Gene regulatory network construction and key gene recognition of diabetic nephropathy

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

doi:10.1109/ICBCB.2019.8854648

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 proceeding › Conference contribution

2 Scopus citations

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 language	English (US)
Title of host publication	Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781728106410
DOIs	https://doi.org/10.1109/ICBCB.2019.8854648
State	Published - Mar 2019
Event	7th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2019 - Hangzhou, China Duration: Mar 21 2019 → Mar 23 2019

Publication series

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

Conference

Conference	7th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2019
Country/Territory	China
City	Hangzhou
Period	3/21/19 → 3/23/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/ICBCB.2019.8854648

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). Article 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

Zheng, Rao ; Wang, Yun ; Lyu, Zhao Lei et al. / Gene regulatory network construction and key gene recognition of diabetic nephropathy. Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1-6 (Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019).

@inproceedings{ccce0819a8024db19095715f5ce59af0,

title = "Gene regulatory network construction and key gene recognition of diabetic nephropathy",

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.",

author = "Rao Zheng and Yun Wang and Lyu, \{Zhao Lei\} and Antonios Armaou",

year = "2019",

month = mar,

doi = "10.1109/ICBCB.2019.8854648",

language = "English (US)",

series = "Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--6",

booktitle = "Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019",

address = "United States",

note = "7th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2019 ; Conference date: 21-03-2019 Through 23-03-2019",

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Zheng, R, Wang, Y, Lyu, ZL & 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., 8854648, Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 7th IEEE International Conference on Bioinformatics and Computational Biology, ICBCB 2019, Hangzhou, China, 3/21/19. https://doi.org/10.1109/ICBCB.2019.8854648

Gene regulatory network construction and key gene recognition of diabetic nephropathy. / Zheng, Rao; Wang, Yun; Lyu, Zhao Lei et al.
Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1-6 8854648 (Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 -

Zheng R, Wang Y, Lyu ZL, Armaou A. 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. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1-6. 8854648. (Proceedings of 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology, ICBCB 2019). doi: 10.1109/ICBCB.2019.8854648

Gene regulatory network construction and key gene recognition of diabetic nephropathy

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UN SDGs

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