Single-cell transcriptomic analysis reveals dynamic alternative splicing and gene regulatory networks among pancreatic islets

作     者：Yunjin Li Jiwei Chen Qiyue Xu Zebei Han Fei Tan Tieliu Shi Geng Chen Yunjin Li;Jiwei Chen;Qiyue Xu;Zebei Han;Fei Tan;Tieliu Shi;Geng Chen

作者机构：Center for Bioinformatics and Computational Biologyand Shanghai Key Laboratory of Regulatory BiologyInstitute of Biomedical SciencesSchool of Life SciencesEast China Normal UniversityShanghai200241China Shanghai Skin Disease HospitalAnhui Medical UniversityShanghai200443China 

出 版 物：《Science China(Life Sciences)》 (中国科学（生命科学英文版）)

年 卷 期：2021年第64卷第1期

页      面：174-176页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 071007[理学-遗传学] 

基　　金：supported by the National Natural Science Foundation of China(31771460,31671377) the National Key Research and Development Program of China(2016YFC0902100) 

主　　题：al. gained among 

摘      要：Dear Editor,An increasing number of single-cell RNA-seq(scRNA-seq)studies gained deep insights into the gene expression heterogeneity among individual cells by cell type/state identification(Chen et al.,2019).Alternative splicing(AS)enables genes to generate multiple isoforms through the combination of disparate exons to increase the diversity of transcriptome(Lee and Rio,2015).