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肿瘤微环境中单细胞RNA测序与空间分辨转录组学的技术整合。

Technique integration of single-cell RNA sequencing with spatially resolved transcriptomics in the tumor microenvironment.

作者信息

Yan Hailan, Shi Jinghua, Dai Yi, Li Xiaoyan, Wu Yushi, Zhang Jing, Gu Zhiyue, Zhang Chenyu, Leng Jinhua

机构信息

Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan Dongcheng District, Beijing, 100730, China.

National Clinical Research Center for Obstetric & Gynecologic Diseases, No.1 Shuaifuyuan Dongcheng District, Beijing, 100730, China.

出版信息

Cancer Cell Int. 2022 Apr 19;22(1):155. doi: 10.1186/s12935-022-02580-4.

Abstract

BACKGROUND

The tumor microenvironment contributes to tumor initiation, growth, invasion, and metastasis. The tumor microenvironment is heterogeneous in cellular and acellular components, particularly structural features and their gene expression at the inter-and intra-tumor levels.

MAIN TEXT

Single-cell RNA sequencing profiles single-cell transcriptomes to reveal cell proportions and trajectories while spatial information is lacking. Spatially resolved transcriptomics redeems this lack with limited coverage or depth of transcripts. Hence, the integration of single-cell RNA sequencing and spatial data makes the best use of their strengths, having insights into exploring diverse tissue architectures and interactions in a complicated network. We review applications of integrating the two methods, especially in cellular components in the tumor microenvironment, showing each role in cancer initiation and progression, which provides clinical relevance in prognosis, optimal treatment, and potential therapeutic targets.

CONCLUSION

The integration of two approaches may break the bottlenecks in the spatial resolution of neighboring cell subpopulations in cancer, and help to describe the signaling circuitry about the intercommunication and its exact mechanisms in producing different types and malignant stages of tumors.

摘要

背景

肿瘤微环境促进肿瘤的起始、生长、侵袭和转移。肿瘤微环境在细胞和无细胞成分方面具有异质性,尤其是在肿瘤间和肿瘤内水平的结构特征及其基因表达。

正文

单细胞RNA测序可对单细胞转录组进行分析,以揭示细胞比例和轨迹,但缺乏空间信息。空间分辨转录组学弥补了这一不足,但其转录本覆盖范围或深度有限。因此,整合单细胞RNA测序和空间数据可充分发挥它们的优势,有助于深入探索复杂网络中多样的组织结构和相互作用。我们综述了整合这两种方法的应用,特别是在肿瘤微环境细胞成分中的应用,展示了它们在癌症起始和进展中的各自作用,这为预后、最佳治疗和潜在治疗靶点提供了临床相关性。

结论

两种方法的整合可能会突破癌症中相邻细胞亚群空间分辨率的瓶颈,并有助于描述关于肿瘤不同类型和恶性阶段中细胞间通讯及其确切机制的信号传导回路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e88/9020011/0bd3798b6fe0/12935_2022_2580_Fig1_HTML.jpg

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