RAG-seq: NSR-primed and Transposase Tagmentation-mediated Strand-specific Total RNA Sequencing in Single Cells

Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cellular diversity with unprecedented resolution. However, many current methods are limited in capturing full-length transcripts and discerning strand orientation. Here, we present RAG-seq, an innovative strand-specific total RNA sequencing technique that combines not-so-random (NSR) primers with Tn5 transposase-mediated tagmentation. RAG-seq overcomes previous limitations by delivering comprehensive transcript coverage and maintaining strand orientation, which are essential for accurate quantification of overlapping genes and detection of antisense transcripts. Through optimized reverse transcription with oligo-dT primers, rRNA depletion via Depletion of Abundant Sequences by Hybridization (DASH), and linear amplification, RAG-seq enhances sensitivity and reproducibility, especially for low-input samples and single cells. Application to mouse oocytes and early embryos highlights RAG-seq's superior performance in identifying stage-specific antisense transcripts, shedding light on their regulatory roles during early development. This advancement represents a significant leap in transcriptome analysis within complex biological contexts.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2024-10-01
DOI
https://doi.org/10.1093/gpbjnl/qzae072
Citations
1
Primary Topic
Plant Disease Resistance and Genetics
Type
article
Field-Weighted Citation Impact
0.60

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article

RAG-seq: NSR-primed and Transposase Tagmentation-mediated Strand-specific Total RNA Sequencing in Single Cells

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1 citations
Genomics Proteomics & Bioinformatics
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article

RAG-seq: NSR-primed and Transposase Tagmentation-mediated Strand-specific Total RNA Sequencing in Single Cells

Yang Yu, Zhongcheng Zhou, Zhiheng Yuan, Zhenghao Qiao, Ming Wang, Ling Sun, Ping Xu, Youzhong Wan, Peng Zhou, Ding Qiu, Li Guan, Xuan He, Xiaohua Lu, Yongkang Jia
article en
1 citations

Abstract

Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cellular diversity with unprecedented resolution. However, many current methods are limited in capturing full-length transcripts and discerning strand orientation. Here, we present RAG-seq, an innovative strand-specific total RNA sequencing technique that combines not-so-random (NSR) primers with Tn5 transposase-mediated tagmentation. RAG-seq overcomes previous limitations by delivering comprehensive transcript coverage and maintaining strand orientation, which are essential for accurate quantification of overlapping genes and detection of antisense transcripts. Through optimized reverse transcription with oligo-dT primers, rRNA depletion via Depletion of Abundant Sequences by Hybridization (DASH), and linear amplification, RAG-seq enhances sensitivity and reproducibility, especially for low-input samples and single cells. Application to mouse oocytes and early embryos highlights RAG-seq's superior performance in identifying stage-specific antisense transcripts, shedding light on their regulatory roles during early development. This advancement represents a significant leap in transcriptome analysis within complex biological contexts.

Genomics Proteomics & BioinformaticsVol. 22(5)
Jilin University (CN), Chinese Academy of Sciences (CN), Guangzhou Women and Children Medical Center (CN), Institute of Biophysics (CN), Union Hospital (CN), Changchun University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, People's Government of Jilin Province
Openalex Percentile: Top 21%
Plant Disease Resistance and Genetics
0.60
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