Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing

被引:67
|
作者
Jiang, Wei [1 ]
Chen, Liang [1 ]
机构
[1] Univ Southern Calif, Dept Biol Sci, Quantitat & Computat Biol, 1050 Childs Way, Los Angeles, CA 90089 USA
基金
美国国家卫生研究院;
关键词
Alternative splicing; Human disease; Isoform quantification; RNA-Seq; TRANSCRIPTOME-WIDE IDENTIFICATION; RNA-SEQ DATA; SPLICEOSOMAL COMPLEX; INTRON RETENTION; CALCIUM-CHANNEL; BINDING-SITES; 3-DIMENSIONAL STRUCTURE; ISOFORM QUANTIFICATION; FAMILIAL DYSAUTONOMIA; GENE-REGULATION;
D O I
10.1016/j.csbj.2020.12.009
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Alternative splicing contributes to the majority of protein diversity in higher eukaryotes by allowing one gene to generate multiple distinct protein isoforms. It adds another regulation layer of gene expression. Up to 95% of human multi-exon genes undergo alternative splicing to encode proteins with different functions. Moreover, around 15% of human hereditary diseases and cancers are associated with alternative splicing. Regulation of alternative splicing is attributed to a set of delicate machineries interacting with each other in aid of important biological processes such as cell development and differentiation. Given the importance of alternative splicing events, their accurate mapping and quantification are paramount for downstream analysis, especially for associating disease with alternative splicing. However, deriving accurate isoform expression from high-throughput RNA-seq data remains a challenging task. In this mini-review, we aim to illustrate I) mechanisms and regulation of alternative splicing, II) alternative splicing associated human disease, III) computational tools for the quantification of isoforms and alternative splicing from RNA-seq. (C) 2020 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
引用
收藏
页码:183 / 195
页数:13
相关论文
共 50 条
  • [21] Genomics - from Neanderthals to high-throughput sequencing
    Wakefield, Matthew John
    GENOME BIOLOGY, 2006, 7 (08)
  • [22] High-Throughput Quantitative Analysis of the Human Intestinal Microbiota with a Phylogenetic Microarray
    Paliy, Oleg
    Kenche, Harshavardhan
    Abernathy, Frank
    Michail, Sonia
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2009, 75 (11) : 3572 - 3579
  • [23] Whole human exome capture for high-throughput sequencing
    Kim, Dae-Won
    Nam, Seong-Hyeuk
    Kim, Ryong Nam
    Choi, Sang-Haeng
    Park, Hong-Seog
    GENOME, 2010, 53 (07) : 568 - 574
  • [24] HIGH-THROUGHPUT TRANSCRIPTOME SEQUENCING OF HUMAN BRAIN TISSUE
    Farris, S. P.
    Harris, R. A.
    Mayfield, R. D.
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2016, 40 : 294A - 294A
  • [25] From micrograms to picograms:: quantitative PCR reduces the material demands of high-throughput sequencing
    Meyer, Matthias
    Briggs, Adrian W.
    Maricic, Tomislav
    Hoeber, Barbara
    Hoeffner, Barbara Ho
    Krause, Johannes
    Weihmann, Antje
    Paeaebo, Svante
    Hofreiter, Michael
    NUCLEIC ACIDS RESEARCH, 2008, 36 (01)
  • [26] A high-throughput method for the quantitative analysis of auxins
    Barkawi, Lana S.
    Tam, Yuen-Yee
    Tillman, Julie A.
    Normanly, Jennifer
    Cohen, Jerry D.
    NATURE PROTOCOLS, 2010, 5 (10) : 1609 - 1618
  • [27] Quantitative analysis of high-throughput biological data
    Juan, Hsueh-Fen
    Huang, Hsuan-Cheng
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2023, 13 (04)
  • [28] A high-throughput method for the quantitative analysis of auxins
    Lana S Barkawi
    Yuen-Yee Tam
    Julie A Tillman
    Jennifer Normanly
    Jerry D Cohen
    Nature Protocols, 2010, 5 : 1609 - 1618
  • [29] High-throughput quantification of splicing isoforms
    Brosseau, Jean-Philippe
    Lucier, Jean-Francois
    Lapointe, Elvy
    Durand, Mathieu
    Gendron, Daniel
    Gervais-Bird, Julien
    Tremblay, Karine
    Perreault, Jean-Pierre
    Abou Elela, Sherif
    RNA, 2010, 16 (02) : 442 - 449
  • [30] Quantitative DNA methylation analysis - The promise of high-throughput epigenomic diagnostic testing in human neoplastic disease
    Coleman, William B.
    Rivenbark, Ashley G.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2006, 8 (02): : 152 - 156