Transcriptomics

Dataset Information

0

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


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE99339 | GEO | 2017/08/12

SECONDARY ACCESSION(S): PRJNA388165

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2017-08-12 | GSE99324 | GEO
2017-08-12 | GSE99323 | GEO
2017-08-12 | GSE99325 | GEO
2013-01-30 | E-SMDB-23 | biostudies-arrayexpress
2021-07-22 | MTBLS3003 | MetaboLights
2021-07-22 | MTBLS3056 | MetaboLights
2023-11-15 | GSE234719 | GEO
2005-07-20 | E-GEOD-2963 | biostudies-arrayexpress
2023-06-07 | GSE224177 | GEO
2015-07-10 | E-GEOD-67237 | biostudies-arrayexpress