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Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing
Smad3 deficiency prevents the development of type 2 diabetic nephropathy; however, the underlying molecular mechanisms remain unknown. In this study, we aimed to identify Smad3‐related genes involved in the pathogenesis of diabetic kidney disease. High‐throughput RNA sequencing was performed to prof...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882931/ https://www.ncbi.nlm.nih.gov/pubmed/33369170 http://dx.doi.org/10.1111/jcmm.16133 |
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author | Zhou, Qin Guo, Honghong Yu, Chaolun Huang, Xiao‐Ru Liang, Liying Zhang, Puhua Yu, Jianwen Zhang, Jizhou Chan, Ting‐Fung Ma, Ronald C. W. Lan, Hui‐yao |
author_facet | Zhou, Qin Guo, Honghong Yu, Chaolun Huang, Xiao‐Ru Liang, Liying Zhang, Puhua Yu, Jianwen Zhang, Jizhou Chan, Ting‐Fung Ma, Ronald C. W. Lan, Hui‐yao |
author_sort | Zhou, Qin |
collection | PubMed |
description | Smad3 deficiency prevents the development of type 2 diabetic nephropathy; however, the underlying molecular mechanisms remain unknown. In this study, we aimed to identify Smad3‐related genes involved in the pathogenesis of diabetic kidney disease. High‐throughput RNA sequencing was performed to profile the whole transcriptome in the diabetic kidney of Smad3 WT‐db/db, Smad3 KO‐db/db, Smad3(+/−) db/db and their littermate control db/m mice at 20 weeks. The gene ontology, pathways and alternative splicing of differentially expressed protein‐coding genes and long non‐coding RNAs related to Smad3 in diabetic kidney were analysed. Compared to Smad3 WT‐db/db mice, Smad3 KO‐db/db mice exhibited an alteration of genes associated with RNA splicing and metabolism, whereas heterozygosity deletion of Smad3 (Smad3(+/−) db/db mice) significantly altered genes related to cell division and cell cycle. Notably, three protein‐coding genes (Upk1b, Psca and Gdf15) and two lncRNAs (NONMMUG023520.2 and NONMMUG032975.2) were identified to be Smad3‐dependent and to be associated with the development of diabetic nephropathy. By using whole transcriptome RNA sequencing, we identified novel Smad3 transcripts related to the development of diabetic nephropathy. Thus, targeting these transcripts may represent a novel and effective therapy for diabetic nephropathy. |
format | Online Article Text |
id | pubmed-7882931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78829312021-02-19 Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing Zhou, Qin Guo, Honghong Yu, Chaolun Huang, Xiao‐Ru Liang, Liying Zhang, Puhua Yu, Jianwen Zhang, Jizhou Chan, Ting‐Fung Ma, Ronald C. W. Lan, Hui‐yao J Cell Mol Med Original Articles Smad3 deficiency prevents the development of type 2 diabetic nephropathy; however, the underlying molecular mechanisms remain unknown. In this study, we aimed to identify Smad3‐related genes involved in the pathogenesis of diabetic kidney disease. High‐throughput RNA sequencing was performed to profile the whole transcriptome in the diabetic kidney of Smad3 WT‐db/db, Smad3 KO‐db/db, Smad3(+/−) db/db and their littermate control db/m mice at 20 weeks. The gene ontology, pathways and alternative splicing of differentially expressed protein‐coding genes and long non‐coding RNAs related to Smad3 in diabetic kidney were analysed. Compared to Smad3 WT‐db/db mice, Smad3 KO‐db/db mice exhibited an alteration of genes associated with RNA splicing and metabolism, whereas heterozygosity deletion of Smad3 (Smad3(+/−) db/db mice) significantly altered genes related to cell division and cell cycle. Notably, three protein‐coding genes (Upk1b, Psca and Gdf15) and two lncRNAs (NONMMUG023520.2 and NONMMUG032975.2) were identified to be Smad3‐dependent and to be associated with the development of diabetic nephropathy. By using whole transcriptome RNA sequencing, we identified novel Smad3 transcripts related to the development of diabetic nephropathy. Thus, targeting these transcripts may represent a novel and effective therapy for diabetic nephropathy. John Wiley and Sons Inc. 2020-12-25 2021-02 /pmc/articles/PMC7882931/ /pubmed/33369170 http://dx.doi.org/10.1111/jcmm.16133 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zhou, Qin Guo, Honghong Yu, Chaolun Huang, Xiao‐Ru Liang, Liying Zhang, Puhua Yu, Jianwen Zhang, Jizhou Chan, Ting‐Fung Ma, Ronald C. W. Lan, Hui‐yao Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing |
title | Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing |
title_full | Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing |
title_fullStr | Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing |
title_full_unstemmed | Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing |
title_short | Identification of Smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome RNA sequencing |
title_sort | identification of smad3‐related transcriptomes in type‐2 diabetic nephropathy by whole transcriptome rna sequencing |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882931/ https://www.ncbi.nlm.nih.gov/pubmed/33369170 http://dx.doi.org/10.1111/jcmm.16133 |
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