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Updated: Oct 25, 2025

A Reporter Based Cellular Assay for Monitoring Splicing Efficiency
Published on: September 15, 2021
Specific splice junction detection in single cells with SICILIAN
Roozbeh Dehghannasiri1,2, Julia Eve Olivieri1,3,2, Ana Damljanovic4
1Department of Biochemistry, Stanford University, Stanford, CA, 94305, USA.
Abstract:
Precise splice junction calls are currently unavailable in scRNA-seq pipelines such as the 10x Chromium platform but are critical for understanding single-cell biology. Here, we introduce SICILIAN, a new method that assigns statistical confidence to splice junctions from a spliced aligner to improve precision. SICILIAN is a general method that can be applied to bulk or single-cell data, but has particular utility for single-cell analysis due to that data's unique challenges and opportunities for discovery. SICILIAN's precise splice detection achieves high accuracy on simulated data, improves concordance between matched single-cell and bulk datasets, and increases agreement between biological replicates. SICILIAN detects unannotated splicing in single cells, enabling the discovery of novel splicing regulation through single-cell analysis workflows.
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