• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用平行高通量液滴数字分析,对黑色素瘤患者血浆中的 PD-L1+ 细胞外囊泡进行超灵敏定量分析。

Ultrasensitive quantification of PD-L1+ extracellular vesicles in melanoma patient plasma using a parallelized high throughput droplet digital assay.

机构信息

Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.

Department of Radiology, School of Medicine, Stanford University, Stanford, California, USA.

出版信息

Lab Chip. 2024 Jul 10;24(14):3403-3411. doi: 10.1039/d4lc00331d.

DOI:10.1039/d4lc00331d
PMID:38899443
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11235413/
Abstract

The expression of programmed death-ligand 1 (PD-L1) on extracellular vesicles (EVs) is an emerging biomarker for cancer, and has gained particular interest for its role mediating immunotherapy. However, precise quantification of PD-L1+ EVs in clinical samples remains challenging due to their sparse concentration and the enormity of the number of background EVs in human plasma, limiting applicability of conventional approaches. In this study, we develop a high-throughput droplet-based extracellular vesicle analysis (DEVA) assay for ultrasensitive quantification of EVs in plasma that are dual positive for both PD-L1 and tetraspanin (CD81) known to be expressed on EVs. We achieve a performance that significantly surpasses conventional approaches, demonstrating 360× enhancement in the limit of detection (LOD) and a 750× improvement in the limit of quantitation (LOQ) compared to conventional plate enzyme-linked immunoassay (ELISA). Underlying this performance is DEVA's high throughput analysis of individual EVs one at a time and the high specificity to targeted EVs background. We achieve a 0.006% false positive rate per droplet by leveraging avidity effects that arise from EVs having multiple copies of their target ligands on their surface. We use parallelized optofluidics to rapidly process 10 million droplets per minute, ∼100× greater than conventional approaches. A validation study on a cohort of 14 patients with melanoma confirms DEVA's ability to match conventional ELISA measurements with reduced plasma sample volume and without the need for prior EV purification. This proof-of-concept study demonstrates DEVA's potential for clinical utility to enhance prognosis as well as guide treatment for cancer.

摘要

程序性死亡配体 1(PD-L1)在细胞外囊泡(EVs)上的表达是癌症的一种新兴生物标志物,其在介导免疫疗法方面的作用引起了特别关注。然而,由于其浓度稀疏,以及人血浆中背景 EV 的数量巨大,临床样本中 PD-L1+EV 的精确定量仍然具有挑战性,这限制了常规方法的适用性。在这项研究中,我们开发了一种基于液滴的高通量细胞外囊泡分析(DEVA)测定法,用于超灵敏定量双阳性的 EVs,这些 EVs 同时表达已知在 EV 上表达的 PD-L1 和四跨膜蛋白(CD81)。我们实现了显著优于常规方法的性能,与传统的平板酶联免疫吸附测定(ELISA)相比,检测限(LOD)提高了 360 倍,定量限(LOQ)提高了 750 倍。这种性能的基础是 DEVA 对单个 EV 的高通量分析,以及对靶向 EV 的高特异性和背景。我们通过利用 EV 表面上存在多个靶配体的亲合力效应,实现了每个液滴 0.006%的假阳性率。我们使用并行的光流控技术每分钟快速处理 1000 万个液滴,比传统方法快 100 倍。对 14 名黑色素瘤患者的队列进行的验证研究证实了 DEVA 的能力,它可以与传统的 ELISA 测量相匹配,同时减少血浆样本量,且无需事先进行 EV 纯化。这项概念验证研究表明,DEVA 具有临床应用的潜力,可以增强预后,并指导癌症的治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/11235413/982027ff8cd9/d4lc00331d-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/11235413/7f48ed4be86f/d4lc00331d-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/11235413/fdaf50366ea7/d4lc00331d-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/11235413/982027ff8cd9/d4lc00331d-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/11235413/7f48ed4be86f/d4lc00331d-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/11235413/fdaf50366ea7/d4lc00331d-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/11235413/982027ff8cd9/d4lc00331d-f3.jpg

