Objective： To re-analyze the data published in order to explore plausible biological pathways that can be used to explain the anti-aging effect of curcumin. Methods： Microarray data generated from other study aiming to investigate effect of curcumin on extending lifespan of Drosophila melanogaster were further used for pathway prediction analysis. The differentially expressed genes were identified by using GeneSpdng GX with a criterion of 3.0-fold change. Two Cytoscape plugins including BisoGenet and molecular complex detection （MCODE） were used to establish the protein-protein interaction （PPI） network based upon differential genes in order to detect highly connected regions. The function annotation clustering tool of Database for Annotation, Visualization and Integrated Discovery （DAVID） was used for pathway analysis. Results： A total of 87 genes expressed differentially in D. melanogaster treated with curcumin were identified, among which 50 were up-regulated significantly and 37 were remarkably down-regulated in D. melanogaster treated with curcumin. Based upon these differential genes, PPI network was constructed with 1,082 nodes and 2,412 edges. Five highly connected regions in PPI networks were detected by MCODE algorithm, suggesting anti-aging effect of curcumin may be underlined through five different pathways including Notch signaling pathway, basal transcription factors, cell cycle regulation, ribosome, Wnt signaling pathway, and p53 pathway. Conclusion： Genes and their associated pathways in D. rnelanogaster treated with anti-aging agent curcumin were identified using PPI network and MCODE algorithm, suggesting that curnumin may be developed as an alternative therapeutic medicine for treating aging-associated diseases.
背景:在蛋白质相互作用网络的基础上研究骨质疏松症,可以更深入全面了解其发生发展机制。目的:建立基于骨质疏松症遗传相关基因的蛋白质相互作用网络,对其中所含分子复合物涉及的生物学通路进行预测。方法:筛选在线人类孟德尔遗传数据库中的骨质疏松症遗传相关基因,应用Cytoscape软件和插件Agilent Literature Search,进行文本挖掘并建立骨质疏松症的蛋白质相互作用网络;应用插件Clusterviz,发现网络中的可能包含的分子复合物;基于DAVID,富集分子复合物的生物学通路。结果与结论:人类孟德尔遗传数据库中骨质疏松遗传相关基因有177个。骨质疏松症的蛋白质相互作用网络包含863个节点(蛋白质)、2925条边(相互作用关系),可能包含4个分子复合物。其中分子复合物3涉及免疫细胞表面分子及其相互黏附、细胞因子与其受体的结合、造血和止血功能等生物学通路;分子复合物4与糖尿病的发生有一定关系。
目的建立基于骨质疏松症遗传相关基因的蛋白质相互作用网络,发现其中其中包含的分子复合物和未经研究或研究较少的与骨质疏松症相关的蛋白质。方法基于OMIM数据库中与骨质疏松症发生相关的177个遗传基因,应用Cytoscape软件及其插件Agilent Literature Search,进行PUBMED文献的文本数据挖掘,建立骨质疏松症的蛋白质相互作用网络;应用MCOMD算法,探测网络中的分子复合物,并对分子复合物包含的蛋白质进行GO分析,分析包括分子功能、生物学通路、细胞组分。结果骨质疏松症的蛋白质相互作用网络包含863个节点(蛋白质)、2925条边(相互作用关系)、4个高度关联的分子复合物。这些分子复合物内的18个蛋白质与骨质疏松症的关系未经研究或研究较少。结论基于OMIM数据库,可建立骨质疏松症的蛋白质相互作用网络,发现未经研究或研究较少的骨质疏松症关联蛋白质。
