Automated Microfluidic Platform for Single Spheroid Culture and Extracellular Vesicle Isolation: Application to Spheroid Transcriptomic Profiling

IF 12.1 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Small Pub Date : 2025-10-14 DOI:10.1002/smll.202508115
Marie Hut, Josiane Denis, Frédéric Bottausci, Myriam Cubizolles, Patricia Laurent, Joris Kaal, Mahfod Benessalah, François Boizot, Nadia Cherradi, Yves Fouillet, Vincent Agache
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引用次数: 0

Abstract

Extracellular vesicles (EVs) are key mediators of intercellular communication and carry molecular information that reflects the state of their cell of origin. 3D cell cultures more accurately reflect the in vivo microenvironment and the biogenesis of extracellular vesicles compared to 2D cultures. Despite these advantages, studying EVs in 3D systems such as spheroids remains technically challenging. Conventional EV isolation and characterization methods often require pooling multiple spheroids to obtain sufficient material, which masks the intrinsic heterogeneity between individual spheroids and limits applications in precision medicine. To overcome these challenges, this work develops an automated microfluidic platform capable of single‐spheroid culture, continuous secretion collection, and high‐efficiency EV isolation. The platform incorporates 200 nm filtration and immunomagnetic capture targeting CD63/CD81‐positive EVs, achieving a 60% recovery yield. Using adrenocortical carcinoma spheroids as a model, this work demonstrates that inhibiting β‐catenin signaling selectively reduces the levels of EV‐derived miR‐139‐5p and miR‐483‐5p, consistent with prior findings from 2D culture studies. This platform represents a groundbreaking approach to EV profiling at the single‐spheroid level, unlocking new opportunities for personalized medicine, drug discovery, and targeted therapies by enabling the analysis of cellular heterogeneity and scarce biological samples such as patient‐derived organoids.
用于单球体培养和细胞外囊泡分离的自动微流控平台:用于球体转录组分析
细胞外囊泡(EVs)是细胞间通讯的关键介质,携带反映其细胞起源状态的分子信息。与2D培养相比,3D细胞培养更准确地反映了体内微环境和细胞外囊泡的生物发生。尽管有这些优势,但在球体等3D系统中研究电动汽车在技术上仍然具有挑战性。传统的EV分离和表征方法通常需要汇集多个球体来获得足够的材料,这掩盖了单个球体之间的内在异质性,限制了在精准医学中的应用。为了克服这些挑战,本研究开发了一种自动化微流控平台,能够进行单球体培养、连续分泌物收集和高效EV分离。该平台结合了针对CD63/CD81阳性ev的200 nm过滤和免疫磁捕获,回收率达到60%。使用肾上腺皮质癌球体作为模型,本研究表明抑制β - catenin信号选择性地降低EV衍生的miR - 139 - 5p和miR - 483 - 5p的水平,与先前2D培养研究的结果一致。该平台代表了在单球体水平上进行EV分析的开创性方法,通过分析细胞异质性和稀缺的生物样本(如患者来源的类器官),为个性化医疗、药物发现和靶向治疗提供了新的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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