Single cell gene fusion detection by scFusion
preprint
OA: closed
Abstract
Gene fusions are widespread in tumor cells and can play important roles in tumor initiation and progression. Using full length single cell RNA sequencing (scRNA-seq), gene fusions can now be detected at single cell level. However, scRNA-seq data has a high noise level and contains various technical artefacts that can lead to spurous fusion discoveries. Here we present a computational tool, scFusion, for gene fusion detection based on scRNA-seq. scFusion can efficiently and sensitively detect fusions with a low false discovery rate. In a T cell data, scFusion detected the invariant TCR gene recombinations in Mucosal-associated invariant T cells that many methods developed for bulk-data failed to detect. In a multiple myeloma data, scFusion detected the known recurrent fusion IgH-WHSC1 , which was associated with overexpression of the WHSC1 oncogene.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00