Single-Cell miRNA Editing Profiles Across Five Cell Types

448 single-cell small RNA sequencing profiles from 5 different cell types characterize miRNA editing and mutation patterns. The data was analyzed by Chunyi Mao and published on figshare in April 2026. PCA and clustering based on editing levels distinguished cell types, revealing cell-type-specific patterns.

Use Cases

• Identify cell-type-specific miRNA editing sites based on the described editing level patterns.
• Investigate the role of specific editing sites, like hsa-mir-376c 48 A g, in glioblastoma progression.
• Analyze variability of miRNA editing levels within a single cell type across different cells.
• Study the potential role of enzymes (TENT4A, TENT5A, etc.) in non-templated nucleotide additions in leukemia cells.

Strengths

• Dataset size is 865.9 KB, indicating a focused and manageable download.
• Analysis includes 448 single-cell profiles, providing a multi-cell perspective.
• Specific findings, such as the A-to-I editing site in hsa-mir-376c, are highlighted.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is presented in PDF format, which may require extraction for computational analysis.

Provenance

Source

figshare

Collection Method

Analysis of single-cell small RNA sequencing data.

Freshness

Last updated 2026-04-09 05:15:11; freshness should be verified.