Department of Ophthalmology, Yangpu Hospital, Tongji University School of Medicine, 450 Tengyue Road, Shanghai 200090, China.
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, shanghai 200080, China.
Biomed Res Int. 2021 Sep 6;2021:2295412. doi: 10.1155/2021/2295412. eCollection 2021.
Choroidal neovascularization (CNV) is a type of eye disease that can cause vision loss. In recent years, many studies have attempted to investigate the major pathological processes and molecular pathogenic mechanisms of CNV. Because many diseases are related to genes, the genes associated with CNV need to be identified. In this study, we proposed a network-based approach for identifying novel CNV-associated genes. To execute such method, we first employed a protein-protein interaction network reported in STRING. Then, we applied a network diffusion algorithm, Laplacian heat diffusion, on this network by selecting validated CNV-related genes as the seed nodes. As a result, some novel genes that had unknown but strong relationships with validated genes were identified. Furthermore, we used a screening procedure to extract the most essential genes. Eleven latent CNV-related genes were finally obtained. Extensive analyses were performed to confirm that these genes are novel CNV-related genes.
脉络膜新生血管（CNV）是一种可导致视力丧失的眼部疾病。近年来，许多研究试图探究 CNV 的主要病理过程和分子发病机制。由于许多疾病与基因有关，因此需要识别与 CNV 相关的基因。在这项研究中，我们提出了一种基于网络的方法来识别新的 CNV 相关基因。为了执行该方法，我们首先使用了 STRING 中报道的蛋白质-蛋白质相互作用网络。然后，我们通过选择经过验证的与 CNV 相关的基因作为起始节点，在该网络上应用了网络扩散算法——拉普拉斯热扩散算法。结果，发现了一些与已知基因具有未知但强关系的新基因。此外，我们还使用了一种筛选程序来提取最关键的基因。最终获得了 11 个潜在的与 CNV 相关的基因。我们进行了广泛的分析以确认这些基因是新的与 CNV 相关的基因。
