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通过伴侣亲和富集法对乳腺癌细胞系细胞外囊泡进行差异蛋白质组分析

Differential Proteome Analysis of Extracellular Vesicles from Breast Cancer Cell Lines by Chaperone Affinity Enrichment.

作者信息

Griffiths Steven G, Cormier Michelle T, Clayton Aled, Doucette Alan A

机构信息

Minervagen Biotechnologies Corporation, Tucson, AZ 85704, USA.

Atlantic Cancer Research Institute, Moncton, NB E1C8X3, Canada.

出版信息

Proteomes. 2017 Oct 8;5(4):25. doi: 10.3390/proteomes5040025.

Abstract

The complexity of human tissue fluid precludes timely identification of cancer biomarkers by immunoassay or mass spectrometry. An increasingly attractive strategy is to primarily enrich extracellular vesicles (EVs) released from cancer cells in an accelerated manner compared to normal cells. The Vn96 peptide was herein employed to recover a subset of EVs released into the media from cellular models of breast cancer. Vn96 has affinity for heat shock proteins (HSPs) decorating the surface of EVs. Reflecting their cells of origin, cancer EVs displayed discrete differences from those of normal phenotype. GELFrEE LC/MS identified an extensive proteome from all three sources of EVs, the vast majority having been previously reported in the ExoCarta database. Pathway analysis of the Vn96-affinity proteome unequivocally distinguished EVs from tumorigenic cell lines (SKBR3 and MCF-7) relative to a non-tumorigenic source (MCF-10a), particularly with regard to altered metabolic enzymes, signaling, and chaperone proteins. The protein data sets provide valuable information from material shed by cultured cells. It is probable that a vast amount of biomarker identities may be collected from established and primary cell cultures using the approaches described here.

摘要

人体组织液的复杂性使得通过免疫测定或质谱法及时鉴定癌症生物标志物变得困难。一种越来越有吸引力的策略是,与正常细胞相比,以更快的速度优先富集癌细胞释放的细胞外囊泡(EVs)。本文使用Vn96肽从乳腺癌细胞模型释放到培养基中的EVs中回收一个子集。Vn96对修饰EVs表面的热休克蛋白(HSPs)具有亲和力。癌症EVs反映了其起源细胞,与正常表型的EVs表现出明显差异。GELFrEE LC/MS从所有三种EVs来源中鉴定出了一个广泛的蛋白质组,其中绝大多数先前已在ExoCarta数据库中报道。对Vn96亲和蛋白质组的通路分析明确区分了来自致瘤细胞系(SKBR3和MCF-7)的EVs与非致瘤来源(MCF-10a)的EVs,特别是在代谢酶、信号传导和伴侣蛋白改变方面。这些蛋白质数据集提供了来自培养细胞释放物质的有价值信息。使用此处描述的方法,很可能从已建立的细胞培养物和原代细胞培养物中收集大量生物标志物身份信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8785/5748560/e2707a32c305/proteomes-05-00025-g001.jpg

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