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双数字检测法用于单细胞外囊泡和单分子检测。

Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection.

机构信息

Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.

出版信息

Adv Sci (Weinh). 2023 Nov;10(33):e2303619. doi: 10.1002/advs.202303619. Epub 2023 Oct 6.

DOI:10.1002/advs.202303619
PMID:37802976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10667851/
Abstract

Extracellular vesicles (EVs) have emerged as a promising source of biomarkers for disease diagnosis. However, current diagnostic methods for EVs present formidable challenges, given the low expression levels of biomarkers carried by EV samples, as well as their complex physical and biological properties. Herein, a highly sensitive double digital assay is developed that allows for the absolute quantification of individual molecules from a single EV. Because the relative abundance of proteins is low for a single EV, tyramide signal amplification (TSA) is integrated to increase the fluorescent signal readout for evaluation. With the integrative microfluidic technology, the technology's ability to compartmentalize single EVs is successfully demonstrated, proving the technology's digital partitioning capacity. Then the device is applied to detect single PD-L1 proteins from single EVs derived from a melanoma cell line and it is discovered that there are ≈2.7 molecules expressed per EV, demonstrating the applicability of the system for profiling important prognostic and diagnostic cancer biomarkers for therapy response, metastatic status, and tumor progression. The ability to accurately quantify protein molecules of rare abundance from individual EVs will shed light on the understanding of EV heterogeneity and discovery of EV subtypes as new biomarkers.

摘要

细胞外囊泡 (EVs) 已成为疾病诊断有前途的生物标志物来源。然而,由于 EV 样本中携带的生物标志物表达水平低,以及其复杂的物理和生物学特性,目前 EV 的诊断方法仍面临巨大挑战。本文开发了一种高灵敏度的双数字检测方法,可以对单个 EV 中的单个分子进行绝对定量。由于单个 EV 中的蛋白质相对丰度较低,因此整合了酪胺信号放大 (TSA) 来增加荧光信号读取以进行评估。通过集成微流控技术,成功证明了该技术对单个 EV 进行分区的能力,证明了该技术的数字分区能力。然后将该装置应用于检测源自黑素瘤细胞系的单个 EV 中的单个 PD-L1 蛋白,并发现每个 EV 中表达的 ≈2.7 个分子,证明了该系统在分析对治疗反应、转移状态和肿瘤进展有重要预后和诊断价值的癌症生物标志物的适用性。从单个 EV 中准确定量稀有丰度的蛋白质分子的能力将有助于深入了解 EV 的异质性和发现 EV 亚型作为新的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/2ea07210a7df/ADVS-10-2303619-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/5416f26af46a/ADVS-10-2303619-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/52ee6129ee76/ADVS-10-2303619-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/fe416f690603/ADVS-10-2303619-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/c8f58227aca2/ADVS-10-2303619-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/2ea07210a7df/ADVS-10-2303619-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/5416f26af46a/ADVS-10-2303619-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/52ee6129ee76/ADVS-10-2303619-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/fe416f690603/ADVS-10-2303619-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/c8f58227aca2/ADVS-10-2303619-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4190/10667851/2ea07210a7df/ADVS-10-2303619-g003.jpg

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