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Status |
Public on Aug 12, 2017 |
Title |
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts [AB81] |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
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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Overall design |
Immortalized human podocytes (AB81) and human proximal tubular epithelial cells (HK2) with stable HIF1 and/or HIF2 suppression were subjected to normoxia (N, 20 % O2) or hypoxia (H, 1% O2) for 24h and gene expression profiles were generated. 3 replicates per group.
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Contributor(s) |
Shved N, Warsow G, Eichinger FH, Hoogewijs D, Brandt S, Wild P, Kretzler M, Cohen CD, Lindenmeyer MT |
Citation(s) |
28819298 |
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Submission date |
May 25, 2017 |
Last update date |
Jul 25, 2021 |
Contact name |
Felix Eichinger |
E-mail(s) |
eichinge@umich.edu
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Organization name |
The University of Michigan
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Department |
Division of Nephrology
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Street address |
1150 W. Medical Center Drive
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City |
Ann Arbor |
State/province |
Michigan |
ZIP/Postal code |
48109 |
Country |
USA |
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Platforms (1) |
GPL19109 |
[HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array [CDF: Brainarray HGU133Plus2_Hs_ENTREZG_v18] |
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Samples (24)
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GSM2641105 |
AB81 hypoxia, HIF1kd, a |
GSM2641106 |
AB81 hypoxia, HIF1kd, b |
GSM2641107 |
AB81 hypoxia, HIF1kd, c |
GSM2641108 |
AB81, hypoxia, HIF2kd, a |
GSM2641109 |
AB81, hypoxia, HIF2kd, b |
GSM2641110 |
AB81, hypoxia, HIF2kd, c |
GSM2641111 |
AB81, hypoxia, HIF12kd, a |
GSM2641112 |
AB81, hypoxia, HIF12kd, b |
GSM2641113 |
AB81, hypoxia, HIF12kd, c |
GSM2641114 |
AB81, normoxia, wild type, a |
GSM2641115 |
AB81, normoxia, wild type, b |
GSM2641116 |
AB81, normoxia, wild type, c |
GSM2641117 |
AB81, normoxia, HIF1kd, a |
GSM2641118 |
AB81, normoxia, HIF1kd, b |
GSM2641119 |
AB81, normoxia, HIF1kd, c |
GSM2641120 |
AB81, normoxia, HIF2kd, a |
GSM2641121 |
AB81, normoxia, HIF2kd, b |
GSM2641122 |
AB81, normoxia, HIF2kd, c |
GSM2641123 |
AB81, normoxia, HIF12kd, a |
GSM2641124 |
AB81, normoxia, HIF12kd, b |
GSM2641125 |
AB81, normoxia, HIF12kd, c |
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This SubSeries is part of SuperSeries: |
GSE99340 |
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts |
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Relations |
BioProject |
PRJNA388160 |
Supplementary file |
Size |
Download |
File type/resource |
GSE99323_RAW.tar |
125.5 Mb |
(http)(custom) |
TAR (of CEL) |
Processed data included within Sample table |
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