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通过细胞外蛋白质识别流式细胞术(EPIC)对3D微环境中局部新生蛋白质沉积进行高通量单细胞分析。

High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular Protein Identification Cytometry (EPIC).

作者信息

Meteling Marieke, Johnbosco Castro, Wolfel Alexis, Conceição Francisco, Govindaraj Kannan, Moreira Teixeira Liliana, Leijten Jeroen

机构信息

Leijten Laboratory, Department of Developmental Bioengineering, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.

Department of Advanced Organ bioengineering and Therapeutics, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.

出版信息

Adv Mater. 2025 Feb;37(6):e2415981. doi: 10.1002/adma.202415981. Epub 2024 Dec 4.

Abstract

Extracellular matrix (ECM) guides cell behavior and tissue fate. Cell populations are notoriously heterogeneous leading to large variations in cell behavior at the single-cell level. Although insights into population heterogeneity are valuable for fundamental biology, regenerative medicine, and drug testing, current ECM analysis techniques only provide either averaged population-level data or single-cell data from a limited number of cells. Here, extracellular protein identification cytometry (EPIC) is presented as a novel platform technology that enables high-throughput measurements of local nascent protein deposition at single-cell level. Specifically, human primary chondrocytes are microfluidically encapsulated in enzymatically crosslinked microgels of 16 picoliter at kHz rates, forming large libraries of discrete 3D single-cell microniches in which ECM can be deposited. ECM proteins are labeled using fluorescence immunostaining to allow for nondestructive analysis via flow cytometry. This approach reveals population heterogeneity in matrix deposition at unprecedented throughput, allowing for the identification and fluorescent activated cell sorting-mediated isolation of cellular subpopulations. Additionally, it is demonstrated that inclusion of a second cell into microgels allows for studying the effect of cell-cell contact on matrix deposition. In summary, EPIC enables high-throughput single-cell analysis of nascent proteins in 3D microenvironments, which is anticipated to advance fundamental knowledge and tissue engineering applications.

摘要

细胞外基质(ECM)引导细胞行为和组织命运。细胞群体具有显著的异质性,导致单细胞水平的细胞行为存在很大差异。尽管对群体异质性的深入了解对于基础生物学、再生医学和药物测试很有价值,但目前的ECM分析技术只能提供平均的群体水平数据或来自有限数量细胞的单细胞数据。在此,细胞外蛋白鉴定流式细胞术(EPIC)作为一种新型平台技术被提出,它能够在单细胞水平上对局部新生蛋白沉积进行高通量测量。具体而言,人类原代软骨细胞以千赫兹速率通过微流控技术封装在16皮升的酶交联微凝胶中,形成大量离散的3D单细胞微环境文库,ECM可在其中沉积。使用荧光免疫染色对ECM蛋白进行标记,以便通过流式细胞术进行非破坏性分析。这种方法以前所未有的通量揭示了基质沉积中的群体异质性,从而能够识别细胞亚群并通过荧光激活细胞分选介导进行分离。此外,研究表明将第二个细胞纳入微凝胶中可以研究细胞间接触对基质沉积的影响。总之,EPIC能够对3D微环境中的新生蛋白进行高通量单细胞分析,有望推动基础知识和组织工程应用的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7965/11817916/6bdce76edbb8/ADMA-37-2415981-g001.jpg

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