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单细胞测序在肿瘤微环境研究中的应用。

Application of single-cell sequencing to the research of tumor microenvironment.

机构信息

Department of Human Cell Biology and Genetics, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Scienece and Technology, Shenzhen, China.

出版信息

Front Immunol. 2023 Oct 27;14:1285540. doi: 10.3389/fimmu.2023.1285540. eCollection 2023.

DOI:10.3389/fimmu.2023.1285540
PMID:37965341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10641410/
Abstract

Single-cell sequencing is a technique for detecting and analyzing genomes, transcriptomes, and epigenomes at the single-cell level, which can detect cellular heterogeneity lost in conventional sequencing hybrid samples, and it has revolutionized our understanding of the genetic heterogeneity and complexity of tumor progression. Moreover, the tumor microenvironment (TME) plays a crucial role in the formation, development and response to treatment of tumors. The application of single-cell sequencing has ushered in a new age for the TME analysis, revealing not only the blueprint of the pan-cancer immune microenvironment, but also the heterogeneity and differentiation routes of immune cells, as well as predicting tumor prognosis. Thus, the combination of single-cell sequencing and the TME analysis provides a unique opportunity to unravel the molecular mechanisms underlying tumor development and progression. In this review, we summarize the recent advances in single-cell sequencing and the TME analysis, highlighting their potential applications in cancer research and clinical translation.

摘要

单细胞测序是一种在单细胞水平上检测和分析基因组、转录组和表观基因组的技术,它可以检测到常规测序混合样本中丢失的细胞异质性,从而彻底改变了我们对肿瘤进展中遗传异质性和复杂性的认识。此外,肿瘤微环境(TME)在肿瘤的形成、发展和对治疗的反应中起着至关重要的作用。单细胞测序的应用为 TME 分析带来了一个新时代,不仅揭示了泛癌免疫微环境的蓝图,还揭示了免疫细胞的异质性和分化途径,并预测了肿瘤的预后。因此,单细胞测序和 TME 分析的结合为揭示肿瘤发生和发展的分子机制提供了一个独特的机会。在这篇综述中,我们总结了单细胞测序和 TME 分析的最新进展,强调了它们在癌症研究和临床转化中的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/46048350cfb9/fimmu-14-1285540-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/66b144e0c8ed/fimmu-14-1285540-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/ef076b43fd98/fimmu-14-1285540-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/c512255cd651/fimmu-14-1285540-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/33b19c59d607/fimmu-14-1285540-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/fd7c0f8d2527/fimmu-14-1285540-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/46048350cfb9/fimmu-14-1285540-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/66b144e0c8ed/fimmu-14-1285540-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/efe46d5e9d29/fimmu-14-1285540-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/ef076b43fd98/fimmu-14-1285540-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/c512255cd651/fimmu-14-1285540-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/33b19c59d607/fimmu-14-1285540-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/fd7c0f8d2527/fimmu-14-1285540-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/367b/10641410/46048350cfb9/fimmu-14-1285540-g007.jpg

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