<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing</dc:title><dc:creator>Shi, Zhuo-Xing; Chen, Zhi-Chao; Zhong, Jia-Yong; Hu, Kun-Hua; Zheng, Ying-Feng; Chen, Ying; Xie, Shang-Qian; Bo, Xiao-Chen; Luo, Feng; Tang, Chong; Xiao, Chuan-Le; Liu, Yi-Zhi</dc:creator><dc:corporate_author/><dc:editor/><dc:description>Abstract            Although long-read single-cell RNA isoform sequencing (scISO-Seq) can reveal alternative RNA splicing in individual cells, it suffers from a low read throughput. Here, we introduce HIT-scISOseq, a method that removes most artifact cDNAs and concatenates multiple cDNAs for PacBio circular consensus sequencing (CCS) to achieve high-throughput and high-accuracy single-cell RNA isoform sequencing. HIT-scISOseq can yield &gt;10 million high-accuracy long-reads in a single PacBio Sequel II SMRT Cell 8M. We also report the development of scISA-Tools that demultiplex HIT-scISOseq concatenated reads into single-cell cDNA reads with &gt;99.99% accuracy and specificity. We apply HIT-scISOseq to characterize the transcriptomes of 3375 corneal limbus cells and reveal cell-type-specific isoform expression in them. HIT-scISOseq is a high-throughput, high-accuracy, technically accessible method and it can accelerate the burgeoning field of long-read single-cell transcriptomics.</dc:description><dc:publisher/><dc:date>2023-12-01</dc:date><dc:nsf_par_id>10416832</dc:nsf_par_id><dc:journal_name>Nature Communications</dc:journal_name><dc:journal_volume>14</dc:journal_volume><dc:journal_issue>1</dc:journal_issue><dc:page_range_or_elocation/><dc:issn>2041-1723</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1038/s41467-023-38324-9</dc:doi><dcq:identifierAwardId>1759856; 2025541</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>