1. Comprehensive characterization of single-cell full-length isoforms in human and mouse with long-read sequencing
- Author
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Shanika L. Amarasinghe, Mei R. M. Du, Jakob Schuster, Michael B. Clark, Changqing Wang, Yair David Joseph Prawer, Xueyi Dong, Audrey S. M. Chan, Mary Ann Anderson, Casey J. A. Anttila, James G. Ryall, Gordon S. Lynch, Hasaru Kariyawasam, Ian J. Majewski, Jafar S. Jabbari, Christoffer Flensburg, Andrew W. Roberts, Charity W. Law, Shian Su, Luyi Tian, Hongke Peng, Quentin Gouil, Chi Hai Ly, Coralina Collar-Fernández, Timur Naim, Alexis Lucattini, David C.S. Huang, Rachel Thijssen, Oliver Voogd, Matthew E. Ritchie, and Jin D. Chung
- Subjects
Gene isoform ,Cell type ,QH301-705.5 ,RNA Splicing ,Ribosome biogenesis ,Method ,Computational biology ,QH426-470 ,Biology ,Splicing ,Transcriptome ,Mice ,Genetics ,Animals ,Humans ,Protein Isoforms ,RNA, Messenger ,Biology (General) ,Long-read sequencing ,Gene ,Single-cell gene expression ,Single-cell multi-omics ,Gene Expression Profiling ,High-Throughput Nucleotide Sequencing ,Promoter ,Exons ,Alternative Splicing ,Nanopore Sequencing ,RNA splicing ,Human genome - Abstract
A modified Chromium 10x droplet-based protocol that subsamples cells for both short-read and long-read (nanopore) sequencing together with a new computational pipeline (FLAMES) is developed to enable isoform discovery, splicing analysis, and mutation detection in single cells. We identify thousands of unannotated isoforms and find conserved functional modules that are enriched for alternative transcript usage in different cell types and species, including ribosome biogenesis and mRNA splicing. Analysis at the transcript level allows data integration with scATAC-seq on individual promoters, improved correlation with protein expression data, and linked mutations known to confer drug resistance to transcriptome heterogeneity. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-021-02525-6.
- Published
- 2021