HCA Data Explorer

Multimodal single cell sequencing of human diabetic kidney disease implicates chromatin accessibility and genetic background in disease progression

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Updated October 11, 2023

Multimodal single cell sequencing is a powerful tool for interrogating cell-specific changes in transcription and chromatin accessibility. We performed single nucleus RNA (snRNA-seq) and assay for transposase accessible chromatin sequencing (snATAC-seq) on human kidney cortex from donors with and without diabetic kidney disease (DKD) to identify altered signaling pathways and transcription factors associated with DKD. Both snRNA-seq and snATAC-seq had an increased proportion of VCAM1+ injured proximal tubule cells (PT_VCAM1) in DKD samples. PT_VCAM1 has a pro-inflammatory expression signature and transcription factor motif enrichment implicated NFkB signaling. We used stratified linkage disequilibrium score regression to partition heritability of kidney-function-related traits using publicly-available GWAS summary statistics. Cell-specific PT_VCAM1 peaks were enriched for heritability of chronic kidney disease (CKD), suggesting that genetic background may regulate chromatin accessibility and DKD progression. snATAC-seq found cell-specific differentially accessible regions (DAR) throughout the nephron that change accessibility in DKD and these regions were enriched for glucocorticoid receptor (GR) motifs. Changes in chromatin accessibility were associated with decreased expression of insulin receptor, increased gluconeogenesis, and decreased expression of the GR cytosolic chaperone, FKBP5, in the diabetic proximal tubule. Cleavage under targets and release using nuclease (CUT&RUN) profiling of GR binding in bulk kidney cortex and an in vitro model of the proximal tubule (RPTEC) showed that DAR co-localize with GR binding sites. CRISPRi silencing of GR response elements (GRE) in the FKBP5 gene body reduced FKBP5 expression in RPTEC, suggesting that reduced FKBP5 chromatin accessibility in DKD may alter cellular response to GR. We developed an open-source tool for single cell allele specific analysis (SALSA) to model the effect of genetic background on gene expression. Heterozygous germline single nucleotide variants (SNV) in proximal tubule ATAC peaks were associated with allele-specific chromatin accessibility and differential expression of target genes within cis-coaccessibility networks. Partitioned heritability of proximal tubule ATAC peaks with a predicted allele-specific effect was enriched for eGFR, suggesting that genetic background may modify DKD progression in a cell-specific manner.

Benjamin HumphreysWashington University in St. Louishumphreysbd@wustl.edu
Parker Wilson1
Yoshiharu Muto1
Haojia Wu1
Anil Karihaloo1
Sushrut Waikar2
Benjamin Humphreys1
1Washington University in St. Louis
2Brigham and Women's Hospital
None

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/3d49e5e5-976f-44cb-b6b9-079016c31c56

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://cellxgene.cziscience.com/collections/b3e2c6e3-9b05-4da9-8f42-da38a664b45b
GEO Series Accessions:INSDC Study Accessions:INSDC Project Accessions:

Atlas

None

Analysis Portals

CZ CELLxGENECZ CELLxGENE

Project Label

Multimodalsinglecellsequencingofhumandiabetickidne

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

cortex of kidney

Selected Cell Types

Unspecified

Disease Status (Specimen)

Unspecified

Disease Status (Donor)

19 disease statuses

Development Stage

8 development stages

Library Construction Method

3 library construction methods

Nucleic Acid Source

single nucleus

Paired End

false

File Format

fastq

Cell Count Estimate

90.8k

Donor Count

8
fastq46 file(s)