PanCan-scEditome

Pan-Cancer single-Cell Editome Database

Welcome to PanCan-scEditome, an interactive analysis platform and database dedicated to the single-cell and long-read RNA editing landscape across human cancers.

PanCan-scEditome integrates long-read sequencing and single-cell RNA sequencing to provide a high-resolution, pan-cancer atlas of RNA editing events. By leveraging the unique structural properties of long-read data, we perform de novo identification of editing sites without requiring matched genomic DNA, and project these profiles across large cell populations. Through a standardized analytical framework, users can easily browse, search, and perform customized analyses.

Cancer Type Overview

Data Overview

36 Cancer Types

30 Cell Types

1,047 Total Samples

scSR

679 Samples

scLR

18 Samples

bulk LR

350 Samples

3,002,257 Cells

654,144 RNA Editing Sites

Analysis Tools

Landscape

Visualize cell-level RNA editing profiles, including SNV and editing load across diverse cancer types

Single-Cell RNA Editing Landscape

Pairwise

Directly compare RNA editing patterns and site distribution between two selected samples

Pairwise Sample Comparison

Enzymes

Examine the expression of editing enzymes and their correlation with RNA editing activity

Editing Enzymes & Activity Correlation

Differential

Identify editing sites specific to certain cell types or conditions through enrichment analysis

Specific / Differential Editing

Novel Sites

Explore high-confidence, de novo identified RNA editing sites mapped across cancer datasets

Novel Editing Sites

Structure

Analyze potential RNA structural perturbations induced by identified editing events

RNA Structure Predictor