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癌症中的单细胞测序:免疫基因组学和多组学工具的最新应用

Single-Cell Ssequencing in Cancer: Recent Applications to Immunogenomics and Multi-omics Tools.

作者信息

Sierant Michael C, Choi Jungmin

机构信息

Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA.

Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY 10065, USA.

出版信息

Genomics Inform. 2018 Dec;16(4):e17. doi: 10.5808/GI.2018.16.4.e17. Epub 2018 Dec 28.

Abstract

Tumor heterogeneity, the cellular mosaic of multiple lineages arising from the process of clonal evolution, has continued to thwart multi-omics analyses using traditional bulk sequencing methods. The application of single-cell sequencing, in concert with existing genomics methods, has enabled high-resolution interrogation of the genome, transcriptome, epigenome, and proteome. Applied to cancers, these single-cell multi-omics methods bypass previous limitations on data resolution and have enabled a more nuanced understanding of the evolutionary dynamics of tumor progression, immune evasion, metastasis, and treatment resistance. This review details the growing number of novel single-cell multi-omics methods applied to tumors and further discusses recent discoveries emerging from these approaches, especially in regard to immunotherapy.

摘要

肿瘤异质性是克隆进化过程中产生的多种细胞谱系的细胞镶嵌体,它一直阻碍着使用传统批量测序方法进行的多组学分析。单细胞测序与现有基因组学方法相结合,能够对基因组、转录组、表观基因组和蛋白质组进行高分辨率的研究。应用于癌症时,这些单细胞多组学方法克服了以往数据分辨率的限制,使人们能够更细致地了解肿瘤进展、免疫逃逸、转移和治疗耐药性的进化动态。本文详细介绍了越来越多应用于肿瘤的新型单细胞多组学方法,并进一步讨论了这些方法最近的发现,特别是在免疫治疗方面。

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