Literature DB >> 31350733

Comparison of library construction kits for mRNA sequencing in the Illumina platform.

Yong-Soo Park1, Songmi Kim2,3, Dong-Guk Park4, Dong Hee Kim5, Kyeong-Wook Yoon6, Wonseok Shin7,8, Kyudong Han9,10.   

Abstract

BACKGROUND: The emergence of next-generation sequencing (NGS) technologies has made a tremendous contribution to the deciphering and significance of transcriptome analysis in biological fields. Since the advent of NGS technology in 2007, Illumina, Inc. has provided one of the most widely used sequencing platforms for NGS analysis.
OBJECTIVE: Although reagents and protocols provided by Illumina are adequately performed in transcriptome sequencing, recently, alternative reagents and protocols which are relatively cost effective are accessible. However, the kits derived from various manufacturers have advantages and disadvantages when researchers carry out the transcriptome library construction.
METHODS: We compared them using a variety of protocols to produce Illumina-compatible libraries based on transcriptome. Three different mRNA sequencing kits were selected for this study: TruSeq® RNA Sample Preparation V2 (Illumina, Inc., USA), Universal Plus mRNA-Seq (NuGEN, Ltd., UK), and NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina® (New England BioLabs, Ltd., USA). We compared them focusing on cost, experimental time, and data output.
RESULTS: The quality and quantity of sequencing data obtained through the NGS technique were strongly influenced by the type of the sequencing library kits. It suggests that for transcriptome studies, researchers should select a suitable library construction kit according to the goal and resources of experiments.
CONCLUSION: The present work will help researchers to choose the right sequencing library construction kit for transcriptome analyses.

Keywords:  Library prep kit; Poly A selection; RNA-Seq; Transcriptome sequencing

Mesh:

Substances:

Year:  2019        PMID: 31350733     DOI: 10.1007/s13258-019-00853-3

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


  32 in total

1.  A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing.

Authors:  Peng Cui; Qiang Lin; Feng Ding; Chengqi Xin; Wei Gong; Lingfang Zhang; Jianing Geng; Bing Zhang; Xiaomin Yu; Jin Yang; Songnian Hu; Jun Yu
Journal:  Genomics       Date:  2010-08-03       Impact factor: 5.736

Review 2.  Design and validation issues in RNA-seq experiments.

Authors:  Zhide Fang; Xiangqin Cui
Journal:  Brief Bioinform       Date:  2011-04-15       Impact factor: 11.622

Review 3.  Critical role of bioinformatics in translating huge amounts of next-generation sequencing data into personalized medicine.

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Journal:  Sci China Life Sci       Date:  2013-02-08       Impact factor: 6.038

4.  Principles of transcriptome analysis and gene expression quantification: an RNA-seq tutorial.

Authors:  Jochen B W Wolf
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5.  Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

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Journal:  Nat Protoc       Date:  2012-03-01       Impact factor: 13.491

Review 6.  Library construction for next-generation sequencing: overviews and challenges.

Authors:  Steven R Head; H Kiyomi Komori; Sarah A LaMere; Thomas Whisenant; Filip Van Nieuwerburgh; Daniel R Salomon; Phillip Ordoukhanian
Journal:  Biotechniques       Date:  2014-02-01       Impact factor: 1.993

7.  Influence of RNA extraction methods and library selection schemes on RNA-seq data.

Authors:  Marc Sultan; Vyacheslav Amstislavskiy; Thomas Risch; Moritz Schuette; Simon Dökel; Meryem Ralser; Daniela Balzereit; Hans Lehrach; Marie-Laure Yaspo
Journal:  BMC Genomics       Date:  2014-08-11       Impact factor: 3.969

8.  The impact of RNA sequence library construction protocols on transcriptomic profiling of leukemia.

Authors:  Ashwini Kumar; Matti Kankainen; Alun Parsons; Olli Kallioniemi; Pirkko Mattila; Caroline A Heckman
Journal:  BMC Genomics       Date:  2017-08-17       Impact factor: 3.969

Review 9.  Transcriptome Profiling in Human Diseases: New Advances and Perspectives.

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Journal:  Int J Mol Sci       Date:  2017-07-29       Impact factor: 5.923

10.  Impact of library preparation on downstream analysis and interpretation of RNA-Seq data: comparison between Illumina PolyA and NuGEN Ovation protocol.

Authors:  Zhifu Sun; Yan W Asmann; Asha Nair; Yuji Zhang; Liguo Wang; Krishna R Kalari; Aditya V Bhagwate; Tiffany R Baker; Jennifer M Carr; Jean-Pierre A Kocher; Edith A Perez; E Aubrey Thompson
Journal:  PLoS One       Date:  2013-08-19       Impact factor: 3.240

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2.  Small Noncoding RNA Signatures for Determining the Developmental Potential of an Embryo at the Morula Stage.

Authors:  Angelika Timofeeva; Yulia Drapkina; Ivan Fedorov; Vitaliy Chagovets; Nataliya Makarova; Maria Shamina; Elena Kalinina; Gennady Sukhikh
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3.  Comparison of Two Illumina Whole Transcriptome RNA Sequencing Library Preparation Methods Using Human Cancer FFPE Specimens.

Authors:  Danyi Wang; P Alexander Rolfe; Dorothee Foernzler; Dennis O'Rourke; Sheng Zhao; Juergen Scheuenpflug; Zheng Feng
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4.  Targeting DNAJC19 overcomes tumor growth and lung metastasis in NSCLC by regulating PI3K/AKT signaling.

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