Unknown

Dataset Information

0

Mapping and modeling the genomic basis of differential RNA isoform expression at single-cell resolution with LR-Split-seq.


ABSTRACT: The rise in throughput and quality of long-read sequencing should allow unambiguous identification of full-length transcript isoforms. However, its application to single-cell RNA-seq has been limited by throughput and expense. Here we develop and characterize long-read Split-seq (LR-Split-seq), which uses combinatorial barcoding to sequence single cells with long reads. Applied to the C2C12 myogenic system, LR-split-seq associates isoforms to cell types with relative economy and design flexibility. We find widespread evidence of changing isoform expression during differentiation including alternative transcription start sites (TSS) and/or alternative internal exon usage. LR-Split-seq provides an affordable method for identifying cluster-specific isoforms in single cells.

SUBMITTER: Rebboah E 

PROVIDER: S-EPMC8495978 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

2021-03-12 | GSE168776 | GEO
| PRJNA713904 | ENA
| S-EPMC3188795 | biostudies-literature
| S-EPMC9109925 | biostudies-literature
| S-EPMC5935499 | biostudies-literature
| S-EPMC5860359 | biostudies-literature
| S-EPMC6426083 | biostudies-literature
| S-EPMC3738160 | biostudies-literature
| S-EPMC4195885 | biostudies-literature
| S-EPMC3869392 | biostudies-literature