Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1785148352054165504 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10659630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bihui multiplemicroarrayanalysisforidentificationofkeygenesinvolvedindiabeticnephropathy AT maliang multiplemicroarrayanalysisforidentificationofkeygenesinvolvedindiabeticnephropathy AT zhongxu multiplemicroarrayanalysisforidentificationofkeygenesinvolvedindiabeticnephropathy AT longgang multiplemicroarrayanalysisforidentificationofkeygenesinvolvedindiabeticnephropathy |