Journal article
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Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
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Shved, Natallia
Institute of Physiology and Division of Nephrology, University of Zurich, Switzerland
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Warsow, Gregor
Department of Anatomy and Cell Biology, Universitätsmedizin Greifswald, Germany - Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ), Heidelberg, Germany
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Eichinger, Felix
Department of Medicine, University of Michigan, Ann Arbor, USA
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Hoogewijs, David
Department of Medicine/Physiology, University of Fribourg, Switzerland - Institute of Physiology and Division of Nephrology, University of Zurich, Switzerland
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Brandt, Simone
Institute of Pathology Molecular Pathology, University Hospital Zurich, Switzerland
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Wild, Peter
Institute of Pathology Molecular Pathology, University Hospital Zurich, Switzerland
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Kretzler, Matthias
Department of Medicine, University of Michigan, Ann Arbor, USA
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Cohen, Clemens D.
Institute of Physiology and Division of Nephrology, University of Zurich, Switzerland - Nephrological Center, Medical Clinic and Policlinic IV, University of Munich, Germany
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Lindenmeyer, Maja T.
Institute of Physiology and Division of Nephrology, University of Zurich, Switzerland - Nephrological Center, Medical Clinic and Policlinic IV, University of Munich, Germany
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Published in:
- Scientific Reports. - 2017, vol. 7, no. 1, p. 8576
English
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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Faculty
- Faculté des sciences et de médecine
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Department
- Département de Médecine
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Language
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Classification
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Biological sciences
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License
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License undefined
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Identifiers
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Persistent URL
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https://folia.unifr.ch/unifr/documents/306023
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