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论文题目: Mining for genes related to choroidal neovascularization based on the shortest path algorithm and protein interaction information
英文论文题目: Mining for genes related to choroidal neovascularization based on the shortest path algorithm and protein interaction information
第一作者: Zhang, J; Suo, Y; Zhang, YH; Zhang, Q; Chen, XJ; Xu, X; Lu, WC
英文第一作者: Zhang, J; Suo, Y; Zhang, YH; Zhang, Q; Chen, XJ; Xu, X; Lu, WC
联系作者: Xu, X (reprint author), Shanghai Jiao Tong Univ, Sch Med, Shanghai Peoples Hosp 1, Dept Ophthalmol, Shanghai 200080, Peoples R China.
英文联系作者: Xu, X (reprint author), Shanghai Jiao Tong Univ, Sch Med, Shanghai Peoples Hosp 1, Dept Ophthalmol, Shanghai 200080, Peoples R China.
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发表年度: 2016
卷: 1860
期: 11
页码: 2740-2749
摘要: Background: Choroidal neovascularization (CNV) is a serious eye disease that may cause visual loss, especially for older people. Many factors have been proven to induce this disease including age, gender, obesity, and so on. However, until now, we have had limited knowledge on CNV's pathogenic mechanism. Discovering the genes that underlie this disease and performing extensive studies on them can help us to understand how CNV occurs and design effective treatments. Methods: In this study, we designed a computational method to identify novel CNV-related genes in a large protein network constructed using the protein-protein interaction information in STRING. The candidate genes were first extracted from the shortest paths connecting any two known CNV-related genes and then filtered by a permutation test and using knowledge of their linkages to known CNV-related genes. Results: A list of putative CNV-related candidate genes was accessed by our method. These genes are deemed to have strong relationships with CNV. Conclusions: Extensive analyses of several of the putative genes such as ANI(1, ITGA4, CD44 and others indicate that they are related to specific biological processes involved in CNV, implying they may be novel CNV-related genes. General significance: The newfound putative CNV-related genes may provide new insights into CNV and help design more effective treatments.
英文摘要: Background: Choroidal neovascularization (CNV) is a serious eye disease that may cause visual loss, especially for older people. Many factors have been proven to induce this disease including age, gender, obesity, and so on. However, until now, we have had limited knowledge on CNV's pathogenic mechanism. Discovering the genes that underlie this disease and performing extensive studies on them can help us to understand how CNV occurs and design effective treatments. Methods: In this study, we designed a computational method to identify novel CNV-related genes in a large protein network constructed using the protein-protein interaction information in STRING. The candidate genes were first extracted from the shortest paths connecting any two known CNV-related genes and then filtered by a permutation test and using knowledge of their linkages to known CNV-related genes. Results: A list of putative CNV-related candidate genes was accessed by our method. These genes are deemed to have strong relationships with CNV. Conclusions: Extensive analyses of several of the putative genes such as ANI(1, ITGA4, CD44 and others indicate that they are related to specific biological processes involved in CNV, implying they may be novel CNV-related genes. General significance: The newfound putative CNV-related genes may provide new insights into CNV and help design more effective treatments.
刊物名称: BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS
英文刊物名称: BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS
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学科: Biochemistry & Molecular Biology; Biophysics
英文学科: Biochemistry & Molecular Biology; Biophysics
影响因子: 4.702
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论文类别: Article
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