An optimized workflow of full-length transcriptome sequencing for accurate fusion transcript identification.

ABSTRACT: Next-generation sequencing has revolutionized cancer genomics by enabling high-throughput mutation screening yet detecting fusion genes reliably remains challenging. Long-read sequencing offers potential for accurate fusion transcript identification, though challenges persist. In this study, we present an optimized workflow using nanopore sequencing technology to precisely identify fusion transcripts. Our approach encompasses a tailored library preparation protocol, data processing, and fusion gene analysis pipeline. We evaluated the performance using Universal Human Reference RNA and human adenocarcinoma cell lines. Our optimized nanopore sequencing workflow generated high-quality full-length transcriptome data characterized by an extended length distribution and comprehensive transcript

SUBMITTER: Zong L 

PROVIDER: S-EPMC11572239 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature