Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Protocol
  • Published:

Low-bias, strand-specific transcriptome Illumina sequencing by on-flowcell reverse transcription (FRT-seq)

Abstract

The unifying feature of second-generation sequencing technologies is that single template strands are amplified clonally onto a solid surface prior to the sequencing reaction. To convert template strands into a compatible state for attachment to this surface, a multistep library preparation is required, which typically culminates in amplification by the PCR. PCR is an inherently biased process, which decreases the efficiency of data acquisition. Flowcell reverse transcription sequencing is a method of transcriptome sequencing for Illumina sequencers in which the reverse transcription reaction is performed on the flowcell by using unamplified, adapter-ligated mRNA as a template. This approach removes PCR biases and duplicates, generates strand-specific paired-end data and is highly reproducible. The procedure can be performed quickly, taking 2 d to generate clusters from mRNA.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: FRT-seq workflow.
Figure 2: Agilent Bioanalyzer 2100 RNA chip results for a fragmented RNA sample.
Figure 3: Removal of unligated adapter.
Figure 4: Agilent Bioanalyzer 2100 RNA chip results for a ligated RNA sample.
Figure 5: Reproducibility and strand specificity of FRT-seq.

Similar content being viewed by others

References

  1. Wang, Z., Gerstein, M. & Snyder, M. RNA-Seq: a revolutionary tool for transcriptomics. Nat. Rev. Genet. 10, 57–63 (2009).

    Article  CAS  Google Scholar 

  2. Wu, J.Q., Du, J. & Rozowsky, J. et al. Systematic analysis of transcribed loci in ENCODE regions using RACE sequencing reveals extensive transcription in the human genome. Genome Biol. 9, R3 (2008).

    Article  Google Scholar 

  3. Marioni, J.C., Mason, C.E., Mane, S.M., Stephens, M. & Gilad, Y. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. Genome Res. 18, 1509–1517 (2008).

    Article  CAS  Google Scholar 

  4. David, L., Huber, W. & Granovskaia, M. et al. A high-resolution map of transcription in the yeast genome. Proc. Natl. Acad. Sci. USA 103, 5320–5325 (2006).

    Article  CAS  Google Scholar 

  5. Wilhelm, B.T., Marguerat, S. & Watt, S. et al. Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution. Nature 453, 1239–1243 (2008).

    Article  CAS  Google Scholar 

  6. Dutrow, N., Nix, D.A. & Holt, D. et al. Dynamic transcriptome of Schizosaccharomyces pombe shown by RNA-DNA hybrid mapping. Nat. Genet. 40, 977–986 (2008).

    Article  CAS  Google Scholar 

  7. Carninci, P., Kasukawa, T. & Katayama, S. et al. The transcriptional landscape of the mammalian genome. Science 309, 1559–1563 (2005).

    Article  CAS  Google Scholar 

  8. Katayama, S., Tomaru, Y. & Kasukawa, T. et al. Antisense transcription in the mammalian transcriptome. Science 309, 1564–1566 (2005).

    Article  Google Scholar 

  9. Cloonan, N., Forrest, A.R. & Kolle, G. et al. Stem cell transcriptome profiling via massive-scale mRNA sequencing. Nat. Methods 5, 613–619 (2008).

    Article  CAS  Google Scholar 

  10. Croucher, N.J., Fookes, M.C. & Perkins, T.T. et al. A simple method for directional transcriptome sequencing using Illumina technology. Nucleic Acids Res. 37, e148 (2009).

    Article  Google Scholar 

  11. He, Y., Vogelstein, B., Velculescu, V.E., Papadopoulos, N. & Kinzler, K.W. The antisense transcriptomes of human cells. Science 322, 1855–1857 (2008).

    Article  CAS  Google Scholar 

  12. Lister, R., O'Malley, R.C. & Tonti-Filippini, J. et al. Highly integrated single-base resolution maps of the epigenome in Arabidopsis. Cell 133, 523–536 (2008).

    Article  CAS  Google Scholar 

  13. Ozsolak, F., Platt, A.R. & Jones, D.R. et al. Direct RNA sequencing. Nature 461, 814–818 (2009).

    Article  CAS  Google Scholar 

  14. Parkhomchuk, D., Borodina, T. & Amstislavskiy, V. et al. Transcriptome analysis by strand-specific sequencing of complementary DNA. Nucleic Acids Res. 37, e123 (2009).

    Article  Google Scholar 

  15. Vivancos, A.P., Guell, M., Dohm, J.C., Serrano, L. & Himmelbauer, H. Strand-specific deep sequencing of the transcriptome. Genome Res. 20, 989–999 (2010).

    Article  CAS  Google Scholar 

  16. Kozarewa, I., Ning, Z. & Quail, M.A. et al. Amplification-free Illumina sequencing-library preparation facilitates improved mapping and assembly of (G+C)-biased genomes. Nat. Methods 6, 291–295 (2009).

    Article  CAS  Google Scholar 

  17. Lipson, D., Raz, T. & Kieu, A. et al. Quantification of the yeast transcriptome by single-molecule sequencing. Nat. Biotechnol. 27, 652–658 (2009).

    Article  CAS  Google Scholar 

  18. Mamanova, L., Andrews, R.M. & James, K.D. et al. FRT-seq: amplification-free, strand-specific transcriptome sequencing. Nat. Methods 7, 130–132 (2010).

    Article  CAS  Google Scholar 

  19. Chen, D. & Patton, J.T. Reverse transcriptase adds nontemplated nucleotides to cDNAs during 5′-RACE and primer extension. Biotechniques 30, 574–580, 582 (2001).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank R. Andrews, K. James, L. Sheridan, P. Ellis, C. Langford, T. Ost and J. Collins, who co-authored the primary paper, and M. Gibbs, who helped with the cBot recipes. This work was supported by the Wellcome Trust, grant no. WT079643.

Author information

Authors and Affiliations

Authors

Contributions

D.J.T. designed the study; L.M. developed protocols and conducted the experiments; D.J.T. and L.M. wrote the manuscript.

Corresponding author

Correspondence to Lira Mamanova.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Method 1

cBot_FRTseq_amp_v7.0.txt — recipe for reverse transcription and cluster amplification for both single and paired end flowcells on cBot (XML 3 kb)

Supplementary Method 2

cBot_PE_Destain_Lin_Block_Hyb_v7.0.txt — recipe for paired end read flowcells, destain, linearization and blocking on cBot (XML 5 kb)

Supplementary Method 3

cBot_SR_Destain_Lin_Block_Hyb_v7.0.txt — recipe for single read flowcells, destain, linearization and blocking on cBot (XML 5 kb)

Supplementary Method 4

CS_FRTseq_amp_v5.0.txt — recipe for reverse transcription and cluster amplification on Cluster Station (XML 10 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mamanova, L., Turner, D. Low-bias, strand-specific transcriptome Illumina sequencing by on-flowcell reverse transcription (FRT-seq). Nat Protoc 6, 1736–1747 (2011). https://doi.org/10.1038/nprot.2011.399

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nprot.2011.399

This article is cited by

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.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing