Park Juhwan, Feng Michelle, Yang Jingbo, Shen Hanfei, Qin Zhiyuan, Guo Wei, Issadore David A
Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Department of Bio and Fermentation Convergence Technology, Kookmin University, Seoul 02707, Republic of Korea.
ACS Nano. 2025 May 13;19(18):17884-17899. doi: 10.1021/acsnano.5c04207. Epub 2025 May 4.
We have developed a platform for the multiplexed and ultrasensitive profiling of individual extracellular vesicles (EVs) directly in plasma, which we call GDEVA─Agarose microel-based igital single-molecule-single ssay. GDEVA achieves single-molecule sensitivity and moderate multiplexing (demonstrated 3-plex), and can achieve a throughput of ∼10 EVs per minute necessary to resolve EVs directly in human plasma when read out using flow cytometry. Our platform integrates a rolling circle amplification (RCA) immunoassay of EV surface proteins, which are cleaved from single EVs, and amplified within agarose microgels, followed by flow cytometry-based readout or imaging after fluorescence-activated cell sorting (FACS). It overcomes steric hindrance of RCA products, nonspecific binding of RCA templates, and the lack of quantitation of multiple proteins on EVs that have plagued earlier approaches. We evaluated the analytical capabilities of GDEVA through head-to-head comparison with conventional technology and demonstrated a ∼100× improvement in the limit of detection (LOD) of EV subpopulations. We evaluate GDEVA's potential in cancer immunology, by analyzing single EVs in plasma samples from patients with melanoma, where EV heterogeneity plays a critical role in disease progression and response to therapy. We demonstrate profiling of individual EVs for key immune markers PD-L1, CD155, and the melanoma marker TYRP-1, and showed that GDEVA can precisely quantify EVs, offering the resolution to detect rare EV subpopulations in complex clinical specimens.
我们开发了一个平台,用于直接在血浆中对单个细胞外囊泡(EV)进行多重超灵敏分析,我们将其称为GDEVA——基于琼脂糖微凝胶的数字单分子检测。GDEVA实现了单分子灵敏度和适度的多重分析(已证明可实现三重分析),并且当使用流式细胞术读出时,能够达到每分钟约10个EV的通量,这对于直接在人血浆中解析EV是必要的。我们的平台整合了对从单个EV上切割下来并在琼脂糖微凝胶内扩增的EV表面蛋白的滚环扩增(RCA)免疫分析,随后在荧光激活细胞分选(FACS)后通过基于流式细胞术的读出或成像进行分析。它克服了RCA产物的空间位阻、RCA模板的非特异性结合以及困扰早期方法的EV上多种蛋白质缺乏定量的问题。我们通过与传统技术的直接比较评估了GDEVA的分析能力,并证明了EV亚群检测限(LOD)提高了约100倍。我们通过分析来自黑色素瘤患者血浆样本中的单个EV来评估GDEVA在癌症免疫学中的潜力,其中EV异质性在疾病进展和对治疗的反应中起着关键作用。我们展示了对关键免疫标志物PD-L1、CD155和黑色素瘤标志物TYRP-1的单个EV分析,并表明GDEVA可以精确量化EV,提供在复杂临床样本中检测罕见EV亚群的分辨率。