Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing.
Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing.
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DOI:
10.1371/journal.pbio.3001017
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发表时间:
2020-12
期刊:
影响因子:
9.8
通讯作者:
Tang F
中科院分区:
文献类型:
--
作者:
Fan X;Tang D;Liao Y;Li P;Zhang Y;Wang M;Liang F;Wang X;Gao Y;Wen L;Wang D;Wang Y;Tang F
The development of next generation sequencing (NGS) platform-based single-cell RNA sequencing (scRNA-seq) techniques has tremendously changed biological researches, while there are still many questions that cannot be addressed by them due to their short read lengths. We developed a novel scRNA-seq technology based on third-generation sequencing (TGS) platform (single-cell amplification and sequencing of full-length RNAs by Nanopore platform, SCAN-seq). SCAN-seq exhibited high sensitivity and accuracy comparable to NGS platform-based scRNA-seq methods. Moreover, we captured thousands of unannotated transcripts of diverse types, with high verification rate by reverse transcription PCR (RT-PCR)–coupled Sanger sequencing in mouse embryonic stem cells (mESCs). Then, we used SCAN-seq to analyze the mouse preimplantation embryos. We could clearly distinguish cells at different developmental stages, and a total of 27,250 unannotated transcripts from 9,338 genes were identified, with many of which showed developmental stage-specific expression patterns. Finally, we showed that SCAN-seq exhibited high accuracy on determining allele-specific gene expression patterns within an individual cell. SCAN-seq makes a major breakthrough for single-cell transcriptome analysis field. This study describes a novel single-cell RNA-seq technology called SCAN-seq which can capture the full-length transcripts in single cells based on the third-generation Nanopore sequencing platform, and demonstrates its performance on mouse preimplantation embryos.
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影响因子:
--
作者:
Codina-Fauteux, Valerie-Anne;Beaudoin, Melissa;Lettre, Guillaume
通讯作者:
Lettre, Guillaume
影响因子:
8.8
作者:
Cui, Yueli;Zheng, Yuxuan;Tang, Fuchou
通讯作者:
Tang, Fuchou
影响因子:
16.6
作者:
Byrne A;Beaudin AE;Olsen HE;Jain M;Cole C;Palmer T;DuBois RM;Forsberg EC;Akeson M;Vollmers C
通讯作者:
Vollmers C
影响因子:
7
作者:
Tardaguila M;de la Fuente L;Marti C;Pereira C;Pardo-Palacios FJ;Del Risco H;Ferrell M;Mellado M;Macchietto M;Verheggen K;Edelmann M;Ezkurdia I;Vazquez J;Tress M;Mortazavi A;Martens L;Rodriguez-Navarro S;Moreno-Manzano V;Conesa A
通讯作者:
Conesa A
DOI:
10.1007/978-1-4939-9240-9_6
发表时间:
2019-01-01
期刊:
SINGLE CELL METHODS: SEQUENCING AND PROTEOMICS
影响因子:
--
作者:
Bageritz, Josephine;Raddi, Gianmarco
通讯作者:
Raddi, Gianmarco