设计一个可调的微模式阵列分析,以分类单个细胞外囊泡和颗粒,以原位检测RNA和蛋白质

IF 15.5 1区 医学 Q1 CELL BIOLOGY
Jingjing Zhang, Xilal Y. Rima, Xinyu Wang, Luong T. H. Nguyen, Kristin Huntoon, Yifan Ma, Paola Loreto Palacio, Kim Truc Nguyen, Karunya Albert, Minh-Dao Duong-Thi, Nicole Walters, Kwang Joo Kwak, Min Jin Yoon, Hong Li, Jacob Doon-Ralls, Colin L. Hisey, Daeyong Lee, Yifan Wang, Jonghoon Ha, Kelsey Scherler, Shannon Fallen, Inyoul Lee, Andre F. Palmer, Wen Jiang, Setty M. Magaña, Kai Wang, Betty Y. S. Kim, L. James Lee, Eduardo Reátegui
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引用次数: 1

摘要

细胞外囊泡(EVs)的分子异质性和物理上相似的颗粒(如脂蛋白(LPs))的共分离,混淆并限制了EVs散装生物标志物表征的敏感性。在此,我们提出了一种单ev和颗粒(siEVP)蛋白质和RNA测定(siEVPPRA),以同时检测ev和LPs亚群中的mrna, mirna和蛋白质。siEVPPRA通过阳性免疫选择将颗粒固定并分选到微模式上,并原位聚焦生物分子信号。通过在单颗粒分辨率下检测evp, siEVPPRA的灵敏度优于RNA和蛋白质的批量分析基准分析。的特异性RNA检测复杂biofluids, EVs从各种神经胶质瘤细胞系是处理小RNA序列,即两个mrna和两个microrna与多形性胶质母细胞瘤(GBM)选择交叉验证。尽管血清中存在ev - lp共分离株,siEVPPRA在GBM患者sievp中检测到GBM相关的囊泡RNA谱。siEVPPRA有效地检查囊内、囊间和颗粒间的异质性,具有诊断前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Engineering a tunable micropattern-array assay to sort single extracellular vesicles and particles to detect RNA and protein in situ

Engineering a tunable micropattern-array assay to sort single extracellular vesicles and particles to detect RNA and protein in situ

Engineering a tunable micropattern-array assay to sort single extracellular vesicles and particles to detect RNA and protein in situ

Engineering a tunable micropattern-array assay to sort single extracellular vesicles and particles to detect RNA and protein in situ

Engineering a tunable micropattern-array assay to sort single extracellular vesicles and particles to detect RNA and protein in situ

The molecular heterogeneity of extracellular vesicles (EVs) and the co-isolation of physically similar particles, such as lipoproteins (LPs), confounds and limits the sensitivity of EV bulk biomarker characterization. Herein, we present a single-EV and particle (siEVP) protein and RNA assay (siEVPPRA) to simultaneously detect mRNAs, miRNAs, and proteins in subpopulations of EVs and LPs. The siEVPPRA immobilizes and sorts particles via positive immunoselection onto micropatterns and focuses biomolecular signals in situ. By detecting EVPs at a single-particle resolution, the siEVPPRA outperformed the sensitivities of bulk-analysis benchmark assays for RNA and protein. To assess the specificity of RNA detection in complex biofluids, EVs from various glioma cell lines were processed with small RNA sequencing, whereby two mRNAs and two miRNAs associated with glioblastoma multiforme (GBM) were chosen for cross-validation. Despite the presence of single-EV-LP co-isolates in serum, the siEVPPRA detected GBM-associated vesicular RNA profiles in GBM patient siEVPs. The siEVPPRA effectively examines intravesicular, intervesicular, and interparticle heterogeneity with diagnostic promise.

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来源期刊
Journal of Extracellular Vesicles
Journal of Extracellular Vesicles Biochemistry, Genetics and Molecular Biology-Cell Biology
CiteScore
27.30
自引率
4.40%
发文量
115
审稿时长
12 weeks
期刊介绍: The Journal of Extracellular Vesicles is an open access research publication that focuses on extracellular vesicles, including microvesicles, exosomes, ectosomes, and apoptotic bodies. It serves as the official journal of the International Society for Extracellular Vesicles and aims to facilitate the exchange of data, ideas, and information pertaining to the chemistry, biology, and applications of extracellular vesicles. The journal covers various aspects such as the cellular and molecular mechanisms of extracellular vesicles biogenesis, technological advancements in their isolation, quantification, and characterization, the role and function of extracellular vesicles in biology, stem cell-derived extracellular vesicles and their biology, as well as the application of extracellular vesicles for pharmacological, immunological, or genetic therapies. The Journal of Extracellular Vesicles is widely recognized and indexed by numerous services, including Biological Abstracts, BIOSIS Previews, Chemical Abstracts Service (CAS), Current Contents/Life Sciences, Directory of Open Access Journals (DOAJ), Journal Citation Reports/Science Edition, Google Scholar, ProQuest Natural Science Collection, ProQuest SciTech Collection, SciTech Premium Collection, PubMed Central/PubMed, Science Citation Index Expanded, ScienceOpen, and Scopus.
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