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用于免疫表型分析和定量血浆中细胞外囊泡的纳米级流式细胞术。

Nanoscale flow cytometry for immunophenotyping and quantitating extracellular vesicles in blood plasma.

作者信息

Salmond Nikki, Khanna Karan, Owen Gethin R, Williams Karla C

机构信息

Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, V6T1Z3, Canada.

出版信息

Nanoscale. 2021 Jan 28;13(3):2012-2025. doi: 10.1039/d0nr05525e.

Abstract

Extracellular vesicles (EVs) are lipid membrane enclosed nano-sized structures released into the extracellular environment by all cell types. EV constituents include proteins, lipids and nucleic acids that reflect the cell from which they originated. The molecular profile of cancer cells is distinct as compared to healthy cells of the same tissue type, and this distinct profile should be reflected by the EVs they release. This makes EVs desirable candidates for blood-based biopsy diagnosis of cancer. EVs can be time consuming to isolate therefore, a technology that can analyze EVs in complex biological samples in a high throughput manner is in demand. Here nanoscale flow cytometry is used to analyze EVs in whole, unpurified, plasma samples from healthy individuals and breast cancer patients. A known breast cancer marker, mammaglobin-a, was evaluated as a potential candidate for expression on EVs and increased levels in breast cancer. Mammaglobin-a particles were abundantly detected in plasma by nanoscale flow cytometry but only a portion of these particles were validated as bona fide EVs. EVs could be distinguish and characterized from small protein clusters and platelets based on size, marker composition, and detergent treatment. Mammaglobin-a positive EVs were characterized and found to be CD42a/CD41-positive platelet EVs, and the number of these EVs present was dependent upon plasma preparation protocol. Different plasma preparation protocols influenced the total number of platelet EVs and mammaglobin-a was found to associate with lipid membranes in plasma. When comparing plasma samples prepared by the same protocol, mammaglobin-a positive EVs were more abundant in estrogen receptor (ER) positive as compared to ER negative breast cancer patient plasma samples. This study demonstrates the capabilities of nanoscale flow cytometry for EV and small particle analysis in whole, unpurified, plasma samples, and highlights important technical challenges that need to be addressed when developing this technology as a liquid biopsy platform.

摘要

细胞外囊泡(EVs)是由所有细胞类型释放到细胞外环境中的脂质膜包裹的纳米级结构。EVs的成分包括蛋白质、脂质和核酸,这些成分反映了它们所起源的细胞。与相同组织类型的健康细胞相比,癌细胞的分子特征是不同的,而这种不同的特征应该反映在它们释放的EVs中。这使得EVs成为基于血液的癌症活检诊断的理想候选物。EVs的分离可能很耗时,因此,需要一种能够以高通量方式分析复杂生物样品中EVs的技术。在这里,纳米级流式细胞术用于分析来自健康个体和乳腺癌患者的全血、未纯化血浆样品中的EVs。一种已知的乳腺癌标志物乳腺珠蛋白-a被评估为EVs上表达的潜在候选物以及乳腺癌中其水平升高的情况。通过纳米级流式细胞术在血浆中大量检测到乳腺珠蛋白-a颗粒,但这些颗粒中只有一部分被确认为真正的EVs。基于大小、标志物组成和去污剂处理,可以将EVs与小蛋白簇和血小板区分开来并进行表征。对乳腺珠蛋白-a阳性的EVs进行了表征,发现它们是CD42a/CD41阳性的血小板EVs,并且这些EVs的数量取决于血浆制备方案。不同的血浆制备方案影响血小板EVs的总数,并且发现乳腺珠蛋白-a与血浆中的脂质膜相关。当比较通过相同方案制备的血浆样品时,与雌激素受体(ER)阴性的乳腺癌患者血浆样品相比,ER阳性的血浆样品中乳腺珠蛋白-a阳性的EVs更为丰富。这项研究展示了纳米级流式细胞术在全血、未纯化血浆样品中进行EVs和小颗粒分析的能力,并突出了将该技术开发为液体活检平台时需要解决的重要技术挑战。

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