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Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy

The purpose of our study was to discover genes with significantly aberrant expression in diabetic nephropathy (DN) and to determine their potential mechanism. We acquired renal tubules, glomerulus and blood samples data from DN patients and controls from the GEO database. The differentially expresse...

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Autores principales: Bi, Hui, Ma, Liang, Zhong, Xu, Long, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659630/
https://www.ncbi.nlm.nih.gov/pubmed/37986381
http://dx.doi.org/10.1097/MD.0000000000035985
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author Bi, Hui
Ma, Liang
Zhong, Xu
Long, Gang
author_facet Bi, Hui
Ma, Liang
Zhong, Xu
Long, Gang
author_sort Bi, Hui
collection PubMed
description The purpose of our study was to discover genes with significantly aberrant expression in diabetic nephropathy (DN) and to determine their potential mechanism. We acquired renal tubules, glomerulus and blood samples data from DN patients and controls from the GEO database. The differentially expressed genes (DEGs) in renal tubules, glomerulus and blood samples between DN patients and controls were studied. Based on these DEGs, we carried out the functional annotation and constructed protein-protein interaction (PPI) network. By comparing DN patients and controls of DEGs, we acquired the shared DGEs in renal tubules, glomerulus and blood samples of DN patients and controls. DN patients compared to controls, we obtained 3000 DEGs, 3064 DEGs, and 2296 DEGs in renal tubules, glomerulus and blood samples, respectively. The PPI networks of top 40 DEGs in renal tubules, glomerulus and blood samples was consisted of 229 nodes and 229 edges, 540 nodes and 606 edges, and 132 nodes and 124 edges, respectively. In total, 21 shared genes were finally found, including CASP3, DHCR24, CXCL1, GYPC, INHBA, LTF, MT1G, MUC1, NINJ1, PFKFB3, PPP1R3C, CCL5, SRSF7, PHLDA2, RBM39, WTAP, BASP1, PLK2, PDK2, PNPLA4, and SNED1. These genes may be associated with the DN process. Our study provides a basis to explore the potential mechanism and identify novel therapeutic targets for DN.
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spelling pubmed-106596302023-11-17 Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy Bi, Hui Ma, Liang Zhong, Xu Long, Gang Medicine (Baltimore) 5200 The purpose of our study was to discover genes with significantly aberrant expression in diabetic nephropathy (DN) and to determine their potential mechanism. We acquired renal tubules, glomerulus and blood samples data from DN patients and controls from the GEO database. The differentially expressed genes (DEGs) in renal tubules, glomerulus and blood samples between DN patients and controls were studied. Based on these DEGs, we carried out the functional annotation and constructed protein-protein interaction (PPI) network. By comparing DN patients and controls of DEGs, we acquired the shared DGEs in renal tubules, glomerulus and blood samples of DN patients and controls. DN patients compared to controls, we obtained 3000 DEGs, 3064 DEGs, and 2296 DEGs in renal tubules, glomerulus and blood samples, respectively. The PPI networks of top 40 DEGs in renal tubules, glomerulus and blood samples was consisted of 229 nodes and 229 edges, 540 nodes and 606 edges, and 132 nodes and 124 edges, respectively. In total, 21 shared genes were finally found, including CASP3, DHCR24, CXCL1, GYPC, INHBA, LTF, MT1G, MUC1, NINJ1, PFKFB3, PPP1R3C, CCL5, SRSF7, PHLDA2, RBM39, WTAP, BASP1, PLK2, PDK2, PNPLA4, and SNED1. These genes may be associated with the DN process. Our study provides a basis to explore the potential mechanism and identify novel therapeutic targets for DN. Lippincott Williams & Wilkins 2023-11-17 /pmc/articles/PMC10659630/ /pubmed/37986381 http://dx.doi.org/10.1097/MD.0000000000035985 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 5200
Bi, Hui
Ma, Liang
Zhong, Xu
Long, Gang
Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy
title Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy
title_full Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy
title_fullStr Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy
title_full_unstemmed Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy
title_short Multiple-microarray analysis for identification of key genes involved in diabetic nephropathy
title_sort multiple-microarray analysis for identification of key genes involved in diabetic nephropathy
topic 5200
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659630/
https://www.ncbi.nlm.nih.gov/pubmed/37986381
http://dx.doi.org/10.1097/MD.0000000000035985
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