Mapping and modeling the genomic basis of differential RNA isoform expression at single-cell resolution with LR-Split-seq.
Mapping and modeling the genomic basis of differential RNA isoform expression at single-cell resolution with LR-Split-seq.
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利用LR - Split - seq在单细胞分辨率下对差异RNA异构体表达的基因组基础进行定位和建模
DOI:
10.1186/s13059-021-02505-w
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发表时间:
2021-10-07
期刊:
影响因子:
12.3
通讯作者:
Mortazavi A
中科院分区:
文献类型:
--
作者:
Rebboah E;Reese F;Williams K;Balderrama-Gutierrez G;McGill C;Trout D;Rodriguez I;Liang H;Wold BJ;Mortazavi A
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. The online version contains supplementary material available at 10.1186/s13059-021-02505-w.
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