LSEC SHIBA: Differential Splicing Analysis of Liver Sinusoidal Endothelial Cells

60,586 rows of differential splicing results comparing healthy controls (hc) and a specific condition (f0) in liver sinusoidal endothelial cells (LSECs). The dataset was generated by author depinwang using the SHIBA v0.8.2 tool on pseudobulk BAM files from STARsolo v6 alignment. It was last updated on May 11, 2026.

Use Cases

• Identify differentially spliced events between healthy and condition-specific liver endothelial cells based on the hc_vs_f0 comparison.
• Analyze the prevalence of eight alternative-splicing event types (e.g., SE, MXE, RI) across samples.
• Benchmark splicing analysis pipelines using results from the SHIBA tool on strand-aware (XS tag) RNA-seq data.
• Investigate cell-type-specific splicing patterns in liver pseudobulk data generated from single-cell alignments.

Strengths

• Contains 60,586 rows of differential splicing results, providing a substantial number of events for analysis.
• Focuses on eight distinct alternative-splicing event types, allowing for detailed mechanistic investigation.
• Analysis is based on strand-aware (XS tag) RNA-seq data, which improves accuracy for splicing detection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last updated 2026-05-11 12:57:32; freshness should be verified for current research applications.

Provenance

Source

huggingface

Collection Method

Bulk SHIBA v0.8.2 analysis run on LSEC pseudobulk BAMs generated from STARsolo v6 alignment.

Freshness

Last updated 2026-05-11 12:57:32.