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Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes

  • Hongke Peng
  • , Jafar S. Jabbari
  • , Luyi Tian
  • , Changqing Wang
  • , Yupei You
  • , Chong Chyn Chua
  • , Natasha S. Anstee
  • , Noorul Amin
  • , Andrew H. Wei
  • , Nadia M. Davidson
  • , Andrew W. Roberts
  • , David C. S. Huang
  • , Matthew E. Ritchie
  • , Rachel Thijssen*
  • *Corresponding author for this work
  • Walter and Eliza Hall Institute of Medical Research
  • University of Melbourne
  • Monash Health
  • Northern Health
  • Royal Melbourne Hospital
  • Amsterdam UMC
  • Amsterdam UMC

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Single-cell long-read sequencing has transformed our understanding of isoform usage and the mutation heterogeneity between cells. Despite unbiased in-depth analysis, the low sequencing throughput often results in insufficient read coverage, thereby limiting our ability to perform mutation calling for specific genes. Here, we developed a single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) method that demonstrates high specificity and efficiency in capturing targeted transcripts using long-read sequencing, allowing an in-depth analysis of mutation status and transcript usage for genes of interest. The method includes creating a probe panel for transcript capture, using barcoded primers for pooling and efficient sequencing via Oxford Nanopore Technologies platforms. scRaCH-seq is applicable to stored and indexed single-cell cDNA, which allows analysis to be combined with existing short-read RNA-seq data sets. In our investigation of BTK and SF3B1 genes in samples from patients with chronic lymphocytic leukemia (CLL), we detect SF3B1 isoforms and mutations with high sensitivity. Integration with short-read single-cell RNA sequencing (scRNA-seq) data reveals significant gene expression differences in SF3B1-mutated CLL cells, although it does not impact the sensitivity of the anticancer drug venetoclax. scRaCH-seq’s capability to study long-read transcripts of multiple genes makes it a powerful tool for single-cell genomics.
Original languageEnglish
Pages (from-to)942-955
Number of pages14
JournalGenome research
Volume35
Issue number4
DOIs
Publication statusPublished - 1 Apr 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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