Cell-to-cell variability of alternative RNA splicing

被引:72
|
作者
Waks, Zeev [1 ]
Klein, Allon M. [1 ,2 ]
Silver, Pamela A. [1 ,3 ]
机构
[1] Harvard Univ, Sch Med, Dept Syst Biol, Boston, MA 02115 USA
[2] Univ Cambridge, Cavendish Lab, Cambridge CB3 0HE, England
[3] Harvard Univ, Wyss Inst Biol Inspired Engn, Boston, MA 02115 USA
基金
英国工程与自然科学研究理事会;
关键词
alternative splicing; cell-to-cell variability; co-transcriptional splicing; gene expression; STOCHASTIC GENE-EXPRESSION; MESSENGER-RNAS; LIVING CELLS; SINGLE-CELL; DECAY; TRANSPORT; NONSENSE; ELEMENTS; PHOSPHORYLATION; TRANSCRIPTION;
D O I
10.1038/msb.2011.32
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
Heterogeneity in the expression levels of mammalian genes is large even in clonal populations and has phenotypic consequences. Alternative splicing is a fundamental aspect of gene expression, yet its contribution to heterogeneity is unknown. Here, we use single-molecule imaging to characterize the cell-to-cell variability in mRNA isoform ratios for two endogenous genes, CAPRIN1 and MKNK2. We show that isoform variability in non-transformed, diploid cells is remarkably close to the minimum possible given the stochastic nature of individual splicing events, while variability in HeLa cells is considerably higher. Analysis of the potential sources of isoform ratio heterogeneity indicates that a difference in the control over splicing factor activity is one origin of this increase. Our imaging approach also visualizes non-alternatively spliced mRNA and active transcription sites, and yields spatial information regarding the relationship between splicing and transcription. Together, our work demonstrates that mammalian cells minimize fluctuations in mRNA isoform ratios by tightly regulating the splicing machinery. Molecular Systems Biology 7: 506; published online 5 July 2011; doi:10.1038/msb.2011.32
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Is Cell-to-Cell Scale Variability Necessary in Reservoir Models?
    Osman, Hossam
    Graham, Gavin H.
    Moncorge, Arthur
    Jacquemyn, Carl
    Jackson, Matthew D.
    MATHEMATICAL GEOSCIENCES, 2021, 53 (04) : 571 - 596
  • [22] Cell-to-cell variability in the differentiation program of human megakaryocytes
    Den Dekker, E
    van Abel, M
    van der Vuurst, H
    van Eys, GJJM
    Akkerman, JWN
    Heemskerk, JWM
    BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH, 2003, 1643 (1-3): : 85 - 94
  • [23] Cell-to-Cell Transcript Variability: Seeing Signal in the Noise
    Janes, Kevin A.
    CELL, 2015, 163 (07) : 1566 - 1568
  • [24] Regulation of cell-to-cell variability in divergent gene expression
    Chao Yan
    Shuyang Wu
    Christopher Pocetti
    Lu Bai
    Nature Communications, 7
  • [25] Regulation of cell-to-cell variability in divergent gene expression
    Yan, Chao
    Wu, Shuyang
    Pocetti, Christopher
    Bai, Lu
    NATURE COMMUNICATIONS, 2016, 7
  • [26] Influence of cell-to-cell variability on spatial pattern formation
    Greese, B.
    Wester, K.
    Bensch, R.
    Ronneberger, O.
    Timmer, J.
    Huelskamp, M.
    Fleck, C.
    IET SYSTEMS BIOLOGY, 2012, 6 (04) : 143 - 153
  • [27] Determinants of Cell-to-Cell Variability in Protein Kinase Signaling
    Jeschke, Matthias
    Baumgaertner, Stephan
    Legewie, Stefan
    PLOS COMPUTATIONAL BIOLOGY, 2013, 9 (12)
  • [28] Is Cell-to-Cell Scale Variability Necessary in Reservoir Models?
    Hossam Osman
    Gavin H. Graham
    Arthur Moncorge
    Carl Jacquemyn
    Matthew D. Jackson
    Mathematical Geosciences, 2021, 53 : 571 - 596
  • [29] Cell-to-Cell Variability in Deformations Across Compressed Myoblasts
    Slomka, Noa
    Gefen, Amit
    JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 2011, 133 (08):
  • [30] Exploiting Cell-To-Cell Variability To Detect Cellular Perturbations
    Dey, Gautam
    Gupta, Gagan D.
    Ramalingam, Balaji
    Sathe, Mugdha
    Mayor, Satyajit
    Thattai, Mukund
    PLOS ONE, 2014, 9 (03):