TY - GEN
T1 - Gene regulatory network construction and key gene recognition of diabetic nephropathy
AU - Zheng, Rao
AU - Wang, Yun
AU - Lyu, Zhao Lei
AU - Armaou, Antonios
PY - 2019/3
Y1 - 2019/3
N2 - Diabetic nephropathy (DN) is a diabetic complication that seriously endangers human health. Its pathogenesis involves a variety of factors. The purpose of this paper is to determine key genes in the disease progression that will be potential therapeutic targets of DN. Based on gene expression profiles and the databases of interactions of proteins-proteins, transcription factors-genes, transcription factors-miRNAs and miRNAs-genes, the differentially expressed genes of DN were screened. The regulatory network of DN differential genes was established and key genes of DN were identified using the entity grammar system. According to the regulatory interaction between genes, key genes were defined as the ones that could regulate the state of other genes from abnormal towards normal expression. Identified key genes include BMP2 (bone morphogenetic protein 2), VEGFA (vascular endothelial growth factor A), F3 (coagulation factor III/tissue factor), EGR2 (early growth response protein 2), CDS1 (CDP- diacylglycerol synthase 1) and PLCE1 (phospholipase C epsilon 1). These findings provide clues for the successful drug development of DN.
AB - Diabetic nephropathy (DN) is a diabetic complication that seriously endangers human health. Its pathogenesis involves a variety of factors. The purpose of this paper is to determine key genes in the disease progression that will be potential therapeutic targets of DN. Based on gene expression profiles and the databases of interactions of proteins-proteins, transcription factors-genes, transcription factors-miRNAs and miRNAs-genes, the differentially expressed genes of DN were screened. The regulatory network of DN differential genes was established and key genes of DN were identified using the entity grammar system. According to the regulatory interaction between genes, key genes were defined as the ones that could regulate the state of other genes from abnormal towards normal expression. Identified key genes include BMP2 (bone morphogenetic protein 2), VEGFA (vascular endothelial growth factor A), F3 (coagulation factor III/tissue factor), EGR2 (early growth response protein 2), CDS1 (CDP- diacylglycerol synthase 1) and PLCE1 (phospholipase C epsilon 1). These findings provide clues for the successful drug development of DN.
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U2 - 10.1109/ICBCB.2019.8854648
DO - 10.1109/ICBCB.2019.8854648
M3 - Conference contribution
T3 - Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019
SP - 1
EP - 6
BT - Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2019
Y2 - 21 March 2019 through 23 March 2019
ER -
