Abstract: TH-PO533
An Omnibus of Transcripts Integrated from More than One Million Nuclei and Cells of Patients with Kidney Diseases Provides Distinct Insights into Disease Mechanisms
Session Information
- Glomerular Diseases: Omics, Biomarkers, and Tools
October 24, 2024 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Glomerular Diseases
- 1401 Glomerular Diseases: Mechanisms, including Podocyte Biology
Authors
- McCown, Phillip J., University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Otto, Edgar A., University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Fermin, Damian, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Hartman, John R., University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Alaba, Mathew Olakunle, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Larkina, Maria, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Arbit, Michael, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Helmuth, Margaret, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Godfrey, Brad A., University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Eddy, Sean, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Mariani, Laura H., University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Naik, Abhijit S., University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
- Hoek, Maarten, Maze Therapeutics Inc, South San Francisco, California, United States
- Satterfield, Terry, Maze Therapeutics Inc, South San Francisco, California, United States
- Kretzler, Matthias, University of Michigan Michigan Medicine, Ann Arbor, Michigan, United States
Group or Team Name
- NEPTUNE Consortium.
Background
Single nuclear RNA sequencing (snRNAseq) of biopsies affords insight to molecular and cellular pathways in kidneys. In the NEPTUNE consortium, biopsy samples of participants with nephrotic syndrome (NS) have been curated for snRNAseq. While small studies have provided insights using subsets of samples, an omnibus of transcriptional data from numerous samples may aid further discovery and research.
Methods
snRNAseq (n=11) and single cell RNA sequencing (n=47) from kidney biopsies from healthy living donors and transplant recipients in the Michigan HKTTA study were integrated with snRNAseq of 120 biopsies from patients with FSGS, MCD, IgAN, and other kidney diseases enrolled in the NEPTUNE Consortium to identify clusters of cells. Whole genome sequencing data from blood samples of 90 NEPTUNE participants were used to assess APOL1 genotype.
Results
Nuclei and cells (n=1,047,781) resolved into 28 clusters of kidney resident and non-resident cell types, including a novel cluster of transitioning parietal epithelial cells. APOL1 risk alleles were present in 90 participants. Among kidney cell types, we observed the strongest correlation between APOL1 mRNA levels and JAK-STAT activity in podocytes in participants with FSGS with at least one copy of the G1 APOL1 risk allele.
Conclusion
This Omnibus of CElls And Nuclei (OCEAN) from NEPTUNE participants with NS and IgAN is a large set of molecular and clinical data that allows unique analyses that can provide novel insights into mechanisms of kidney diseases
A UMAP of over 1 million nuclei and cells in OCEAN
Funding
- NIDDK Support – Maze Therapeutics