Abstract
Co-translational mRNA degradation is a widespread process in which 5′–3′ exonucleolytic degradation follows the last translating ribosome, thus producing an in vivo ribosomal footprint that delimits the 5′ position of the mRNA molecule within the ribosome. To study this degradation process and ribosome dynamics, we developed 5PSeq, which is a method that profiles the genome-wide abundance of mRNA degradation intermediates by virtue of their 5′-phosphorylated (5′P) ends. The approach involves targeted ligation of an oligonucleotide to the 5′P end of mRNA degradation intermediates, followed by depletion of rRNA molecules, reverse transcription of 5′P mRNAs and Illumina high-throughput sequencing. 5PSeq can identify translational pauses at rare codons that are often masked when using alternative methods. This approach can be applied to previously extracted RNA samples, and it is straightforward and does not require polyribosome purification or in vitro RNA footprinting. The protocol we describe here can be applied to Saccharomyces cerevisiae and potentially to other eukaryotic organisms. Three days are required to generate 5PSeq libraries.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Roy, B. & Jacobson, A. The intimate relationships of mRNA decay and translation. Trends Genet. 29, 691–699 (2013).
Parker, R. RNA degradation in Saccharomyces cerevisae. Genetics 191, 671–702 (2012).
Hu, W., Sweet, T.J., Chamnongpol, S., Baker, K.E. & Coller, J. Co-translational mRNA decay in Saccharomyces cerevisiae. Nature 461, 225–229 (2009).
Pelechano, V., Wei, W. & Steinmetz, L.M. Widespread co-translational RNA decay reveals ribosome dynamics. Cell 161, 1400–1412 (2015).
Pelechano, V., Wei, W., Jakob, P. & Steinmetz, L.M. Genome-wide identification of transcript start and end sites by transcript isoform sequencing. Nat. Protoc. 9, 1740–1759 (2014).
Pelechano, V., Wei, W. & Steinmetz, L.M. Extensive transcriptional heterogeneity revealed by isoform profiling. Nature 497, 127–131 (2013).
Wilkening, S. et al. An efficient method for genome-wide polyadenylation site mapping and RNA quantification. Nucleic Acids Res. 41, e65 (2013).
Addo-Quaye, C., Eshoo, T.W., Bartel, D.P. & Axtell, M.J. Endogenous siRNA and miRNA targets identified by sequencing of the Arabidopsis degradome. Curr. Biol. 18, 758–762 (2008).
German, M.A. et al. Global identification of microRNA-target RNA pairs by parallel analysis of RNA ends. Nat. Biotechnol. 26, 941–946 (2008).
Gregory, B.D. et al. A link between RNA metabolism and silencing affecting Arabidopsis development. Dev. Cell 14, 854–866 (2008).
Harigaya, Y. & Parker, R. Global analysis of mRNA decay intermediates in Saccharomyces cerevisiae. Proc. Natl. Acad. Sci. USA 109, 11764–11769 (2012).
Lykke-Andersen, S. et al. Human nonsense-mediated RNA decay initiates widely by endonucleolysis and targets snoRNA host genes. Genes Dev. 28, 2498–2517 (2014).
Willmann, M.R., Berkowitz, N.D. & Gregory, B.D. Improved genome-wide mapping of uncapped and cleaved transcripts in eukaryotes—GMUCT 2.0. Methods 67, 64–73 (2014).
Ingolia, N.T., Brar, G.A., Rouskin, S., McGeachy, A.M. & Weissman, J.S. The ribosome profiling strategy for monitoring translation in vivoby deep sequencing of ribosome-protected mRNA fragments. Nat. Protoc. 7, 1534–1550 (2012).
Wallace, E.W. & Drummond, D.A. Dying mRNA tells a story of its life. Cell 161, 1246–1248 (2015).
Kivioja, T. et al. Counting absolute numbers of molecules using unique molecular identifiers. Nat. Methods 9, 72–74 (2012).
Konig, J. et al. iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution. Nat. Struct. Mol. Biol. 17, 909–915 (2010).
Pelechano, V., Wilkening, S., Jarvelin, A.I., Tekkedil, M.M. & Steinmetz, L.M. Genome-wide polyadenylation site mapping. Methods Enzymol. 513, 271–296 (2012).
Sun, M. et al. Comparative dynamic transcriptome analysis (cDTA) reveals mutual feedback between mRNA synthesis and degradation. Genome Res. 22, 1350–1359 (2012).
Ingolia, N.T., Ghaemmaghami, S., Newman, J.R. & Weissman, J.S. Genome-wide analysis in vivoof translation with nucleotide resolution using ribosome profiling. Science 324, 218–223 (2009).
Brar, G.A. et al. High-resolution view of the yeast meiotic program revealed by ribosome profiling. Science 335, 552–557 (2012).
