Park Juhwan, Feng Michelle, Yang Jingbo, Shen Hanfei, Qin Zhiyuan, Guo Wei, Issadore David A
bioRxiv. 2024 Nov 2:2024.10.31.621423. doi: 10.1101/2024.10.31.621423.
We have developed a platform for the high-throughput, multiplexed, and ultra-sensitive profiling of individual extracellular vesicles (EVs) directly in plasma, which we call BDEVS - Agarose ead-based igital Single Molecule-Single orting. Unlike conventional approaches, BDEVS achieves single molecule sensitivity and moderate multiplexing (demonstrated 3-plex) without sacrificing the throughput (processing ten thousand of EVs per minute) necessary to resolve EVs directly in human plasma. Our platform integrates rolling circle amplification (RCA) of EV surface proteins, which are cleaved from single EVs, and amplified within agarose droplets, followed by flow cytometry-based readout and sorting, overcoming steric hindrance, non-specific binding, and the lack of quantitation of multiple proteins on EVs that have plagued earlier approaches. We evaluated the analytical capabilities of BDEVS through head-to-head comparison with gold-standard technologies, and demonstrated a ∼100x improvement in the limit of detection of EV subpopulations. We demonstrate the high throughput (∼100k beads / minute) profiling of individual EVs for key immune markers PD-L1, CD155, and the melanoma tumor marker TYRP-1, and showed that BDEVS can precisely quantify and sort EVs, offering unprecedented resolution for analyzing tumor-immune interactions and detecting rare EV subpopulations in complex clinical specimens. We demonstrate BDEVS's potential as a transformative tool for EV-based diagnostics and therapeutic monitoring in the context of cancer immunology by analyzing plasma samples from patients with melanoma, where EV heterogeneity plays a critical role in disease progression and response to therapy.
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)进行高通量、多重和超灵敏分析,我们将其称为BDEVS——基于琼脂糖珠的数字单分子分选技术。与传统方法不同,BDEVS在不牺牲直接在人血浆中解析EV所需通量(每分钟处理数万个EV)的情况下,实现了单分子灵敏度和适度多重分析(已证明可实现3重分析)。我们的平台整合了从单个EV上切割下来并在琼脂糖液滴中扩增的EV表面蛋白的滚环扩增(RCA),随后基于流式细胞术进行读出和分选,克服了空间位阻、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分析的问题。我们通过与金标准技术进行直接比较评估了BDEVS的分析能力,并证明在EV亚群检测限方面有大约100倍的提升。我们展示了对关键免疫标志物PD-L1、CD155和黑色素瘤肿瘤标志物TYRP-1的单个EV的高通量(约100k个珠子/分钟)分析,并表明BDEVS能够精确量化和分选EV,为分析肿瘤-免疫相互作用以及检测复杂临床样本中的罕见EV亚群提供了前所未有的分辨率。通过分析黑色素瘤患者的血浆样本,我们证明了BDEVS作为癌症免疫学中基于EV的诊断和治疗监测的变革性工具的潜力,其中EV的异质性在疾病进展和对治疗的反应中起着关键作用。