Optimizing Single-Cell Long-Read Sequencing for Enhanced Isoform Detection in Pancreatic Islets [sc_islet]
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ABSTRACT: The goal of this study was to optimize single-cell long-read RNA sequencing in pancreatic islets to enable accurate isoform-level gene expression analysis. We aimed to overcome key technical limitations—including insufficient read lengths, high error rates, and transcript abundance bias—that have hindered long-read sequencing in single cells. Specifically, we compared 5’ and 3’ library preparation strategies and evaluated transcript depletion methods to improve detection of low-abundance isoforms. Our objective was to establish a robust protocol that enhances isoform identification and reveals differential transcript usage across pancreatic islet cell types.
ORGANISM(S): Mus musculus
PROVIDER: GSE295353 | GEO | 2026/01/26
REPOSITORIES: GEO
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