Label-free based proteomics analysis of tissue profiles reveals the pathogenesis of colorectal cancer

Proceedings of the 2022 11th International Conference on Bioinformatics and Biomedical Science Pub Date : 2022-10-28 DOI:10.1145/3571532.3571537

Jingjing Liu, Xiaofeng Song, C. Qiu, Si-Yu Wu

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Abstract

Colorectal cancer (CRC) has seriously threatened human life and health. Nowadays, research on the pathogenesis, diagnosis and treatment of CRC is still ongoing. Finding safe, convenient and reliable protein biomarkers of CRC will contribute to CRC diagnosis and treatment. In this study, label-free quantitative proteomics was used to profile the colorectal tissues of CRC in mice. Bioinformatics was used to fine the differentially expressed proteins. We identified 57 differentially expressed proteins with 29 significantly up-regulated and 28 significantly down-regulated. Results of Gene Ontology (GO) showed that most of the differentially expressed proteins located in the cytoplasm and extracellular exosomes, and they were involved in specific metabolic processes. Further metabolic pathway enrichment analysis showed that most of the differentially expressed proteins were related to metabolism of arginine and proline. In addition, protein-protein interaction (PPI) network analysis indicated that the up-regulated protein ALDH1B1 stayed at the key position in the network. Taking all the results together, it can be speculated that AMPN, AOC1, MYO1A and MAOB may be potential proteic biomarkers of CRC.

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基于无标记的蛋白质组学分析揭示了结直肠癌的发病机制

结直肠癌(CRC)严重威胁着人类的生命和健康。目前，对结直肠癌的发病机制、诊断和治疗的研究仍在进行中。寻找安全、便捷、可靠的结直肠癌蛋白生物标志物将有助于结直肠癌的诊断和治疗。本研究采用无标记定量蛋白质组学方法对结直肠癌小鼠结肠组织进行了分析。采用生物信息学方法对差异表达蛋白进行细化。我们发现了57个差异表达蛋白，其中29个显著上调，28个显著下调。基因本体(Gene Ontology, GO)结果显示，大多数差异表达蛋白位于细胞质和细胞外外泌体，它们参与特定的代谢过程。进一步的代谢途径富集分析表明，大多数差异表达蛋白与精氨酸和脯氨酸的代谢有关。此外，蛋白-蛋白相互作用(PPI)网络分析表明，上调蛋白ALDH1B1在网络中处于关键位置。综合以上结果，可以推测AMPN、AOC1、MYO1A和MAOB可能是CRC潜在的蛋白质生物标志物。

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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Proceedings of the 2022 11th International Conference on Bioinformatics and Biomedical Science

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