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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.1
- 수록면
- 1,233 - 1,240 (8page)
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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.
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참고문헌 (32)
참고문헌 신청
Alberti A / 2014 / Comparison of library preparation methods reveals their impact on interpretation of metatranscriptomic data / BMC Genom 15:912
Casamassimi A / 2017 / Transcriptome profiling in human diseases : new advances and perspectives / Int J Mol Sci 18:1652
Chaitankar V / 2016 / Next generation sequencing technology and genomewide data analysis : perspectives for retinal research / Prog Retin Eye Res 55:1~31
Conesa A / 2016 / A survey of best practices for RNA-Seq data analysis / Genome Biol 17:13
Cui P / 2010 / A comparison between ribo-minus RNAsequencing and polyA-selected RNA-sequencing / Genomics 96:259~265
Casamassimi A / 2017 / Transcriptome profiling in human diseases : new advances and perspectives / Int J Mol Sci 18:1652
Chaitankar V / 2016 / Next generation sequencing technology and genomewide data analysis : perspectives for retinal research / Prog Retin Eye Res 55:1~31
Conesa A / 2016 / A survey of best practices for RNA-Seq data analysis / Genome Biol 17:13
Cui P / 2010 / A comparison between ribo-minus RNAsequencing and polyA-selected RNA-sequencing / Genomics 96:259~265
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