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Evaluation and application of the strand-specific protocol for next-generation sequencing

  • Kuo Wang Tsai
  • , Bill Chang
  • , Cheng Tsung Pan
  • , Wei Chen Lin
  • , Ting Wen Chen
  • , Sung Chou Li*
  • *Corresponding author for this work
  • Veterans General Hospital-Kaohsiung Taiwan
  • Yourgene Health
  • National Yang Ming Chiao Tung University
  • National Cheng Kung University
  • Chang Gung University

Research output: Contribution to journalJournal Article peer-review

7 Scopus citations

Abstract

Next-generation sequencing (NGS) has become a powerful sequencing tool, applied in a wide range of biological studies. However, the traditional sample preparation protocol for NGS is non-strand-specific (NSS), leading to biased estimates of expression for transcripts overlapped at the antisense strand. Strand-specific (SS) protocols have recently been developed. In this study, we prepared the same RNA sample by using the SS and NSS protocols, followed by sequencing with Illumina HiSeq platform. Using real-time quantitative PCR as a standard, we first proved that the SS protocol more precisely estimates gene expressions compared with the NSS protocol, particularly for those overlapped at the antisense strand. In addition, we also showed that the sequence reads from the SS protocol are comparable with those from conventional NSS protocols in many aspects. Finally, we also mapped a fraction of sequence reads back to the antisense strand of the known genes, originally without annotated genes located. Using sequence assembly and PCR validation, we succeeded in identifying and characterizing the novel antisense genes. Our results show that the SS protocol performs more accurately than the traditional NSS protocol and can be applied in future studies.

Original languageEnglish
Article number182389
JournalBioMed Research International
Volume2015
DOIs
StatePublished - 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Kuo-Wang Tsai et al.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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