Urinary single-cell sequencing captures intrarenal injury and repair processes in human acute kidney injury
Jan KlockeiD, Seung Joon KimiD, Christopher Mark SkopnikiD, Christian HinzeiD, Anastasiya BoltengageniD, Diana MetzkeiD, Emil GrothgariD, Luka PrskaloiD, Leonie Felicitas WagneriD, Paul A. FreundiD, Nina GoerlichiD, Frédéric MuenchiD, Kai Martin Schmidt-OttiD, Mir‐Farzin MashreghiiD, Christine KocksiD, Kai‐Uwe EckardtiD, Nikolaus RajewskyiD, Philipp EnghardiD
Abstract
Acute kidney injury (AKI) is a major health issue, the outcome of which depends primarily on damage and reparative processes of tubular epithelial cells (TEC). Mechanisms underlying AKI remain incompletely understood, specific therapies are lacking and monitoring the course of AKI in clinical routine is confined to measuring urine output and plasma levels of filtration markers. Here we demonstrate feasibility and potential of a novel approach to assess the cellular and molecular dynamics of AKI by establishing a robust urine-to-single cell RNA sequencing (scRNAseq) pipeline for excreted kidney cells via flow cytometry sorting. We analyzed 42,608 single cell transcriptomes of 40 urine samples from 32 AKI patients and compared our data with reference material from human AKI post-mortem biopsies and published mouse data. We demonstrate that TEC transcriptomes mirror intrarenal pathology and reflect distinct injury and repair processes, including oxidative stress, inflammation, and tissue rearrangement. We also describe an AKI-specific abundant urinary excretion of progenitor-like cells. In conclusion, single cell transcriptomics of kidney cells excreted in urine provides non-invasive, unprecedented insight into cellular processes underlying AKI, thereby opening novel opportunities for target identification, AKI sub-categorization and monitoring of natural disease course and interventions. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/479234v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@e7175corg.highwire.dtl.DTLVardef@1aed1e6org.highwire.dtl.DTLVardef@5655f4org.highwire.dtl.DTLVardef@2512a7_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 69
- FWCI
- 7.77
- Field percentile
- top 2%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Cell profiling of mouse acute kidney injury reveals conserved cellular responses to injury
Yuhei Kirita, Hao Wu, … Benjamin D. Humphreys·Proceedings of the National Academy of SciencesPeer-reviewed·Jun 22, 2020
- Transcriptomic responses of the human kidney to acute injury at single cell resolution
Christian Hinze, Christine Kocks, … Kai Martin Schmidt-Ott·bioRxiv·Dec 15, 2021
- Single Cell Profiling of Acute Kidney Injury Reveals Novel Transcriptional Signatures, Mixed Identities and Epithelial-to-Stromal Crosstalk
Valeria Rudman-Melnick, Mike Adam, … S. Steven Potter·Journal of the American Society of NephrologyPeer-reviewed·Oct 28, 2020
- Integration of spatial transcriptomic and single cell sequencing identifies expression patterns underlying immune and epithelial cell cross-talk in acute kidney injury
Ricardo Melo Ferreira, Angela R. Sabo, … Michael T. Eadon·bioRxiv·Jan 19, 2021
- Kidney single-cell atlas reveals myeloid heterogeneity in progression and regression of kidney disease.
B. R. Conway, E. D. O'Sullivan, … L. Denby·bioRxiv·May 14, 2020
- Single-cell RNA sequencing identifies response of renal lymphatic endothelial cells to acute kidney injury
H. A. Creed, S. Kannan, … J. M. Rutkowski·bioRxiv·Jun 9, 2023