Skip to main content

Studying Isoform-Specific mRNA Recruitment to Polyribosomes with Frac-seq

  • Protocol

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1358))

Abstract

Gene expression profiling is widely used as a measure of the protein output of cells. However, it is becoming more evident that there are multiple layers of post-transcriptional gene regulation that greatly impact protein output (Battle et al., Science 347:664–667, 2014; Khan et al., Science 342:1100–1104, 2013; Vogel et al., Mol Syst Biol 6:400, 2010). Alternative splicing (AS) impacts the expression of protein coding genes in several ways. Firstly, AS increases exponentially the coding-capacity of genes generating multiple transcripts from the same genomic sequence. Secondly, alternatively spliced mRNAs are subjected differentially to RNA-degradation via pathways such as nonsense mediated decay (AS-NMD) or microRNAs (Shyu et al., EMBO J 27:471–481, 2008). And thirdly, cytoplasmic export from the nucleus and translation are regulated in an isoform-specific manner, adding an extra layer of regulation that impacts the protein output of the cell (Martin and Ephrussi, Cell 136:719–730, 2009; Sterne-Weiler et al., Genome Res 23:1615–1623, 2013). These data highlight the need of a method that allows analyzing both the nuclear events (AS) and the cytoplasmic fate (polyribosome-binding) of individual mRNA isoforms.

In order to determine how alternative splicing determines the polyribosome association of mRNA isoforms we developed Frac-seq. Frac-seq combines subcellular fractionation and high throughput RNA sequencing (RNA-seq). Frac-seq gives a window onto the translational fate of specific alternatively spliced isoforms on a genome-wide scale. There is evidence of preferential translation of specific mRNA isoforms (Coldwell and Morley, Mol Cell Biol 26:8448–8460, 2006; Sanford et al., Genes Dev 18:755–768; Zhong et al., Mol Cell 35:1–10, 2009; Michlewski et al., Mol Cell 30:179–189, 2008); the advantage of Frac-seq is that it allows analyzing the binding of alternatively spliced isoforms to polyribosomes and comparing their relative abundance to the cytosolic fraction. Polyribosomes are resolved by sucrose gradient centrifugation of cytoplasmic extracts, subsequent reading and extraction. The total mRNA fraction is taken prior ultracentrifugation as a measure of all mRNAs present in the sample. Both populations of RNAs are then isolated using phenol–chloroform precipitation; polyadenylated RNAs are selected and converted into libraries and sequenced. Bioinformatics analysis is then performed to measure alternatively spliced isoforms; several tools can be used such as MISO, RSEM, or Cufflinks (Katz et al., Nat Methods 7:1009–1015, 2010; Li and Dewey, BMC Bioinformatics 12:323, 2011; Trapnell et al., Nat Protoc 7:562–578, 2012). Comparison of total mRNAs and polyribosome-bound mRNAs can be used as a measure of the polyribosome association of specific isoforms based on the presence/absence of specific alternative splicing events in each fraction. Frac-seq shows that not all isoforms from a gene are equally loaded into polyribosomes, that mRNA preferential loading does not always correlate to its expression in the cytoplasm and that the presence of specific events such as microRNA binding sites or Premature Termination Codons determine the loading of specific isoforms into polyribosomes.

This is a preview of subscription content, log in via an institution.

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   139.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Penman S et al (1963) Polyribosomes in normal and poliovirus-infected Hela cells and their relationship to messenger-RNA. Proc Natl Acad Sci U S A 49:654–662

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  2. Atkin AL et al (1995) The majority of yeast UPF1 co-localizes with polyribosomes in the cytoplasm. Mol Biol Cell 6:611–625

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  3. Satterfield TF, Pallanck LJ (2006) Ataxin-2 and its Drosophila homolog, ATX2, physically assemble with polyribosomes. Hum Mol Genet 15:2523–2532

    Article  CAS  PubMed  Google Scholar 

  4. Zanetti ME et al (2005) Immunopurification of polyribosomal complexes of Arabidopsis for global analysis of gene expression. Plant Physiol 138:624–635

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  5. Esposito AM et al (2010) Eukaryotic polyribosome profile analysis. J Vis Exp 2010:1948

    Google Scholar 

  6. Ingolia NT et al (2012) The ribosome profiling strategy for monitoring translation in vivo by deep sequencing of ribosome-protected mRNA fragments. Nat Protoc 7:1534–1550

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Kislinger T et al (2006) Global survey of organ and organelle protein expression in mouse: combined proteomic and transcriptomic profiling. Cell 125:173–186

    Article  CAS  PubMed  Google Scholar 

  8. Griffin TJ et al (2002) Complementary profiling of gene expression at the transcriptome and proteome levels in Saccharomyces cerevisiae. Mol Cell Proteomics 1:323–3339

    Google Scholar 

  9. Katz Y et al (2010) Analysis and design of RNA sequencing experiments for identifying isoform regulation. Nat Methods 7:1009–101510

    Google Scholar 

  10. Li B, Dewey CN (2011) RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics 12:32311

    Google Scholar 

  11. Trapnell C et al (2012) Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc 7:562–578

    Google Scholar 

  12. Sterne-Weiler T et al (2013) Frac-seq reveals isoform-specific recruitment to polyribosomes. Genome Res 23:1615–162313

    Google Scholar 

  13. Langmead B, Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nat Methods 9:357–359

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Trapnell C, Pachter L, Salzberg SL (2009) TopHat: discovering splice junctions with RNA-Seq. Bioinformatics 25:1105–1111

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeremy R. Sanford .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media New York

About this protocol

Cite this protocol

Martinez-Nunez, R.T., Sanford, J.R. (2016). Studying Isoform-Specific mRNA Recruitment to Polyribosomes with Frac-seq. In: Dassi, E. (eds) Post-Transcriptional Gene Regulation. Methods in Molecular Biology, vol 1358. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3067-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-3067-8_6

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3066-1

  • Online ISBN: 978-1-4939-3067-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics