Analysis of alternative cleavage and polyadenylation in mature and differentiating neurons using RNA-seq data

被引:26
|
作者
Guvenek, Aysegul [1 ,2 ]
Tian, Bin [1 ,3 ,4 ]
机构
[1] Rutgers New Jersey Med Sch, Dept Microbiol Biochem & Mol Genet, Newark, NJ 07103 USA
[2] Rutgers Sch Grad Studies, Newark, NJ 07103 USA
[3] Rutgers Canc Inst New Jersey, Newark, NJ 07103 USA
[4] Rutgers Brain Hlth Inst, Newark, NJ 07103 USA
关键词
alternative polyadenylation; brain cells; RNA-seq; scRNA-seq;
D O I
10.1007/s40484-018-0148-3
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
BackgroundMost eukaryotic protein-coding genes exhibit alternative cleavage and polyadenylation (APA), resulting in mRNA isoforms with different 3 untranslated regions (3 UTRs). Studies have shown that brain cells tend to express long 3 UTR isoforms using distal cleavage and polyadenylation sites (PASs).MethodsUsing our recently developed, comprehensive PAS database PolyA_DB, we developed an efficient method to examine APA, named Significance Analysis of Alternative Polyadenylation using RNA-seq (SAAP-RS). We applied this method to study APA in brain cells and neurogenesis.ResultsWe found that neurons globally express longer 3 ' UTRs than other cell types in brain, and microglia and endothelial cells express substantially shorter 3 ' UTRs. We show that the 3 ' UTR diversity across brain cells can be corroborated with single cell sequencing data. Further analysis of APA regulation of 3 ' UTRs during differentiation of embryonic stem cells into neurons indicates that a large fraction of the APA events regulated in neurogenesis are similarly modulated in myogenesis, but to a much greater extent.ConclusionTogether, our data delineate APA profiles in different brain cells and indicate that APA regulation in neurogenesis is largely an augmented process taking place in other types of cell differentiation.
引用
收藏
页码:253 / 266
页数:14
相关论文
共 50 条
  • [1] Analysis of alternative cleavage and polyadenylation in mature and differentiating neurons using RNA-seq data
    Aysegul Guvenek
    Bin Tian
    Quantitative Biology, 2018, 6 (03) : 253 - 266
  • [2] APAtizer: a tool for alternative polyadenylation analysis of RNA-Seq data
    Sousa, Bruno
    Bessa, Maria
    de Mendonca, Filipa L.
    Ferreira, Pedro G.
    Moreira, Alexandra
    Pereira-Castro, Isabel
    BIOINFORMATICS, 2024, 40 (11)
  • [3] Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
    Dixit, Gunjan
    Zheng, Ying
    Parker, Brian
    Wen, Jiayu
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2021, (172):
  • [4] Computational analysis of alternative polyadenylation from standard RNA-seq and single-cell RNA-seq data
    Gao, Yipeng
    Li, Wei
    MRNA 3' END PROCESSING AND METABOLISM, 2021, 655 : 225 - 243
  • [5] QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
    Kevin C. H. Ha
    Benjamin J. Blencowe
    Quaid Morris
    Genome Biology, 19
  • [6] QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
    Ha, Kevin C. H.
    Blencowe, Benjamin J.
    Morris, Quaid
    GENOME BIOLOGY, 2018, 19
  • [7] A survey on identification and quantification of alternative polyadenylation sites from RNA-seq data
    Chen, Moliang
    Ji, Guoli
    Fu, Hongjuan
    Lin, Qianmin
    Ye, Congting
    Ye, Wenbin
    Su, Yaru
    Wu, Xiaohui
    BRIEFINGS IN BIOINFORMATICS, 2020, 21 (04) : 1261 - 1276
  • [8] APAtrap: identification and quantification of alternative polyadenylation sites from RNA-seq data
    Ye, Congting
    Long, Yuqi
    Ji, Guoli
    Li, Qingshun Quinn
    Wu, Xiaohui
    BIOINFORMATICS, 2018, 34 (11) : 1841 - 1849
  • [9] scDAPA: detection and visualization of dynamic alternative polyadenylation from single cell RNA-seq data
    Ye, Congting
    Zhou, Qian
    Wu, Xiaohui
    Yu, Chen
    Ji, Guoli
    Saban, Daniel R.
    Li, Qingshun Q.
    BIOINFORMATICS, 2020, 36 (04) : 1262 - 1264
  • [10] mountainClimber Identifies Alternative Transcription Start and Polyadenylation Sites in RNA-Seq
    Cass, Ashley A.
    Xiao, Xinshu
    CELL SYSTEMS, 2019, 9 (04) : 393 - +