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用于探索单细胞异质性的多表型外泌体分泌分析微流控平台。

Multi-Phenotypic Exosome Secretion Profiling Microfluidic Platform for Exploring Single-Cell Heterogeneity.

机构信息

Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266000, China.

Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250100, China.

出版信息

Small Methods. 2022 Sep;6(9):e2200717. doi: 10.1002/smtd.202200717. Epub 2022 Jul 28.

Abstract

Cellular phenotypic and functional heterogeneities have advanced cancer evolution and treatment resistance. Although exosome-bound proteins reflect cellular functions, single-cell exosomes are rarely profiled owing to the lack of effective platforms. Herein, the authors developed an integrated microfluidic platform consisting of a single-cell trapping chip and a spatially coded antibody barcode chip for the multiplexed outline of exosome secretion by single cells. Using this platform, five phenotypic exosomes of over 1 000 single cells are simultaneously profiled, in addition to inflammatory factor secretion from the same single cell. Also, a robust analysis workflow for single-cell secretion profiling is proposed to explore the intercellular heterogeneity, which integrated unsupervised clustering and linear clustering. When applied to the tumor cell lines of epithelial-origin and normal epithelial cell lines, the strategy identifies functionally heterogeneous subpopulations with unique secretion patterns. Notably, special functional cell subsets for unique phenotypic exosomes (HSP70 , EPCAM ) are found within ovarian tumor cells. The strategy proposed offers a new analysis approach for cellular differential exosome secretion at single-cell resolution using inflammatory factors, ultimately reinforcing the understanding of cell-to-cell heterogeneity and tumor landscape, and providing a valuable universal platform for single-cell biomarker exploration in biological and clinical research.

摘要

细胞表型和功能的异质性促进了癌症的演进和治疗耐药性。尽管细胞外囊泡结合蛋白反映了细胞的功能,但由于缺乏有效的平台,单细胞外囊泡很少被分析。在此,作者开发了一种集成微流控平台,包括单细胞捕获芯片和空间编码抗体条码芯片,用于对单细胞外泌体的分泌进行多重分析。使用该平台,可同时对 1000 多个单细胞的五种表型外泌体进行分析,还可对同一单细胞的炎症因子分泌进行分析。此外,还提出了一种稳健的单细胞分泌分析工作流程,用于探索细胞间异质性,该流程整合了无监督聚类和线性聚类。当将该策略应用于上皮来源的肿瘤细胞系和正常上皮细胞系时,可识别出具有独特分泌模式的功能异质亚群。值得注意的是,在卵巢肿瘤细胞中发现了具有独特表型外泌体(HSP70、EPCAM)的特殊功能细胞亚群。该策略提供了一种新的分析方法,可在单细胞分辨率下使用炎症因子对细胞的差异外泌体分泌进行分析,最终加强对细胞间异质性和肿瘤图谱的理解,并为生物和临床研究中的单细胞生物标志物探索提供了有价值的通用平台。

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