Cargando…
Key genes of renal tubular necrosis: a bioinformatics analysis
BACKGROUND: To explore the key genes in renal tubular necrosis. METHODS: Microarray datasets GSE69644, GSE27168, and GSE2027 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified and we performed functional enrichment analysis. The network o...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215026/ https://www.ncbi.nlm.nih.gov/pubmed/32420172 http://dx.doi.org/10.21037/tau.2019.11.24 |
_version_ | 1783532096834240512 |
---|---|
author | Lin, Peng Pan, Yongqing Chen, Hang Jiang, Ling Liao, Yunhua |
author_facet | Lin, Peng Pan, Yongqing Chen, Hang Jiang, Ling Liao, Yunhua |
author_sort | Lin, Peng |
collection | PubMed |
description | BACKGROUND: To explore the key genes in renal tubular necrosis. METHODS: Microarray datasets GSE69644, GSE27168, and GSE2027 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified and we performed functional enrichment analysis. The network of protein interaction and gene interaction was constructed, and the module analysis was conducted using Cytoscape. RESULTS: A total of 543 DEGs and 13 hub genes were identified. The correlation analysis between the hub genes and the clinical characteristics of tubular necrosis indicated that the patients with high expression of SPAG5 and BIRC5 had better renal function. Patients with high expression of KIF14, KIF20A, MAD2L1, CKAP2, CDC25C, and CENPEN had poor renal function. Four of those hub genes participate in the cell cycle, apoptosis, and mismatch repair by regulating important genes in the pathway. CONCLUSIONS: Our study suggests that CDC25C, MAD2L, BIRC5, and EXO1 participate in the cell cycle, apoptosis, and mismatch repair during renal tubule necrosis (RTN) and have an impact on renal function. |
format | Online Article Text |
id | pubmed-7215026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-72150262020-05-15 Key genes of renal tubular necrosis: a bioinformatics analysis Lin, Peng Pan, Yongqing Chen, Hang Jiang, Ling Liao, Yunhua Transl Androl Urol Original Article BACKGROUND: To explore the key genes in renal tubular necrosis. METHODS: Microarray datasets GSE69644, GSE27168, and GSE2027 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified and we performed functional enrichment analysis. The network of protein interaction and gene interaction was constructed, and the module analysis was conducted using Cytoscape. RESULTS: A total of 543 DEGs and 13 hub genes were identified. The correlation analysis between the hub genes and the clinical characteristics of tubular necrosis indicated that the patients with high expression of SPAG5 and BIRC5 had better renal function. Patients with high expression of KIF14, KIF20A, MAD2L1, CKAP2, CDC25C, and CENPEN had poor renal function. Four of those hub genes participate in the cell cycle, apoptosis, and mismatch repair by regulating important genes in the pathway. CONCLUSIONS: Our study suggests that CDC25C, MAD2L, BIRC5, and EXO1 participate in the cell cycle, apoptosis, and mismatch repair during renal tubule necrosis (RTN) and have an impact on renal function. AME Publishing Company 2020-04 /pmc/articles/PMC7215026/ /pubmed/32420172 http://dx.doi.org/10.21037/tau.2019.11.24 Text en 2020 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Lin, Peng Pan, Yongqing Chen, Hang Jiang, Ling Liao, Yunhua Key genes of renal tubular necrosis: a bioinformatics analysis |
title | Key genes of renal tubular necrosis: a bioinformatics analysis |
title_full | Key genes of renal tubular necrosis: a bioinformatics analysis |
title_fullStr | Key genes of renal tubular necrosis: a bioinformatics analysis |
title_full_unstemmed | Key genes of renal tubular necrosis: a bioinformatics analysis |
title_short | Key genes of renal tubular necrosis: a bioinformatics analysis |
title_sort | key genes of renal tubular necrosis: a bioinformatics analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215026/ https://www.ncbi.nlm.nih.gov/pubmed/32420172 http://dx.doi.org/10.21037/tau.2019.11.24 |
work_keys_str_mv | AT linpeng keygenesofrenaltubularnecrosisabioinformaticsanalysis AT panyongqing keygenesofrenaltubularnecrosisabioinformaticsanalysis AT chenhang keygenesofrenaltubularnecrosisabioinformaticsanalysis AT jiangling keygenesofrenaltubularnecrosisabioinformaticsanalysis AT liaoyunhua keygenesofrenaltubularnecrosisabioinformaticsanalysis |