Evaluating the potential and limitations of nanopore adaptive sampling for targeted transcriptome sequencing

评估纳米孔自适应取样在靶向转录组测序中的潜力和局限性

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Abstract

Long-read RNA sequencing is a powerful technology for transcriptomics, but low throughput and high cost pose challenges. Adaptive sampling, a feature of Oxford Nanopore Technologies, offers real-time enrichment by selectively ejecting non-target molecules. We evaluate adaptive sampling for human transcriptome analysis. Adaptive sampling modestly enriches target transcripts (1.3 × for cDNA sequencing, 1.9 × for direct RNA sequencing) while preserving gene expression and splicing profiles, but is significantly less effective than cDNA hybridization capture. Short read lengths and low sequencing quality limit performance. Adaptive sampling on direct RNA sequencing can boost target yield (~ 20%) within fixed run times, potentially aiding time-constrained applications.

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