblastoma
• Studying enzymes mediating non-templated nucleotide additions, like TENT4A and TUT1 in leukemia cells

Strengths

• 448 single-cell profiles provide a substantial sample size for analysis
• Data covers 5 distinct cell types, enabling comparative studies
• Analysis identified specific miRNA editing sites with cell-type-specific patterns

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Analysis of single-cell small RNA sequencing profiles

Freshness

Last updated 2026-04-09 05:15:12; freshness should be verified