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Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts

Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD developmen...

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Autores principales: Shved, Natallia, Warsow, Gregor, Eichinger, Felix, Hoogewijs, David, Brandt, Simone, Wild, Peter, Kretzler, Matthias, Cohen, Clemens D., Lindenmeyer, Maja T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561250/
https://www.ncbi.nlm.nih.gov/pubmed/28819298
http://dx.doi.org/10.1038/s41598-017-08492-y
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author Shved, Natallia
Warsow, Gregor
Eichinger, Felix
Hoogewijs, David
Brandt, Simone
Wild, Peter
Kretzler, Matthias
Cohen, Clemens D.
Lindenmeyer, Maja T.
author_facet Shved, Natallia
Warsow, Gregor
Eichinger, Felix
Hoogewijs, David
Brandt, Simone
Wild, Peter
Kretzler, Matthias
Cohen, Clemens D.
Lindenmeyer, Maja T.
author_sort Shved, Natallia
collection PubMed
description Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. These correlations were positive and negative and in part compartment-specific. Microarrays of proximal tubular cells and podocytes with stable HIF1α and/or HIF2α suppression displayed cell type-specific HIF1/HIF2-dependencies as well as dysregulation of several pathways. WGCNA analysis identified gene sets that were highly coregulated within modules. Characterization of the modules revealed common as well as cell group- and condition-specific pathways, GO-Terms and transcription factors. Gene expression analysis of the hypoxia-interconnected pathways in patients with different CKD stages revealed an increased dysregulation with loss of renal function. In conclusion, our data clearly point to a compartment- and cell type-specific dysregulation of hypoxia-associated gene transcripts and might help to improve the understanding of hypoxia, HIF dysregulation, and transcriptional program response in CKD.
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spelling pubmed-55612502017-08-21 Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts Shved, Natallia Warsow, Gregor Eichinger, Felix Hoogewijs, David Brandt, Simone Wild, Peter Kretzler, Matthias Cohen, Clemens D. Lindenmeyer, Maja T. Sci Rep Article Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. These correlations were positive and negative and in part compartment-specific. Microarrays of proximal tubular cells and podocytes with stable HIF1α and/or HIF2α suppression displayed cell type-specific HIF1/HIF2-dependencies as well as dysregulation of several pathways. WGCNA analysis identified gene sets that were highly coregulated within modules. Characterization of the modules revealed common as well as cell group- and condition-specific pathways, GO-Terms and transcription factors. Gene expression analysis of the hypoxia-interconnected pathways in patients with different CKD stages revealed an increased dysregulation with loss of renal function. In conclusion, our data clearly point to a compartment- and cell type-specific dysregulation of hypoxia-associated gene transcripts and might help to improve the understanding of hypoxia, HIF dysregulation, and transcriptional program response in CKD. Nature Publishing Group UK 2017-08-17 /pmc/articles/PMC5561250/ /pubmed/28819298 http://dx.doi.org/10.1038/s41598-017-08492-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shved, Natallia
Warsow, Gregor
Eichinger, Felix
Hoogewijs, David
Brandt, Simone
Wild, Peter
Kretzler, Matthias
Cohen, Clemens D.
Lindenmeyer, Maja T.
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
title Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
title_full Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
title_fullStr Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
title_full_unstemmed Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
title_short Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
title_sort transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561250/
https://www.ncbi.nlm.nih.gov/pubmed/28819298
http://dx.doi.org/10.1038/s41598-017-08492-y
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