Single-cell RNA sequencing of urinary cells reveals distinct cellular diversity in COVID-19-associated AKI
Updated August 30, 2022Background: Acute kidney injury (AKI) is a common sequela of infection with SARS-CoV-2 and contributes to the severity and mortality from COVID-19. Here, we tested the hypothesis that kidney alterations induced by COVID-19-associated AKI could be detected in cells collected from urine. Methods: We performed single-cell RNA sequencing (scRNAseq) on cells recovered from the urine of eight hospitalized COVID-19 patients with (n=5) or without AKI (n=3) as well as four non-COVID-19 AKI patients (n=4) to assess differences in cellular composition and gene expression during AKI. Results: Analysis of 30,076 cells revealed a diverse array of cell types, most of which were kidney, urothelial, and immune cells. Pathway analysis of tubular cells from patients with AKI showed enrichment of transcripts associated with damage-related pathways compared to those without AKI. ACE2 and TMPRSS2 expression were highest in urothelial cells amongst cell types recovered. Notably, in one patient we detected SARS-CoV-2 viral RNA in urothelial cells. These same cells were enriched for transcripts associated with anti-viral and anti-inflammatory pathways. Conclusions: We successfully performed scRNAseq on urinary sediment from hospitalized patients with COVID-19 to noninvasively study cellular alterations associated with AKI and established a dataset that includes both injured and uninjured kidney cells. Additionally, we provide preliminary evidence of direct infection of urinary bladder cells by SARS-CoV-2. The urinary sediment contains a wealth of information and is a useful resource for studying the pathophysiology and cellular alterations that occur in kidney diseases. Overall design: Single-cell RNA sequencing of cells obtained from urine of patients with COVID-19. There are 12 total samples from 12 separate patients, 5 with COVID19 AKI, 3 with COVID19 without AKI, and 4 with non COVID19 AKI
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Analysis Portals
NoneProject Label
humanUrinaryCellsCovidAKISpecies
Sample Type
Anatomical Entity
Organ Part
Selected Cell Types
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
Library Construction Method
Nucleic Acid Source
Paired End
falseAnalysis Protocol
analysis_protocol_1File Format
Cell Count Estimate
30.1kDonor Count
12