HCA Data Explorer

Single-cell profiling of healthy human kidney reveals features of sex-based transcriptional programs and tissue-specific immunity

Updated April 21, 2023

Knowledge of the transcriptional programs underpinning the functions of human kidney cell populations at homeostasis is limited. We present a single-cell perspective of healthy human kidney from 19 living donors, with equal contribution from males and females, profiling the transcriptome of 27677 cells to map human kidney at high resolution. Sex-based differences in gene expression within proximal tubular cells were observed, specifically, increased anti-oxidant metallothionein genes in females and aerobic metabolism-related genes in males. Functional differences in metabolism were confirmed in proximal tubular cells, with male cells exhibiting higher oxidative phosphorylation and higher levels of energy precursor metabolites. We identified kidney-specific lymphocyte populations with unique transcriptional profiles indicative of kidney-adapted functions. Significant heterogeneity in myeloid cells was observed, with a MRC1+LYVE1+FOLR2+C1QC+ population representing a predominant population in healthy kidney. This study provides a detailed cellular map of healthy human kidney, and explores the complexity of parenchymal and kidney-resident immune cells.

Ana KonvalinkaToronto General Hospital Research Institute, University Health Networkana.Konvalinka@uhn.ca
Sarah Q CromeToronto General Hospital Research Institute, University Health Networksarah.crome@utoronto.ca
Caitriona M McEvoy1
Julia M Murphy1
Lin Zhang2
Sergi Clotet-Freixas1
Jessica A Mathews1
James An1
Mehran Karimzadeh3
Delaram Pouyabahar2
Shenghui Su1
Olga Zaslaver2
Hannes Röst2
Rangi Arambewela1
Lewis Y Liu1
Sally Zhang4
Keith A Lawson4
Antonio Finelli4
Bo Wang3
Sonya A MacParland1
Gary D Bader2
Ana Konvalinka1
Sarah Q Crome1
1Toronto General Hospital Research Institute, University Health Network
2University of Toronto
3Peter Munk Cardiac Centre, University Health Network
4Princess Margaret Cancer Centre, University Health Network
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/77c13c40-a598-4036-807f-be09209ec2dd

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://cells.ucsc.edu/?ds=living-donor-kidney
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Atlas

None

Analysis Portals

UCSC Cell BrowserUCSC Cell Browser

Project Label

KidneySexBasedTranscriptome

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

Unspecified

Selected Cell Types

leukocyte

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

10x 3' v3

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

processed_matrix_generation, raw_matrix_generation

File Format

4 file formats

Cell Count Estimate

27.7k

Donor Count

19
fastq.gz114 file(s)mtx.gz19 file(s)tsv.gz41 file(s)xlsx1 file(s)