Ingolia, N.T., Lareau, L.F. & Weissman, J.S. Ribosome profiling of mouse embryonic stem cells reveals the complexity and dynamics of mammalian proteomes. Cell 147, 789–802 (2011).
Li, G.W., Oh, E. & Weissman, J.S. The anti-Shine-Dalgarno sequence drives translational pausing and codon choice in bacteria. Nature 484, 538–541 (2012).
Bazzini, A.A. et al. Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation. EMBO J. 33, 981–993 (2014).
Dunn, J.G., Foo, C.K., Belletier, N.G., Gavis, E.R. & Weissman, J.S. Ribosome profiling reveals pervasive and regulated stop codon readthrough in Drosophila melanogaster. Elife 2, e01179 (2013).
Stadler, M., Artiles, K., Pak, J. & Fire, A. Contributions of mRNA abundance, ribosome loading, and post- or peri-translational effects to temporal repression of C. elegans heterochronic miRNA targets. Genome Res. 22, 2418–2426 (2012).
Gerashchenko, M.V. & Gladyshev, V.N. Translation inhibitors cause abnormalities in ribosome profiling experiments. Nucleic Acids Res. 42, e134 (2014).
Guydosh, N.R. & Green, R. Dom34 rescues ribosomes in 3′ untranslated regions. Cell 156, 950–962 (2014).
Lareau, L.F., Hite, D.H., Hogan, G.J. & Brown, P.O. Distinct stages of the translation elongation cycle revealed by sequencing ribosome-protected mRNA fragments. Elife 3, e01257 (2014).
German, M.A., Luo, S., Schroth, G., Meyers, B.C. & Green, P.J. Construction of parallel analysis of RNA ends (PARE) libraries for the study of cleaved miRNA targets and the RNA degradome. Nat. Protoc. 4, 356–362 (2009).
Maruyama, K. & Sugano, S. Oligo-capping: a simple method to replace the cap structure of eukaryotic mRNAs with oligoribonucleotides. Gene 138, 171–174 (1994).
Scotto-Lavino, E., Du, G. & Frohman, M.A. Amplification of 5′-end cDNA with 'new RACE′. Nat. Protoc. 1, 3056–3061 (2006).
Shenton, D. et al. Global translational responses to oxidative stress impact upon multiple levels of protein synthesis. J. Biol. Chem. 281, 29011–29021 (2006).
Gerashchenko, M.V., Lobanov, A.V. & Gladyshev, V.N. Genome-wide ribosome profiling reveals complex translational regulation in response to oxidative stress. Proc. Natl. Acad. Sci. USA 109, 17394–17399 (2012).
Morgan, M. et al. ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data. Bioinformatics 25, 2607–2608 (2009).
Gentleman, R.C. et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 5, R80 (2004).
Morgan, M. & Pages, H. Rsamtools: binary alignment (BAM), variant call (BCF), or tabix file import. R package version 1.12.3 http://bioconductor.org/packages/release/bioc/html/Rsamtools.html (2013).
Thorvaldsdottir, H., Robinson, J.T. & Mesirov, J.P. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief. Bioinform. 14, 178–192 (2013).
Acknowledgements
We thank A. Jones for help in editing the manuscript. We thank the members of the Steinmetz laboratory for helpful discussions and critical comments. We thank M. Livingstone for access to alternative decapping enzymes. This study was technically supported by the European Molecular Biology Laboratory (EMBL) Genomics Core Facility. This study was financially supported by the US National Institutes of Health (NIH; grants R01 GM068717 and P01 HG000205), Deutsche Forschungsgemeinschaft (1422/3-1) and a European Research Council Advanced Investigator Grant (no. AdG-294542) to L.M.S.
Author information
Authors and Affiliations
Contributions
V.P., W.W. and L.M.S. conceived the project. V.P. developed the 5PSeq method. W.W. and V.P. performed data analysis. L.M.S. supervised the study. All authors wrote the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Rights and permissions
About this article
Cite this article
Pelechano, V., Wei, W. & Steinmetz, L. Genome-wide quantification of 5′-phosphorylated mRNA degradation intermediates for analysis of ribosome dynamics. Nat Protoc 11, 359–376 (2016). https://doi.org/10.1038/nprot.2016.026
Published:
Issue Date:
DOI: https://doi.org/10.1038/nprot.2016.026
This article is cited by
-
The effects of codon bias and optimality on mRNA and protein regulation
Cellular and Molecular Life Sciences (2021)
-
Ribosome profiling analysis of eEF3-depleted Saccharomyces cerevisiae
Scientific Reports (2019)
-
Sensitive high-throughput single-cell RNA-seq reveals within-clonal transcript correlations in yeast populations
Nature Microbiology (2019)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.