Systematic benchmarking of commercial workflows for isoform-resolved single-nucleus transcriptomics
Short-read sequencing-based single-cell transcriptomics represents the current gold standard for studying cellular transcriptomes but remains limited in its ability to resolve full-length transcript isoforms and splicing patterns. Long-read single-cell and single-nucleus RNA sequencing (LR sc/snRNA-seq) enables the transcriptome-wide characterization of full-length isoforms at cellular…
Using standardized multi-species nuclei and Oxford Nanopore Technologies long-read sequencing, researchers conducted a systematic comparison of four long-read single-nucleus RNA sequencing (LR snRNA-seq) methods: 10x Genomics 3, 10x Genomics 5, ArgenTag, and Parse Biosciences. The study aimed to evaluate the performance of these commercially available workflows for isoform-resolved single-nucleus transcriptomics.
The researchers examined the methods qualitatively and quantitatively, comparing factors such as read length and yield, transcript coverage, isoform detection, and the ability to recover sample-specific biological information. They found significant differences in performance among the methods, with some demonstrating better results than others.
The results showed that the 10x Genomics 3 and 5 assays emerged as the most balanced approaches for comprehensive isoform-resolved single-nucleus transcriptomics. These findings provide valuable insights into the trade-offs associated with distinct library preparation strategies in LR snRNA-seq. The study offers practical guidance for future research in single-nucleus transcriptome studies, helping researchers make informed decisions when selecting an appropriate method for their specific needs.
Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
