Single cell RNA-profiling in tandem with short-read sequencing (SR-scRNA-seq) has revolutionized the field of transcriptomics, permitting a highly granular view on cellular blood and tissue composition and the construction of human cell atlases. However, discrimination between various transcript isoforms remains challenging. Here we developed single cell long-read isoform sequencing (scLIS-seq), a scRNA-seq workflow based on Smart-seq3xpress (SS3X) cDNA generation and Oxford Nanopore Technologies PromethION sequencing. Using scLIS-seq, we profiled the long-read transcriptomes of Jurkat and HEK293T cells and compared its performance to SS3X starting from the identical cDNA. This dataset refers to the raw and processed data of the Smart-seq3xpress and scLIS-seq experiments of the Jurkat and HEK293T cells.
山东省济南市章丘区文博路2号
齐鲁师范学院 genelibs生信实验室
山东省济南市高新区舜华路750号
大学科技园北区F座4单元2楼
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