相似文献

1
Ultrasensitive quantification of PD-L1+ extracellular vesicles in melanoma patient plasma using a parallelized high throughput droplet digital assay.使用平行高通量液滴数字分析,对黑色素瘤患者血浆中的 PD-L1+ 细胞外囊泡进行超灵敏定量分析。
Lab Chip. 2024 Jul 10;24(14):3403-3411. doi: 10.1039/d4lc00331d.
2
Circulating extracellular vesicles expressing PD1 and PD-L1 predict response and mediate resistance to checkpoint inhibitors immunotherapy in metastatic melanoma.循环细胞外囊泡表达 PD1 和 PD-L1 可预测转移性黑色素瘤对检查点抑制剂免疫治疗的反应并介导耐药性。
Mol Cancer. 2022 Jan 18;21(1):20. doi: 10.1186/s12943-021-01490-9.
3
Predictive Analysis in Oral Cancer Immunotherapy: Profiling Dual PD-L1-Positive Extracellular Vesicle Subtypes with Step-Wedge Microfluidic Chips.口腔癌免疫治疗中的预测分析:使用阶跃楔形微流控芯片对双 PD-L1 阳性细胞外囊泡亚型进行分析。
Anal Chem. 2024 Sep 17;96(37):14980-14988. doi: 10.1021/acs.analchem.4c03101. Epub 2024 Sep 5.
4
Localized Imaging of Programmed Death-Ligand 1 on Individual Tumor-Derived Extracellular Vesicles for Prediction of Immunotherapy Response.基于肿瘤细胞衍生细胞外囊泡程序性死亡配体 1 的定位成像预测免疫治疗反应。
ACS Nano. 2023 Oct 24;17(20):20120-20134. doi: 10.1021/acsnano.3c05799. Epub 2023 Oct 11.
5
Rapid Capturing and Chemiluminescent Sensing of Programmed Death Ligand-1 Expressing Extracellular Vesicles.快速捕获及化学发光法检测程序性死亡配体-1 表达的细胞外囊泡。
Biosensors (Basel). 2022 Apr 28;12(5):281. doi: 10.3390/bios12050281.
6
Ultrasensitive Single Extracellular Vesicle Detection Using High Throughput Droplet Digital Enzyme-Linked Immunosorbent Assay.基于高通量液滴数字酶联免疫吸附测定的超高灵敏度单细胞外囊泡检测。
Nano Lett. 2022 Jun 8;22(11):4315-4324. doi: 10.1021/acs.nanolett.2c00274. Epub 2022 May 19.
7
Enrichment of circulating tumor-derived extracellular vesicles from human plasma.从人血浆中富集循环肿瘤衍生的细胞外囊泡。
J Immunol Methods. 2021 Mar;490:112936. doi: 10.1016/j.jim.2020.112936. Epub 2020 Nov 24.
8
EV PD-L1 is Correlated With Clinical Features and Contributes to T Cell Suppression in Pediatric Thyroid Cancer.EV PD-L1 与临床特征相关,并有助于抑制小儿甲状腺癌中的 T 细胞。
J Clin Endocrinol Metab. 2020 Aug 1;105(8). doi: 10.1210/clinem/dgaa309.
9
Accumulation of T-cell-suppressive PD-L1 extracellular vesicles is associated with GvHD and might impact GvL efficacy.T 细胞抑制性 PD-L1 细胞外囊泡的积累与 GvHD 相关,并可能影响 GvL 疗效。
J Immunother Cancer. 2023 Mar;11(3). doi: 10.1136/jitc-2022-006362.
10
Dual-Recognition-Mediated Autocatalytic Amplification Assay for the Subpopulations of PD-L1 Positive Extracellular Vesicle.基于双重识别介导的自动催化扩增检测方法用于 PD-L1 阳性细胞外囊泡亚群的分析。
Anal Chem. 2024 Jun 11;96(23):9585-9592. doi: 10.1021/acs.analchem.4c01111. Epub 2024 May 30.

