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Series GSE262793 Query DataSets for GSE262793
Status Public on Apr 02, 2024
Title Integrative transcriptome and proteome profiling of insulin-resistant kidney cell models and patient biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Diabetic kidney disease (DKD) is the leading cause of end stage kidney failure worldwide. It is now clear that cellular insulin resistance is a major driver of this disease. Using established human conditionally immortalised podocytes (Pods), glomerular endothelial cells (GECs), mesangial cells (MCs), and proximal tubular cells (PTCs), we modelled both insulin sensitivity and insulin resistance and performed simultaneous transcriptomics and proteomics for integrated analysis. Our data was further compared with bulk- and single-cell transcriptomic kidney biopsy data from early- and advanced-stage DKD patient cohorts. We identified several consistent changes (individual genes, proteins, and molecular pathways) occurring across all insulin-resistant kidney cell types, which were replicated in human early- and/or advanced-stage DKD biopsies. These included the genes CTSS, NRBF2, C3, CXCL1, TFPI2 and PFKFB3, and pathways related to the inflammatory response, ER stress and glycoprotein metabolism. We further identified several cell-line-specific molecular changes occurring in response to insulin resistance, which were replicated in single-cell sequencing data from DKD, together with a selective reduction in mitochondrial function in Pods, MCs and PTC, but not GECs. This study provides a rich data resource to direct future studies in elucidating underlying kidney signalling pathways and potential therapeutic targets in DKD.
 
Overall design Conditionally immortalised human glomerular endothelial cells (GECs), podocytes (Pods), mesangial cells (MCs) and proximal tubular cells (PTCs) were studied in vitro in a basal and insulin resistant environment (consisting of 1ng/ml TNFα, 1ng/ml IL-6, 25mM glucose and 100nmol/L insulin). Insulin-sensitive cell lines were established via stable overexpression of the human insulin receptor.
 
Citation(s) 39562547
BioProject PRJNA905899
Submission date Mar 29, 2024
Last update date Feb 18, 2025
Contact name Richard Coward
Organization name Bristol Royal hospital for Sick Children & University of Bristol
Department Bristol Medical School
Street address Dorothy Hodgkin Building, Whitson Street, Bristol
City Lausanne
ZIP/Postal code BS1 3NY
Country United Kingdom
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (80)
GSM8179380 ABN__Basal_GTG_IMI_65
GSM8179381 ABN__Basal_GTG_IMI_69
GSM8179382 ABN__Basal_GTG_IMI_73

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE262793_ABN_IR_counts.tsv.gz 568.5 Kb (ftp)(http) TSV
GSE262793_ABN_counts.tsv.gz 577.3 Kb (ftp)(http) TSV
GSE262793_DE.tar.gz 4.6 Mb (ftp)(http) TAR
GSE262793_GEnC_IR_counts.tsv.gz 556.2 Kb (ftp)(http) TSV
GSE262793_GEnC_counts.tsv.gz 562.7 Kb (ftp)(http) TSV
GSE262793_K29_IR_counts.tsv.gz 564.5 Kb (ftp)(http) TSV
GSE262793_K29_counts.tsv.gz 562.7 Kb (ftp)(http) TSV
GSE262793_PT34_IR_counts.tsv.gz 586.4 Kb (ftp)(http) TSV
GSE262793_PT34_counts.tsv.gz 575.1 Kb (ftp)(http) TSV
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Raw data are available in SRA

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