Transcriptomics

Dataset Information

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Optimizing Single-Cell Long-Read Sequencing for Enhanced Isoform Detection in Pancreatic Islets [bulk_islet]


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: GSE295351 | GEO | 2026/01/26

REPOSITORIES: GEO

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GSE295351_ins_depletion_countTable_cutadapt_trim.txt.gz Txt
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