Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes
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 <i>BTK</i> and <i>SF3B1</i> genes in samples from patients with chronic lymphocytic leukemia (CLL), we detect <i>SF3B1</i> isoforms and mutations with high sensitivity. Integration with short-read single-cell RNA sequencing (scRNA-seq) data reveals significant gene expression differences in <i>SF3B1</i>-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.
Authors
- Andrew H. Wei (ORCID: https://orcid.org/0000-0002-7514-3298)
- N. Davidson (ORCID: https://orcid.org/0000-0002-8461-7467)
- Noorul Amin (ORCID: https://orcid.org/0000-0001-7747-7956)
- Matthew E. Ritchie (ORCID: https://orcid.org/0000-0002-7383-0609)
- Andrew W. Roberts (ORCID: https://orcid.org/0000-0002-7341-5720)
- David C.S. Huang (ORCID: https://orcid.org/0000-0002-3101-4873)
- Chong Chyn Chua (ORCID: https://orcid.org/0000-0002-2162-3288)
- Hongke Peng (ORCID: https://orcid.org/0000-0003-4813-0827)
- Natasha S. Anstee (ORCID: https://orcid.org/0000-0003-2093-1403)
- Jafar S. Jabbari (ORCID: https://orcid.org/0000-0002-6302-4857)
- Luyi Tian (ORCID: https://orcid.org/0000-0003-3420-3685)
- Yupei You (ORCID: https://orcid.org/0000-0001-7302-3033)
- Changqing Wang (ORCID: https://orcid.org/0000-0001-7868-3882)
- Rachel Thijssen (ORCID: https://orcid.org/0000-0002-4493-306X)
Institutions
- The Royal Melbourne Hospital (AU)
- The University of Melbourne (AU)
- Northern Health (AU)
- Walter and Eliza Hall Institute of Medical Research (AU)
- Dutch Cancer Society (NL)
- Peter MacCallum Cancer Centre (AU)
- Amsterdam Neuroscience (NL)
- Monash Health (AU)
- Amsterdam University Medical Centers (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- Genome Research
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1101/gr.279322.124
- Citations
- 6
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
Funders
- Silicon Valley Community Foundation
- Australian Government
- Amsterdam University Medical Centers
- Medical Research Council
- Australian Research Council
- National Health and Medical Research Council