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A comparison of mRNA sequencing (RNA-Seq) library preparation methods for transcriptome analysis
by
Ura, Hiroki
, Togi, Sumihito
, Niida, Yo
in
Alternative Splicing
/ Analysis
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ DNA, Complementary - genetics
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene sequencing
/ Genes
/ Genetic engineering
/ Genetic transcription
/ Genomics
/ High-Throughput Nucleotide Sequencing - methods
/ Investigations
/ Libraries
/ Life Sciences
/ Messenger RNA
/ Methods
/ Microarrays
/ Microbial Genetics and Genomics
/ Performance evaluation
/ Plant Genetics and Genomics
/ Proteins
/ Proteomics
/ Ribonucleic acid
/ RNA
/ RNA sequencing
/ RNA, Messenger - genetics
/ RNA, Messenger - metabolism
/ RNA-Seq
/ Sequence Analysis, RNA - methods
/ Splicing
/ Transcription
/ Transcriptome
/ Transcriptomes
2022
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A comparison of mRNA sequencing (RNA-Seq) library preparation methods for transcriptome analysis
by
Ura, Hiroki
, Togi, Sumihito
, Niida, Yo
in
Alternative Splicing
/ Analysis
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ DNA, Complementary - genetics
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene sequencing
/ Genes
/ Genetic engineering
/ Genetic transcription
/ Genomics
/ High-Throughput Nucleotide Sequencing - methods
/ Investigations
/ Libraries
/ Life Sciences
/ Messenger RNA
/ Methods
/ Microarrays
/ Microbial Genetics and Genomics
/ Performance evaluation
/ Plant Genetics and Genomics
/ Proteins
/ Proteomics
/ Ribonucleic acid
/ RNA
/ RNA sequencing
/ RNA, Messenger - genetics
/ RNA, Messenger - metabolism
/ RNA-Seq
/ Sequence Analysis, RNA - methods
/ Splicing
/ Transcription
/ Transcriptome
/ Transcriptomes
2022
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A comparison of mRNA sequencing (RNA-Seq) library preparation methods for transcriptome analysis
by
Ura, Hiroki
, Togi, Sumihito
, Niida, Yo
in
Alternative Splicing
/ Analysis
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ DNA, Complementary - genetics
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene sequencing
/ Genes
/ Genetic engineering
/ Genetic transcription
/ Genomics
/ High-Throughput Nucleotide Sequencing - methods
/ Investigations
/ Libraries
/ Life Sciences
/ Messenger RNA
/ Methods
/ Microarrays
/ Microbial Genetics and Genomics
/ Performance evaluation
/ Plant Genetics and Genomics
/ Proteins
/ Proteomics
/ Ribonucleic acid
/ RNA
/ RNA sequencing
/ RNA, Messenger - genetics
/ RNA, Messenger - metabolism
/ RNA-Seq
/ Sequence Analysis, RNA - methods
/ Splicing
/ Transcription
/ Transcriptome
/ Transcriptomes
2022
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A comparison of mRNA sequencing (RNA-Seq) library preparation methods for transcriptome analysis
Journal Article
A comparison of mRNA sequencing (RNA-Seq) library preparation methods for transcriptome analysis
2022
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Overview
Background
mRNA sequencing is a powerful technique, which is used to investigate the transcriptome status of a gene of interest, such as its transcription level and splicing variants. Presently, several RNA sequencing (RNA-Seq) methods have been developed; however, the relative advantage of each method has remained unknown. Here we used three commercially available RNA-Seq library preparation kits; the traditional method (TruSeq), in addition to full-length double-stranded cDNA methods (SMARTer and TeloPrime) to investigate the advantages and disadvantages of these three approaches in transcriptome analysis.
Results
We observed that the number of expressed genes detected from the TeloPrime sequencing method was fewer than that obtained using the TruSeq and SMARTer. We also observed that the expression patterns between TruSeq and SMARTer correlated strongly. Alternatively, SMARTer and TeloPrime methods underestimated the expression of relatively long transcripts. Moreover, genes having low expression levels were undetected stochastically regardless of any three methods used. Furthermore, although TeloPrime detected a significantly higher proportion at the transcription start site (TSS), its coverage of the gene body was not uniform. SMARTer is proposed to be yielded for nonspecific genomic DNA amplification. In contrast, the detected splicing event number was highest in the TruSeq. The percent spliced in index (PSI) of the three methods was highly correlated.
Conclusions
TruSeq detected transcripts and splicing events better than the other methods and measured expression levels of genes, in addition to splicing events accurately. However, although detected transcripts and splicing events in TeloPrime were fewer, the coverage at TSS was highest. Additionally, SMARTer was better than TeloPrime with regards to the detected number of transcripts and splicing events among the understudied full-length double-stranded cDNA methods. In conclusion, for short-read sequencing, TruSeq has relative advantages for use in transcriptome analysis.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Analysis
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ DNA, Complementary - genetics
/ Gene Expression Profiling - methods
/ Genes
/ Genomics
/ High-Throughput Nucleotide Sequencing - methods
/ Methods
/ Microbial Genetics and Genomics
/ Proteins
/ RNA
/ RNA-Seq
/ Sequence Analysis, RNA - methods
/ Splicing
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