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无血清饥饿条件下增强对培养细胞分泌糖蛋白的综合分析

Enhancing Comprehensive Analysis of Secreted Glycoproteins from Cultured Cells without Serum Starvation.

机构信息

School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

出版信息

Anal Chem. 2021 Feb 2;93(4):2694-2705. doi: 10.1021/acs.analchem.0c05126. Epub 2021 Jan 4.

Abstract

Glycoproteins secreted by cells play essential roles in the regulation of extracellular activities. Secreted glycoproteins are often reflective of cellular status, and thus glycoproteins from easily accessible bodily fluids can serve as excellent biomarkers for disease detection. Cultured cells have been extensively employed as models in the research fields of biology and biomedicine, and global analysis of glycoproteins secreted from these cells provides insights into cellular activities and glycoprotein functions. However, comprehensive identification and quantification of secreted glycoproteins is a daunting task because of their low abundances compared with the high-abundance serum proteins required for cell growth and proliferation. Several studies employed serum-free media to analyze secreted proteins, but it has been shown that serum starvation, even for a short period of time, can alter protein secretion. To overcome these issues, we developed a method to globally characterize secreted glycoproteins and their N-glycosylation sites from cultured cells by combining selective enrichment of secreted glycoproteins with a boosting approach. The results demonstrated the importance of the boosting sample selection and the boosting-to-sample ratio for improving the coverage of secreted glycoproteins. The method was applied to globally quantify secreted glycoproteins from THP-1 monocytes and macrophages in response to lipopolysaccharides (LPS) and from Hep G2 cells treated with TGF-β without serum starvation. We found differentially secreted glycoproteins in these model systems that showed the cellular response to the immune activation or the epithelial-to-mesenchymal transition. Benefiting from the selective enrichment and the signal enhancement of low-abundance secreted glycoproteins, this method can be extensively applied to study secreted glycoproteins without serum starvation, which will provide a better understanding of protein secretion and cellular activity.

摘要

细胞分泌的糖蛋白在调节细胞外活动中起着至关重要的作用。分泌的糖蛋白通常反映了细胞的状态,因此,从易于获取的体液中提取的糖蛋白可以作为疾病检测的优秀生物标志物。培养细胞已被广泛用作生物学和生物医学研究领域的模型,对这些细胞分泌的糖蛋白进行全面分析可以深入了解细胞的活动和糖蛋白的功能。然而,由于其丰度相对较低,与细胞生长和增殖所需的高丰度血清蛋白相比,全面鉴定和定量分泌的糖蛋白是一项艰巨的任务。有几项研究使用无血清培养基来分析分泌蛋白,但已经表明,即使是短时间的血清饥饿也会改变蛋白质的分泌。为了克服这些问题,我们开发了一种方法,通过结合选择性富集分泌糖蛋白和提升方法,从培养细胞中全面描绘分泌糖蛋白及其 N-糖基化位点。结果表明,提升样本选择和提升与样本的比例对于提高分泌糖蛋白的覆盖率非常重要。该方法应用于从 LPS 刺激的 THP-1 单核细胞和巨噬细胞以及无血清饥饿处理的 TGF-β 处理的 Hep G2 细胞中全面定量分泌的糖蛋白。我们在这些模型系统中发现了差异分泌的糖蛋白,这些糖蛋白显示了细胞对免疫激活或上皮-间充质转化的反应。得益于对低丰度分泌糖蛋白的选择性富集和信号增强,该方法可以广泛应用于无血清饥饿条件下分泌糖蛋白的研究,从而更好地理解蛋白质分泌和细胞活动。

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