Literature DB >> 34586036

MustSeq, an alternative approach for multiplexible strand-specific 3' end sequencing of mRNA transcriptome confers high efficiency and practicality.

Liyao Mai1, Yinbin Qiu1, Zhiwei Lian1, Caiming Chen1, Linlin Wang1, Yao Yin1, Siqi Wang1, Xiang Yang1,2, Yazi Li1, Wanwan Peng1, Chaochao Luo1, Xinghua Pan1,2,3,4.   

Abstract

RNA-seq has been widely used to reveal the molecular mechanism of variants of life process. We have developed an alternative method, MustSeq, which generates multiple second strands along a single 1st strand cDNA by random-priming initiation, immediately after reverse transcription for each RNA extract using sample-barcoded poly-dT primers, then 3' ends-enriching PCR is applied to construct the library. Unlike the conventional RNA seq, MustSeq avoids procedures such as mRNA isolation, fragmentation and RNA 5'-end capture, enables early pooling of multiple samples, and requires only one twentieth of sequencing reads of full-length sequencing. We demonstrate the power and features of MustSeq comparing with TruSeq and NEBNext RNA-seq, two conventional full-length methods and QuantSeq, an industrial 3' end method. In cancer cell lines, the reads distribution of CDS-exon as well as genes, lncRNAs and GO terms detected by MustSeq are closer than QuantSeq to TruSeq. In mouse hepatocarcinoma and healthy livers, MustSeq enriches the same pathways as by NEBNext, and reveals the molecular profile of carcinogenesis. Overall MustSeq is a robust and accurate RNA-seq method allowing efficient library construction, sequencing and analysis, particularly valuable for analysis of differentially expressed genes with a large number of samples. MustSeq will greatly accelerate the application of bulk RNA-seq on different fields, and potentially applicable for single cell RNA-seq.

Entities:  

Keywords:  3ʹ end sequencing; RNA-Seq; differentially expressed genes; high throughput; methodology; transcriptomics

Mesh:

Substances:

Year:  2021        PMID: 34586036      PMCID: PMC8682976          DOI: 10.1080/15476286.2021.1974208

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.766


  50 in total

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Review 9.  Characterization of cancer genomic heterogeneity by next-generation sequencing advances precision medicine in cancer treatment.

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