HCA Data Explorer

The single-cell transcriptomic landscape of early human diabetic nephropathy

Updated June 19, 2024

Diabetic nephropathy is characterized by damage to both the glomerulus and tubulointerstitium, but relatively little is known about accompanying cell-specific changes in gene expression. We performed unbiased single nucleus RNA sequencing (snRNAseq) on cryopreserved human diabetic kidney samples to generate 23,980 single nucleus transcriptomes from three control and three early diabetic nephropathy samples. All major cell types of the kidney were represented in the final dataset. Side by side comparison demonstrated cell-type-specific changes in gene expression that are important for ion transport, angiogenesis, and immune cell activation. In particular, we show that the diabetic thick ascending limb, late distal convoluted tubule, and principal cells all adopt a gene expression signature consistent with increased potassium secretion, including alterations in Na-K+-ATPase, WNK1, mineralocorticoid receptor and NEDD4L expression, as well as decreased paracellular calcium and magnesium reabsorption. We also identify strong angiogenic signatures in glomerular cell types, proximal convoluted tubule, distal convoluted tubule and principal cells. Taken together, these results suggest that increased potassium secretion and angiogenic signaling represent early kidney responses in human diabetic nephropathy.

Benjamin D HumphreysWashington University in St. Louishumphreysbd@wustl.edu
Parker C WilsonWashington University in St. Louisparkerw@wustl.edu
Benjamin D Humphreys (Principal Investigator)1
Parker C Wilson (Experimental Scientist)1
Helmut G Rennke (Experimental Scientist)2
Paul A Welling (Experimental Scientist)3
Sushrut S Waikar (Experimental Scientist)2
Haojia Wu (Experimental Scientist)1
Yuhei Kirita (Experimental Scientist)1
Kohei Uchimura (Experimental Scientist)1
1Washington University in St. Louis
2Brigham and Women's Hospital
3University of Maryland School of Medicine
Parisa Nejad

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/577c946d-6de5-4b55-a854-cd3fde40bff2
None
GEO Series Accessions:

Atlas

KidneyKidney v1.0

Analysis Portals

None

Project Label

Diabetic Nephropathy snRNA-seq

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

cortex

Selected Cell Types

5 cell types

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

24 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 5' v2

Nucleic Acid Source

single nucleus

Paired End

true

File Format

3 file formats

Cell Count Estimate

30.0k

Donor Count

6
fastq.gz28 file(s)tar1 file(s)xlsx2 file(s)