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Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD
Chronic kidney disease (CKD) is a complex disease in which the renal function is compromised chronically. Many studies have indicated the crosstalk between the tubule and the glomerulus in CKD progression. However, our understanding of the interaction of tubular and glomerular injury remains incompl...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906987/ https://www.ncbi.nlm.nih.gov/pubmed/33644086 http://dx.doi.org/10.3389/fmed.2020.615306 |
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author | Liu, Lingyun Ma, Fuzhe Hao, Yuanyuan Yi, Zhengzi Yu, Xiaoxia Xu, Bo Wei, Chengguo Hu, Jinghai |
author_facet | Liu, Lingyun Ma, Fuzhe Hao, Yuanyuan Yi, Zhengzi Yu, Xiaoxia Xu, Bo Wei, Chengguo Hu, Jinghai |
author_sort | Liu, Lingyun |
collection | PubMed |
description | Chronic kidney disease (CKD) is a complex disease in which the renal function is compromised chronically. Many studies have indicated the crosstalk between the tubule and the glomerulus in CKD progression. However, our understanding of the interaction of tubular and glomerular injury remains incomplete. In this study, we applied a meta-analysis approach on the transcriptome of the tubules and glomeruli of CKD patients to identify differentially expressed genes (DEGs) signature. Functional analysis of pathways and Gene Ontology found that tubular DEGs were mainly involved in cell assembly and remodeling, glomerular DEGs in cell proliferation and apoptosis, and overlapping DEGs mainly in immune response. Correlation analysis was performed to identify the associated DEGs in the tubules and glomeruli. Secreted protein comparison and verification experiments indicated that WFDC2 from the tubule could downregulate PEX19 mRNA and protein levels at the glomeruli in diabetic kidney disease (DKD). This study revealed the distinctive pathways of the tubules and glomeruli and identified interacted genes during CKD progression. |
format | Online Article Text |
id | pubmed-7906987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79069872021-02-27 Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD Liu, Lingyun Ma, Fuzhe Hao, Yuanyuan Yi, Zhengzi Yu, Xiaoxia Xu, Bo Wei, Chengguo Hu, Jinghai Front Med (Lausanne) Medicine Chronic kidney disease (CKD) is a complex disease in which the renal function is compromised chronically. Many studies have indicated the crosstalk between the tubule and the glomerulus in CKD progression. However, our understanding of the interaction of tubular and glomerular injury remains incomplete. In this study, we applied a meta-analysis approach on the transcriptome of the tubules and glomeruli of CKD patients to identify differentially expressed genes (DEGs) signature. Functional analysis of pathways and Gene Ontology found that tubular DEGs were mainly involved in cell assembly and remodeling, glomerular DEGs in cell proliferation and apoptosis, and overlapping DEGs mainly in immune response. Correlation analysis was performed to identify the associated DEGs in the tubules and glomeruli. Secreted protein comparison and verification experiments indicated that WFDC2 from the tubule could downregulate PEX19 mRNA and protein levels at the glomeruli in diabetic kidney disease (DKD). This study revealed the distinctive pathways of the tubules and glomeruli and identified interacted genes during CKD progression. Frontiers Media S.A. 2021-02-12 /pmc/articles/PMC7906987/ /pubmed/33644086 http://dx.doi.org/10.3389/fmed.2020.615306 Text en Copyright © 2021 Liu, Ma, Hao, Yi, Yu, Xu, Wei and Hu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Liu, Lingyun Ma, Fuzhe Hao, Yuanyuan Yi, Zhengzi Yu, Xiaoxia Xu, Bo Wei, Chengguo Hu, Jinghai Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD |
title | Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD |
title_full | Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD |
title_fullStr | Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD |
title_full_unstemmed | Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD |
title_short | Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD |
title_sort | integrative informatics analysis of transcriptome and identification of interacted genes in the glomeruli and tubules in ckd |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906987/ https://www.ncbi.nlm.nih.gov/pubmed/33644086 http://dx.doi.org/10.3389/fmed.2020.615306 |
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