Evidence map›Paper›PMID 39388199›Full record

ArticleGenomics, proteomics & bioinformatics2024

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

Ping Xu, Zhiheng Yuan, Xiaohua Lu, Peng Zhou, Ding Qiu, Zhenghao Qiao, Zhongcheng Zhou, Li Guan, Yongkang Jia, Xuan He and 4 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ping XuChina-Japan Union Hospital of Jilin University, Jilin University, Changchun 130033, China.ORCID 0000-0003-2829-2116
Zhiheng YuanGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0009-0000-9901-2236
Xiaohua LuInstitute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0009-0005-2150-5635
Peng ZhouGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0009-0008-1625-3586
Ding QiuGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0000-0002-0807-1749
Zhenghao QiaoGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0009-0008-2229-5758
Zhongcheng ZhouGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0000-0002-7067-4006
Li GuanGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0009-0009-4880-4300
Yongkang JiaGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0009-0000-3433-6619
Xuan HeGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0009-0009-1081-9267
Ling SunCenter for Reproductive Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0000-0002-4267-8210
Youzhong WanChina-Japan Union Hospital of Jilin University, Jilin University, Changchun 130033, China.ORCID 0000-0002-9818-9555
Ming WangGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0000-0002-1959-4879
Yang YuGuangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.ORCID 0000-0003-0536-2783

Funding

National Natural Science Foundation of China 81921003
6 · The paper itself

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.

Indexed as

Single-Cell AnalysisTransposasesAnimalsGene Expression ProfilingMiceOocytesRNA-SeqSequence Analysis, RNATn5 transposaseTransposasesAntisense transcriptFull-lengthMouse early embryonic developmentSingle-cell RNA sequencingStrand-specific

Identifiers

PMID39388199
PMCPMC11658833

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.