Gene regulatory network construction and key gene recognition of diabetic nephropathy

Rao Zheng, Yun Wang, Zhao Lei Lyu, Antonios Armaou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781728106410
DOIs
StatePublished - Mar 2019
Event7th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2019 - Hangzhou, China
Duration: Mar 21 2019Mar 23 2019

Publication series

NameProceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019

Conference

Conference7th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2019
CountryChina
CityHangzhou
Period3/21/193/23/19

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computational Mathematics
  • Medicine (miscellaneous)
  • Health Informatics
  • Agricultural and Biological Sciences (miscellaneous)

Cite this

Zheng, R., Wang, Y., Lyu, Z. L., & Armaou, A. (2019). Gene regulatory network construction and key gene recognition of diabetic nephropathy. In Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019 (pp. 1-6). [8854648] (Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBCB.2019.8854648