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采用基于普朗尼克嵌段共聚物的富集方法对血浆细胞外囊泡进行分析,揭示了与乳腺癌侵袭、转移和浸润相关的特征。

Profiling plasma extracellular vesicle by pluronic block-copolymer based enrichment method unveils features associated with breast cancer aggression, metastasis and invasion.

作者信息

Zhong Zhenyu, Rosenow Matthew, Xiao Nick, Spetzler David

机构信息

Caris Life Sciences, Phoenix, AZ, USA.

Molecular and Cellular Biology Graduate Program, Arizona State University, Tempe, AZ, USA.

出版信息

J Extracell Vesicles. 2018 Apr 5;7(1):1458574. doi: 10.1080/20013078.2018.1458574. eCollection 2018.

Abstract

Extracellular vesicle (EV)-based liquid biopsies have been proposed to be a readily obtainable biological substrate recently for both profiling and diagnostics purposes. Development of a fast and reliable preparation protocol to enrich such small particles could accelerate the discovery of informative, disease-related biomarkers. Though multiple EV enrichment protocols are available, in terms of efficiency, reproducibility and simplicity, precipitation-based methods are most amenable to studies with large numbers of subjects. However, the selectivity of the precipitation becomes critical. Here, we present a simple plasma EV enrichment protocol based on pluronic block copolymer. The enriched plasma EV was able to be verified by multiple platforms. Our results showed that the particles enriched from plasma by the copolymer were EV size vesicles with membrane structure; proteomic profiling showed that EV-related proteins were significantly enriched, while high-abundant plasma proteins were significantly reduced in comparison to other precipitation-based enrichment methods. Next-generation sequencing confirmed the existence of various RNA species that have been observed in EVs from previous studies. Small RNA sequencing showed enriched species compared to the corresponding plasma. Moreover, plasma EVs enriched from 20 advanced breast cancer patients and 20 age-matched non-cancer controls were profiled by semi-quantitative mass spectrometry. Protein features were further screened by EV proteomic profiles generated from four breast cancer cell lines, and then selected in cross-validation models. A total of 60 protein features that highly contributed in model prediction were identified. Interestingly, a large portion of these features were associated with breast cancer aggression, metastasis as well as invasion, consistent with the advanced clinical stage of the patients. In summary, we have developed a plasma EV enrichment method with improved precipitation selectivity and it might be suitable for larger-scale discovery studies.

摘要

基于细胞外囊泡(EV)的液体活检最近被认为是一种易于获取的生物样本,可用于分析和诊断。开发一种快速可靠的制备方案来富集此类小颗粒,能够加速发现有信息价值的、与疾病相关的生物标志物。尽管有多种EV富集方案,但就效率、可重复性和简便性而言,基于沉淀的方法最适合用于对大量受试者的研究。然而,沉淀的选择性变得至关重要。在此,我们提出一种基于普朗尼克嵌段共聚物的简单血浆EV富集方案。富集的血浆EV能够通过多种平台进行验证。我们的结果表明,通过该共聚物从血浆中富集的颗粒是具有膜结构的EV大小的囊泡;蛋白质组分析表明,与其他基于沉淀的富集方法相比,EV相关蛋白显著富集,而高丰度血浆蛋白显著减少。下一代测序证实了先前研究中在EV中观察到的各种RNA种类的存在。小RNA测序显示与相应血浆相比,种类有所富集。此外,通过半定量质谱对从20例晚期乳腺癌患者和20例年龄匹配的非癌症对照中富集的血浆EV进行了分析。通过从四种乳腺癌细胞系生成的EV蛋白质组图谱进一步筛选蛋白质特征,然后在交叉验证模型中进行选择。总共鉴定出60个对模型预测有高度贡献的蛋白质特征。有趣的是,这些特征中的很大一部分与乳腺癌的侵袭、转移以及浸润相关,这与患者的晚期临床阶段一致。总之,我们开发了一种具有改进沉淀选择性的血浆EV富集方法,它可能适用于更大规模的发现研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01bc/5912199/34042d0f326a/ZJEV_A_1458574_F0001a_OC.jpg

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