Proteomic analysis of tumor-specific biomarkers in colon cancer

IF 0.5 4区生物学 Q4 BIOCHEMICAL RESEARCH METHODS

Current Proteomics Pub Date : 2022-04-06 DOI:10.2174/1570164619666220406115339

Yu-An Chien, H. Chou, Chu-Chun Yang, Yi- Shiuan Wang, yu-shan Wei, H. Chan

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引用次数: 0

Abstract

With the development of medicine and technological advancement, the concept of precision medicine is rising, and the traditional principle of all-in-one therapy is gradually broken. Utilizing the detection of genome, transcriptome, proteome, and metabolome, combined with big data analysis to discover new pathogenic mechanisms, provide more effective prescriptions with fewer side effects, and even shift the emphasis of medicine from disease treatment to disease prevention. Proteomics is one of the potential tools for monitoring the alternations of protein expression. This study analyzed the proteomic alternations between normal colon tissue and cancerous colon tissue via two-dimensional difference gel electrophoresis (2D-DIGE) and matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) to select the potential target proteins. The experimental results demonstrated that a total of 90 proteins were identified with significantly expressed. These proteins were classified according to their functions. These proteins are mainly associated with cytoskeleton regulation, glycolysis, and protein folding. Furthermore, immunoblotting was used to verify the differentially expressed proteins, and the results showed positive agreement with the trends in the proteomic analysis. To sum up, these differentially expressed proteins could be used as potential and precise biomarkers in the diagnosis or treatment of colorectal cancer.

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结肠癌肿瘤特异性生物标志物的蛋白质组学分析

随着医学的发展和技术的进步，精准医疗的理念正在兴起，传统的一体化治疗原则逐渐被打破。利用基因组、转录组、蛋白质组和代谢组的检测，结合大数据分析，发现新的致病机制，提供更有效、副作用更小的处方，甚至将医学的重点从疾病治疗转向疾病预防。蛋白质组学是监测蛋白质表达变化的潜在工具之一。本研究通过二维凝胶电泳(2D-DIGE)和基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)分析正常结肠组织和癌变结肠组织之间的蛋白质组学变化，以选择潜在的靶蛋白。实验结果表明，共有90个蛋白被鉴定为显著表达。这些蛋白质按其功能分类。这些蛋白质主要与细胞骨架调节、糖酵解和蛋白质折叠有关。此外，用免疫印迹法对差异表达蛋白进行验证，结果与蛋白质组学分析的趋势一致。综上所述，这些差异表达蛋白可以作为潜在的、精确的生物标志物用于结直肠癌的诊断或治疗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

>0 weeks

期刊介绍： Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.