引用本文的文献

1
miRNA panel from HER2+ and CD24+ plasma extracellular vesicle subpopulations as biomarkers of early-stage breast cancer.来自HER2+和CD24+血浆细胞外囊泡亚群的miRNA检测作为早期乳腺癌的生物标志物
Breast Cancer Res. 2025 May 22;27(1):90. doi: 10.1186/s13058-025-02029-2.
2
Combining time domain modulation optofluidics and high dynamic range imaging for multiplexed, high throughput digital droplet assays.结合时域调制光流体技术和高动态范围成像技术进行多重、高通量数字液滴分析。
Microsyst Nanoeng. 2025 May 16;11(1):93. doi: 10.1038/s41378-025-00918-2.

本文引用的文献

1
Microfluidic Device-Based Detection of PD-L1-Positive Small Extracellular Vesicles and Its Application for Tumor Monitoring.基于微流控装置的 PD-L1 阳性小细胞外囊泡检测及其在肿瘤监测中的应用。
Anal Chem. 2024 Feb 13;96(6):2658-2665. doi: 10.1021/acs.analchem.3c05418. Epub 2024 Feb 4.
2
Double Digital Assay for Single Extracellular Vesicle and Single Molecule Detection.双数字检测法用于单细胞外囊泡和单分子检测。
Adv Sci (Weinh). 2023 Nov;10(33):e2303619. doi: 10.1002/advs.202303619. Epub 2023 Oct 6.
3
MoS-Plasmonic Nanocavities for Raman Spectra of Single Extracellular Vesicles Reveal Molecular Progression in Glioblastoma.
基于 MoS 的等离子体纳米腔实现单个细胞外囊泡的拉曼光谱,揭示胶质母细胞瘤的分子进展。
ACS Nano. 2023 Jul 11;17(13):12052-12071. doi: 10.1021/acsnano.2c09222. Epub 2023 Jun 27.
4
Tumor-Derived Small Extracellular Vesicles Inhibit the Efficacy of CAR T Cells against Solid Tumors.肿瘤来源的小细胞外囊泡抑制 CAR T 细胞对实体瘤的疗效。
Cancer Res. 2023 Aug 15;83(16):2790-2806. doi: 10.1158/0008-5472.CAN-22-2220.
5
Future of Digital Assays to Resolve Clinical Heterogeneity of Single Extracellular Vesicles.单细胞外囊泡临床异质性解析的数字检测技术的未来。
ACS Nano. 2022 Aug 23;16(8):11619-11645. doi: 10.1021/acsnano.2c04337. Epub 2022 Jul 29.
6
Ultrasensitive Single Extracellular Vesicle Detection Using High Throughput Droplet Digital Enzyme-Linked Immunosorbent Assay.基于高通量液滴数字酶联免疫吸附测定的超高灵敏度单细胞外囊泡检测。
Nano Lett. 2022 Jun 8;22(11):4315-4324. doi: 10.1021/acs.nanolett.2c00274. Epub 2022 May 19.
7
Colorectal Cancer-Derived Small Extracellular Vesicles Promote Tumor Immune Evasion by Upregulating PD-L1 Expression in Tumor-Associated Macrophages.结直肠癌来源的小细胞外囊泡通过上调肿瘤相关巨噬细胞中 PD-L1 的表达促进肿瘤免疫逃逸。
Adv Sci (Weinh). 2022 Jan 17;9(9):2102620. doi: 10.1002/advs.202102620. eCollection 2022 Mar.
8
Circulating extracellular vesicles expressing PD1 and PD-L1 predict response and mediate resistance to checkpoint inhibitors immunotherapy in metastatic melanoma.循环细胞外囊泡表达 PD1 和 PD-L1 可预测转移性黑色素瘤对检查点抑制剂免疫治疗的反应并介导耐药性。
Mol Cancer. 2022 Jan 18;21(1):20. doi: 10.1186/s12943-021-01490-9.
9
Specificities of exosome versus small ectosome secretion revealed by live intracellular tracking of CD63 and CD9.通过活细胞内追踪 CD63 和 CD9 揭示外泌体与小细胞外囊泡分泌的特异性。
Nat Commun. 2021 Jul 19;12(1):4389. doi: 10.1038/s41467-021-24384-2.
10
Extracellular vesicles in cancer diagnostics and therapeutics.癌症诊断与治疗中的细胞外囊泡
Pharmacol Ther. 2021 Jul;223:107806. doi: 10.1016/j.pharmthera.2021.107806. Epub 2021 Jan 17.