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Next-Generation Sequencing for MicroRNA Expression Profile

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Bioinformatics in MicroRNA Research

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1617))

Abstract

Sequencing technologies have made considerable advancements. From the Sanger sequencing method to the next-generation sequencing (NGS) methods, and from the NGS methods to the third-generation sequencing methods, we can see the development thread of the sequencing technology. Currently, NGS is the main contender in the sequencing market. NGS technologies provide an opportunity to research the microRNA (miRNA) expression profiles in detail. The NGS platforms have their own special characteristics, but share some main ideas. DNA sequencing via NGS is fundamental for RNA sequencing and miRNA sequencing. MiRNA sequencing has special characteristics. The pipeline of miRNA sequencing by NGS is explained in detail from the wet experiment to the dry experiment.

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Author information

Authors and Affiliations

  1. College of Bioengineering, Qilu University of Technology, No. 3501, Da Xue Rd., Changqing District, Jinan, Shandong, 250353, People’s Republic of China

    Yue Hu

  2. School of Bioengineering, Qilu University of Technology, No. 3501, Da Xue Rd., Changqing District, Jinan, Shandong, 250353, People’s Republic of China

    Wenjun Lan Ph.D.

  3. School of Computing, University of South Alabama, Mobile, AL, 36688, USA

    Daniel Miller

Authors
  1. Yue Hu
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  2. Wenjun Lan Ph.D.
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  3. Daniel Miller
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Corresponding author

Correspondence to Wenjun Lan Ph.D. .

Editor information

Editors and Affiliations

  1. School of Computing, University of South Alabama, Mobile, Alabama, USA

    Jingshan Huang

  2. Department of Pharmacology, University of South Alabama, Mobile, Alabama, USA

    Glen M. Borchert

  3. Department of Computer and Information Science, University of Oregon, Eugene, Oregon, USA

    Dejing Dou

  4. Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas, USA

    Jun (Luke) Huan

  5. School of Bioengineering, Qilu University of Technology, Jinan, Shandong, China

    Wenjun Lan

  6. Mitchel Cancer Institute, University of South Alabama, Mobile, Alabama, USA

    Ming Tan

  7. Department of Endocrinology, First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China

    Bin Wu

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Hu, Y., Lan, W., Miller, D. (2017). Next-Generation Sequencing for MicroRNA Expression Profile. In: Huang, J., et al. Bioinformatics in MicroRNA Research. Methods in Molecular Biology, vol 1617. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7046-9_12

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  • DOI: https://doi.org/10.1007/978-1-4939-7046-9_12

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7044-5

  • Online ISBN: 978-1-4939-7046-9

  • eBook Packages: Springer Protocols

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