Skip to main content

Small RNA Profiling by Next-Generation Sequencing Using High-Definition Adapters

  • Protocol
  • First Online:
MicroRNA Detection and Target Identification

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2630))

  • 699 Accesses

Abstract

Next-generation sequencing (NGS) of small RNA (sRNA) cDNA libraries permits the identification and characterization of sRNA species de novo. However, the method through which these libraries are constructed can often introduce artifacts such as over- or underrepresentation of specific sequences or adapter oligonucleotides due to sequence biases held by the enzymes used. In this chapter we describe a protocol for sRNA library construction making use of high-definition (HD) adapters for the Illumina sequencing platform, which reduce ligation bias. This protocol leads to drastically reduced direct 5′/3′ adapter ligation products and can be used for the synthesis of sRNA libraries from total RNA or sRNA of various plant, animal, and fungal samples. This protocol also includes a method for total RNA extraction from plant leaf and cultured cells or body fluids.

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

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

Institutional subscriptions

References

  1. Pritchard CC, Cheng HH, Tewari M (2012) MicroRNA profiling: approaches and considerations. Nat Rev Genet 13(5):358–369

    Article  CAS  Google Scholar 

  2. Pfeffer S, Lagos-Quintana M, Tuschl T (2005) Cloning of small RNA molecules. Curr Protoc Mol Biol 72(1):26.4.1–26.4.18

    Article  Google Scholar 

  3. Stocks MB, Moxon S, Mapleson D, Woolfenden HC, Mohorianu I, Folkes L et al (2012) The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets. Bioinformatics 28(15):2059–2061

    Article  CAS  Google Scholar 

  4. Jayprakash AD, Jabado O, Brown BD, Sachidanandam R (2011) Identification and remediation of biases in the activity of RNA ligases in small-RNA deep sequencing. Nucleic Acids Res 39:e141

    Article  Google Scholar 

  5. Zhang Z, Lee JE, Riemondy K, Anderson EM, Yi R (2013) High-efficiency RNA cloning enables accurate quantification of miRNA expression by deep sequencing. Genome Biol 14(10):R109

    Article  Google Scholar 

  6. Sun G, Wu X, Wang J, Li H, Li X, Gao H et al (2011) A bias-reducing strategy in profiling small RNAs using Solexa. RNA 17(12):2256–2262

    Article  CAS  Google Scholar 

  7. Sorefan K, Pais H, Hall AE, Kozomara A, Griffiths-Jones S, Moulton V et al (2012) Reducing ligation bias of small RNAs in libraries for next generation sequencing. Silence 3(1):4

    Article  CAS  Google Scholar 

  8. Xu P, Mohorianu I, Yang L, Zhao H, Gao Z, Dalmay T (2014) Small RNA profile in Moso bamboo root and leaf obtained by high definition adapters. PLoS One 9(7):e103590

    Article  Google Scholar 

  9. Xu P, Billmeier M, Mohorianu I, Green D, Fraser W, Dalmay T (2015) An improved protocol for small RNA library construction using high definition adapters. Methods Next Generat Sequenc 2(1):10

    Article  Google Scholar 

  10. Pease J (2011) Small-RNA sequencing libraries with greatly reduced adaptor-dimer background. Nat Methods 8(3):iii–iv

    Article  CAS  Google Scholar 

  11. Vaidyanathan R, Kuersten S, Doyle K (2013) Methods and kits for 3′-end-tagging of RNA [Internet]. US8574864B2

    Google Scholar 

  12. Martin M (2013) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnetjournal 17(1):10–12

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rocky Payet .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Payet, R., Billmeier, M. (2023). Small RNA Profiling by Next-Generation Sequencing Using High-Definition Adapters. In: Dalmay, T. (eds) MicroRNA Detection and Target Identification. Methods in Molecular Biology, vol 2630. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2982-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-0716-2982-6_8

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2981-9

  • Online ISBN: 978-1-0716-2982-6

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics