首页> 中文期刊> 《中国科学》 >Single-cell transcriptomic analysis reveals dynamic alternative splicing and gene regulatory networks among pancreatic islets

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

         

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).

著录项

  • 来源
    《中国科学》 |2021年第1期|P.174-176|共3页
  • 作者单位

    Center for Bioinformatics and Computational Biology and Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences School of Life Sciences East China Normal University Shanghai 200241 China;

    Center for Bioinformatics and Computational Biology and Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences School of Life Sciences East China Normal University Shanghai 200241 China;

    Center for Bioinformatics and Computational Biology and Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences School of Life Sciences East China Normal University Shanghai 200241 China;

    Center for Bioinformatics and Computational Biology and Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences School of Life Sciences East China Normal University Shanghai 200241 China;

    Shanghai Skin Disease Hospital Anhui Medical University Shanghai 200443 China;

    Center for Bioinformatics and Computational Biology and Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences School of Life Sciences East China Normal University Shanghai 200241 China;

    Center for Bioinformatics and Computational Biology and Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences School of Life Sciences East China Normal University Shanghai 200241 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 肿瘤学;
  • 关键词

    al.; gained; among;

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