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植物单细胞转录组测序研究进展 被引量:5

Research Progress in Single-Cell RNA-Seq of Plant
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摘要 单细胞转录组测序是一种在单细胞水平上研究基因表达的技术。多孔板法和液滴法是目前应用于植物研究的两类主要的单细胞转录组技术。首先概述了植物单细胞转录组测序的技术原理和数据分析流程,然后介绍了植物单细胞转录组的研究进展,重点阐述了单细胞转录组测序技术在鉴定植物细胞类型、揭示细胞演化轨迹和构建细胞间调控网络中的应用。单细胞转录组测序技术可为植物领域的研究提供新视角,有助于识别和理解复杂组织中关键的细胞生物学过程。 Single-cell RNA-Seq(scRNA-seq)is a technology to analyze gene expression at single cell level.Currently PCR plate-based and droplet-based protocols are 2 major popular ones used in the studies of plant.Here,we firstly outline the technical principles and data analysis procedure of plant scRNA-seq,and then introduce its research status,focusing on how scRNA-seq can be used to detect distinct plant cell types,to reveal cell evolution trajectories and to construct inter-cell regulatory networks.ScRNA-seq may provide a new perspective on plant research,and help to understand and identify critical cellular biological processes in complex tissues.
作者 李益 孙超 LI Yi;SUN Chao(Institute of Medicinal Plant Development,China Academy of Medical Sciences&Peking Union Medical College,Beijing 100193)
出处 《生物技术通报》 CAS CSCD 北大核心 2021年第1期60-66,共7页 Biotechnology Bulletin
基金 中国医学科学院医学与健康科技创新工程(2016-I2M-2-003)。
关键词 单细胞 转录组测序 液滴法 多孔板法 细胞类型特异性 single cell RNA-sequencing droplet-based protocol PCR plate-based protocol cell-type-specific
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  • 1Wang Z, Gerstein M, Snyder M. RNA-Seq: a revolu- tionary tool for transcriptomics. Nat Rev Genet, 2009, 10(1): 57-63.
  • 2Kalisky T, Blainey P, Quake SR. Genomic analysis at the single-cell level. Annu Rev Genet, 2011, 45:431-445.
  • 3Huang S. Non-genetic heterogeneity of cells in develop- ment: more than just noise. Development, 2009, 136(23): 3853-3862.
  • 4Tang F, Lao K, Surani MA. Development and applications of single-cell transcriptome analysis. Nat Methods, 2011, 8(Suppl.4): S6-S11.
  • 5Brady G, Barbara M, Iscove NN. Representative in vitro cDNA amplification from individual hemopoietic cells and colonies. Methods Mol Cell Biol, 1990, 2: 17-25.
  • 6Tang FC, Barbacioru C, Wang YZ, Nordman E, Lee C, Xu NL, Wang XH, Bodeau J, Tuch BB, Siddiqui A, Lao KQ, Surani MA. mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods, 2009, 6(5): 377-382.
  • 7Ramsk61d D, Luo S J, Wang YC, Li RB, Deng QL, Faridani OR, Daniels GA, Khrebtukova I, Loring JF, Laurent LC, Schroth GP, Sandberg R. Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells. Nat Biotechnol, 2012, 30(8): 777-782.
  • 8Picelli S, Bj6rklund AK, Faridani OR, Sagasser S, Winberg G, Sandberg R. Smart-seq2 for sensitive full-length transcriptome profiling in single cells. Nat Methods, 2013, 10(11): 1096-1098.
  • 9Islam S, Kj/illquist U, Moliner A, Zajac P, Fan JB, L6nnerberg P, Linnarsson S. Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. Genome Res, 2011, 21(7): 1160-1167.
  • 10Pan XH, Durrett RE, Zhu HY, Tanaka Y, Li YM, Zi XY, Marjani SL, Euskirchen G, Ma C, LaMotte RH, Park IH, Snyder MP, Mason CE, Weissman SM. Two methods for full-length RNA sequencing for low quantities of cells and single cells. Proe Natl Aead Sei USA, 2013, 110(2): 594-599.

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