Ultrashort and progressive 4sU-tagging reveals key characteristics of RNA processing at nucleotide resolution

  1. Lars Dölken5,8
  1. 1Institute for Informatics, Ludwig-Maximilians-Universität München, Munich 80333, Germany;
  2. 2Department of Molecular Epigenetics, Helmholtz-Zentrum München, Center of Integrated Protein Science (CIPSM), Munich 81377, Germany;
  3. 3Max von Pettenkofer-Institute, Ludwig-Maximilians-Universität München, Munich 80336, Germany;
  4. 4Gene Center, Ludwig-Maximilians-Universität München, Munich 81377, Germany;
  5. 5Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom;
  6. 6Institute of Clinical Molecular Biology, Christian-Albrechts-Universität Kiel, Kiel 24105, Germany
    1. 7 These authors contributed equally to this work.

    Abstract

    RNA synthesis and decay rates determine the steady-state levels of cellular RNAs. Metabolic tagging of newly transcribed RNA by 4-thiouridine (4sU) can reveal the relative contributions of RNA synthesis and decay rates. The kinetics of RNA processing, however, had so far remained unresolved. Here, we show that ultrashort 4sU-tagging not only provides snapshot pictures of eukaryotic gene expression but, when combined with progressive 4sU-tagging and RNA-seq, reveals global RNA processing kinetics at nucleotide resolution. Using this method, we identified classes of rapidly and slowly spliced/degraded introns. Interestingly, each class of splicing kinetics was characterized by a distinct association with intron length, gene length, and splice site strength. For a large group of introns, we also observed long lasting retention in the primary transcript, but efficient secondary splicing or degradation at later time points. Finally, we show that processing of most, but not all small nucleolar (sno)RNA-containing introns is remarkably inefficient with the majority of introns being spliced and degraded rather than processed into mature snoRNAs. In summary, our study yields unparalleled insights into the kinetics of RNA processing and provides the tools to study molecular mechanisms of RNA processing and their contribution to the regulation of gene expression.

    Footnotes

    • 8 Corresponding authors

      E-mail caroline.friedel{at}bio.ifi.lmu.de

      E-mail ld408{at}medschl.cam.ac.uk

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.131847.111.

    • Received September 10, 2011.
    • Accepted April 24, 2012.

    This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported License), as described at http://creativecommons.org/licenses/by-nc/3.0/.

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