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单细胞技术在干细胞组织修复与药物研发中的应用

The Application of Single Cell Technologies in Stem Cell Tissue Repair and Drug Development
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摘要 近十几年来,单细胞技术飞速发展,突破了传统疾病只能对细胞群体进行研究的局限,将分辨率精确到单个细胞,解决了细胞异质性以及生物材料的低获取量等问题。该综述侧重介绍单细胞技术的方法学进展,并且详细阐述了其在干细胞组织修复药物研发中的最新进展,有助于读者了解如何利用单细胞技术寻找组织修复和相关疾病发生、发展中的特定干细胞群落和研究相关生理病理机制,并针对相关疾病建立二维(two-dimensional, 2D)和三维(three-dimensional, 3D)的体外新药筛选模型,从而进行高通量药物筛选。 The rapid advancement of single cell technologies in recent years break the limit of traditional biomedical research from studying mixed cell population to a single-cell level,thus solving problems such as cellular heterogeneity and low access to rare biological materials.In this review,we provide an overview of recent progresses within key single-cell technologies,and focus on their applications in stem cell research and regeneration medicine.We present current developments within these areas and critically discuss how to use singlecell approaches to look for specific stem-cell subpopulation in tissue repair and disease,and to investigate the underlying cellular and molecular mechanisms.Finally we highlight high-throughput screening methods to identify disease-specific and cell-specific drugs using single-cell based two-dimensional and three-dimensional in vitro model systems.
作者 苏丹丹 程芳 Su Dandan;Cheng Fang(School of Pharmaceutical Sciences(Shenzhen),Sun Yat-sen University,Guangzhou 510006,China)
出处 《中国细胞生物学学报》 CAS CSCD 2019年第1期121-131,共11页 Chinese Journal of Cell Biology
基金 国家自然科学基金青年基金(批准号:81702750)资助的课题~~
关键词 单细胞技术 干细胞 组织修复 高通量筛选 药物研发 single-cell technologies stem cell tissue repair high-throughput screening drug discovery
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  • 1Wen L, Tang F. Reconstructing complex tissues from single-cell analyses. Cell 2014; 157:771–773.
  • 2Shapiro E, Biezuner T, Linnarsson S. Single-cell sequencing-based technologies will revolutionize whole-organism science. Nat Rev Genet 2013; 14:618–630.
  • 3Ramskold D, Luo S, Wang YC, et al. Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells. Nat Biotechnol 2012; 30:777–782.
  • 4Hashimshony T, Wagner F, Sher N, Yanai I. CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. Cell Rep 2012; 2:666–673.
  • 5Jaitin DA, Kenigsberg E, Keren-Shaul H, et al. Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 2014; 343:776–779.
  • 6Tang F, Barbacioru C, Wang Y, et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods 2009; 6:377–382.
  • 7Sasagawa Y, Nikaido I, Hayashi T, et al. Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity. Genome Biol 2013; 14:R31.
  • 8Islam S, Kjallquist U, Moliner A, et al. Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. Genome Res 2011; 21:1160–1167.
  • 9Yan L, Yang M, Guo H, et al. Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells. Nat Struct Mol Biol 2013; 20:1131–1139.
  • 10Dalerba P, Kalisky T, Sahoo D, et al. Single-cell dissection of transcriptional heterogeneity in human colon tumors. Nat Biotechnol 2011; 29:1120–1127.

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