Differential Expression Analysis Basing on Bladder Cancer on Dataset GSE40355/GPL13497

The Fifth International Conference on Biological Information and Biomedical Engineering Pub Date : 2021-07-20 DOI:10.1145/3469678.3469692

Yi-Ching Tang, Jingyan Diao, Degang Zhu

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Abstract

Objective: This study aims to identify hub genes and key pathways associated with bladder cancer. Methods: bladder cancer related dataset GSE40355/GPL13497 was obtained from the GEO database, regarding algorithms were utilized to filter differentially expressed genes. GO analysis, KEGG analysis were run on the differentially expressed genes found. Furthermore, Protein-protein Interaction Network was built and hub genes were found based on the result. Results: 2,530 differentially expressed genes were found with the constrained conditions of |log 2(FC)| > 2.5, adj.P.value < 0.01. GO analysis indicates that the molecular functions of the differentially expressed genes found mostly enriched on cell adhesion molecule binding, actin binding, DNA-binding transcription activator activity (RNA polymerase II-specific), while the KEGG analysis showed that the signaling pathways mainly enriched on MAPK signaling pathway, cAMP signaling pathway and Calcium signaling pathway. Moreover, 7 hub genes located were significantly up-regulated or down-regulated. Conclusion: Genes related closely to bladder cancer were found through bioinformatical analysis, and 7 hub genes were obtained, therefore paved the way for the further researches.

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基于数据集GSE40355/GPL13497的膀胱癌差异表达分析

目的:研究膀胱癌相关的枢纽基因和关键通路。方法:从GEO数据库中获取膀胱癌相关数据集GSE40355/GPL13497，利用算法筛选差异表达基因。对发现的差异表达基因进行GO分析、KEGG分析。构建蛋白-蛋白互作网络，并在此基础上发现枢纽基因。结果:发现差异表达基因2530个，约束条件为|log 2(FC)| > 2.5, adj. p值< 0.01。GO分析发现差异表达基因的分子功能主要富集于细胞粘附分子结合、肌动蛋白结合、dna结合转录激活因子活性(RNA聚合酶ii特异性)，而KEGG分析发现信号通路主要富集于MAPK信号通路、cAMP信号通路和钙信号通路。此外，所定位的7个枢纽基因显著上调或下调。结论:通过生物信息学分析发现与膀胱癌密切相关的基因，获得7个枢纽基因，为进一步研究奠定了基础。

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The Fifth International Conference on Biological Information and Biomedical Engineering

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