A new strategy for identifying polysialylated proteins reveals they are secreted from cancer cells as soluble proteins and as part of extracellular vesicles

Author:

Hunter Carmanah,Derksen Tahlia,Karathra Julieanna,Baker KristiORCID,Nitz Mark,Willis Lisa M.ORCID

Abstract

AbstractPolysialic acid (polySia) is a long homopolymer consisting of α2,8-linked sialic acid with tightly regulated expression in humans. In healthy adults, it occurs on cell surface glycoproteins in neuronal, reproductive, and immune tissues; however, it is aberrantly present in many cancers and its overexpression correlates with significantly increased metastasis and poor prognosis. Prompted by the observation that the MCF-7 breast cancer cell line contains only intracellular polySia, we investigated the secretion of polySia from MCF-7 cells. PolySia was found predominantly on soluble proteins in MCF-7 conditioned media, but also on extracellular vesicles (EVs), secreted from the cells. Since MCF-7 cells do not express known polysialylated proteins, we developed a robust method for purifying polysialylated proteins that uses a metabolic labelling strategy to introduce a bioorthogonal functionality into polySia. Using this method we identified three previously unknown polysialylated proteins, and found that two of these proteins - AGR2 and QSOX2 – were secreted from MCF-7 cells. We confirmed that QSOX2 found in EV-depleted MCF-7 cell conditioned media was polysialylated. Herein we report the secretion of polysialic acid on both soluble and EV-associated proteins from MCF-7 cancer cells and introduce a new method to efficiently identify polysialylated proteins. These findings have exciting implications for understanding the roles of polySia in cancer progression and metastasis and for identifying new cancer biomarkers.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3