Abstract

Background3’ RNA sequencing provides an alternative to whole transcript analysis. However, we do not know a priori the relative advantage of each method. Thus, a comprehensive comparison between the whole transcript and the 3′ method is needed to determine their relative merits. To this end, we used two commercially available library preparation kits, the KAPA Stranded mRNA-Seq kit (traditional method) and the Lexogen QuantSeq 3’ mRNA-Seq kit (3′ method), to prepare libraries from mouse liver RNA. We then sequenced and analyzed the libraries to determine the advantages and disadvantages of these two approaches.ResultsWe found that the traditional whole transcript method and the 3’ RNA-Seq method had similar levels of reproducibility. As expected, the whole transcript method assigned more reads to longer transcripts, while the 3′ method assigned roughly equal numbers of reads to transcripts regardless of their lengths. We found that the 3’ RNA-Seq method detected more short transcripts than the whole transcript method. With regard to differential expression analysis, we found that the whole transcript method detected more differentially expressed genes, regardless of the level of sequencing depth.ConclusionsThe 3’ RNA-Seq method was better able to detect short transcripts, while the whole transcript RNA-Seq was able to detect more differentially expressed genes. Thus, both approaches have relative advantages and should be selected based on the goals of the experiment.

Highlights

  • High-throughput Ribonucleic acid (RNA)-sequencing (RNA-Seq) is a powerful tool to characterize and quantify transcriptomes, and is widely used in biomedical research

  • In the classic whole transcript method, extracted Messenger RNA (mRNA) are first randomly sheared into fragments, which are reverse transcribed into cDNAs (Fig. 1)

  • More than 95% of the differentially expressed transcripts detected in the subsampled datasets were detected in the analysis of the initial 10 million read dataset. These results indicate that Trad-KAPA libraries lead to a higher detection of differentially expressed transcripts compared to Lexogen QuantSeq 3’ mRNA-Seq (3’-LEXO) libraries, at all sequencing depths

Read more

Summary

Introduction

High-throughput RNA-sequencing (RNA-Seq) is a powerful tool to characterize and quantify transcriptomes, and is widely used in biomedical research. RNA-Seq is primarily used to quantify the abundance and relative changes in gene expression across sample groups [1]. It enables a relatively unbiased analysis of the transcriptome, and has single base pair resolution, a wide dynamic range of detection, and low background noise [2]. Since the initial application of RNA-Seq, many library preparation methods and sequencing platforms have been established, resulting in a number of choices for users. RNA-Seq is generally considered unbiased, it is important to note that fragmentation and library construction can introduce some biases into RNA-Seq results [2]. As cDNA fragments are sequenced, the number of reads corresponding (2019) 20:9

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call