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基于自动化质谱的功能测定法用于分泌蛋白质组的常规分析。

Automated mass spectrometry-based functional assay for the routine analysis of the secretome.

作者信息

Ngounou Wetie Armand G, Sokolowska Izabela, Woods Alisa G, Wormwood Kelly L, Dao Su, Patel Sapan, Clarkson Bayard D, Darie Costel C

机构信息

Biochemistry & Proteomics Group, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA.

出版信息

J Lab Autom. 2013 Feb;18(1):19-29. doi: 10.1177/2211068212454738. Epub 2012 Aug 1.

Abstract

The secretome represents the set of proteins secreted into the extracellular space of cells. These proteins have been shown to play a major role in cell-cell communication. For example, recent observations revealed the presence of diffusible factors with proliferative properties in the secretome of cancer cells. Thus, a qualitative and quantitative analysis of the secretome could lead to the identification of these factors and consequently to the development of new therapeutic strategies. Here, we provide an automated simple and effective strategy to identify novel targets in the secretome of specifically treated cells using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Furthermore, we explore the supportive role of mass spectrometry (MS) in the development of functional assays of identified secreted target molecules. Simplicity is achieved by growing cells in medium free of serum, which eliminates the need to remove the most abundant serum proteins and at the same time reduces disturbing matrix effects. Upon identification of these factors, their validation and characterization will follow. Moreover, this approach can also lead to the identification of proteins abnormally secreted, shed, or oversecreted by cells as response to a stimulus. Furthermore, we also discuss the problems that one may encounter. Finally, we discuss the broad application of automated MS-based proteomics, particularly in cancer research, highlighting new horizons for the use of MS.

摘要

分泌蛋白质组是指分泌到细胞外空间的蛋白质集合。这些蛋白质已被证明在细胞间通讯中发挥重要作用。例如,最近的观察结果显示癌细胞分泌蛋白质组中存在具有增殖特性的可扩散因子。因此,对分泌蛋白质组进行定性和定量分析可能会导致这些因子的鉴定,并进而开发新的治疗策略。在此,我们提供一种自动化的简单有效策略,利用液相色谱-串联质谱(LC-MS/MS)鉴定经过特定处理的细胞分泌蛋白质组中的新靶点。此外,我们还探讨了质谱(MS)在已鉴定的分泌靶分子功能测定开发中的支持作用。通过在无血清培养基中培养细胞实现了简单性,这消除了去除最丰富血清蛋白的需求,同时减少了干扰性基质效应。在鉴定出这些因子后,将对其进行验证和表征。此外,这种方法还可能导致鉴定出细胞作为对刺激的反应而异常分泌、脱落或过度分泌的蛋白质。此外,我们还讨论了可能遇到的问题。最后,我们讨论基于质谱的自动化蛋白质组学的广泛应用,特别是在癌症研究中的应用,突出了质谱使用的新前景。

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