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干扰素-γ刺激的乳腺癌细胞中蛋白质生物标志物的新型预测

Novel predication of protein biomarkers in interferon-gamma-stimulated breast cancer cells.

作者信息

Ssadh Hussain Al, Abdulmonem Waleed Al

机构信息

Department of Molecular Medicine, School of Biological Sciences, University of Essex, Colchester, United Kingdom.

Clinical Laboratory Science, Inaya Medical College, Riyadh, Saudi Arabia.

出版信息

Int J Health Sci (Qassim). 2019 Mar-Apr;13(2):35-43.

PMID:30983944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6436449/
Abstract

OBJECTIVE

Proteomics is the large-scale study of localization, identification, structure, and function of the proteome. A proteome is the complete set of proteins expressed and modified by an organism under a specific set of environmental conditions. This study was undertaken to investigate the novel protein biomarkers that play a role in breast cancer under inflammatory condition.

METHODS

The two-dimensional gel electrophoresis (2-DE) was applied in the context of the breast cancer model system to investigate the effect of interferon-gamma (IFN-γ) on the differential protein expression in breast cancer-derived cell lines CAMA-1 and 3,4-methylenedioxyamphetamine (MDA)-MB-231. Whole cell lysates were prepared from IFN-γ-stimulated and non-stimulated CAMA-1 and MDA-MB-231 cells for 2-DE to obtain information for potential differential protein expression. Protein spots in the gels were visualized by silver staining and analyzed by Progenesis SameSpot. Gels were then scanned using the Epson image scanner with LabScan 6.0 software. The ExPASy tool was used to identify and quantify breast cancer cell membrane proteins expressed in response to IFN-γ.

RESULTS

In the present proteomics study, a series of differentially expressed proteins were analyzed in IFN-γ-stimulated CAMA-1 and MDA-MB-231 cells. While results obtained from this analysis can be used as preliminary data to identify differences between untreated and IFN-γ-treated samples, they were not used for further mass spectrometry analysis.

CONCLUSION

The data described and discussed here can be utilized for further data validation projects and could assist in the discovery of new breast cancer-related proteins and molecular pathways.

摘要

目的

蛋白质组学是对蛋白质组的定位、鉴定、结构和功能进行的大规模研究。蛋白质组是生物体在特定环境条件下表达和修饰的完整蛋白质集合。本研究旨在探究在炎症条件下对乳腺癌起作用的新型蛋白质生物标志物。

方法

在乳腺癌模型系统中应用二维凝胶电泳(2-DE),以研究干扰素-γ(IFN-γ)对乳腺癌衍生细胞系CAMA-1和3,4-亚甲基二氧基安非他明(MDA)-MB-231中差异蛋白质表达的影响。从经IFN-γ刺激和未刺激的CAMA-1和MDA-MB-231细胞中制备全细胞裂解物用于2-DE,以获取潜在差异蛋白质表达的信息。凝胶中的蛋白质斑点通过银染可视化,并使用Progenesis SameSpot进行分析。然后使用配备LabScan 6.0软件的爱普生图像扫描仪对凝胶进行扫描。使用ExPASy工具鉴定和定量响应IFN-γ表达的乳腺癌细胞膜蛋白。

结果

在本蛋白质组学研究中,对IFN-γ刺激的CAMA-1和MDA-MB-231细胞中的一系列差异表达蛋白质进行了分析。虽然从该分析中获得的结果可作为初步数据用于识别未处理和IFN-γ处理样品之间的差异,但未用于进一步的质谱分析。

结论

此处描述和讨论的数据可用于进一步的数据验证项目,并有助于发现新的乳腺癌相关蛋白质和分子途径。

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