HCA Data Explorer

Comparative Analysis and Refinement of Human PSC-Derived Kidney Organoid Differentiation with Single-Cell Transcriptomics

Updated June 19, 2024

We analyzed single cell transcriptomes over 80,000 cells isolated from 65 organoids differentiated from iPSCs and ESCs using two different protocols. We find that both protocols generate kidney organoids that contain a diverse range of kidney cells at differing ratios as well as non-renal cell types. We reconstructed lineage relationships during organoid differentiation through pseudotemporal ordering, and identified transcription factor networks associated with fate decisions. When comparing to adult human kidney, we reveal immaturity of all kidney organoid cell types. These results define impressive kidney organoid cell diversity, identify incomplete differentiation as a major roadblock for current directed differentiation protocols and provide a human adult kidney snRNA-seq dataset against which to benchmark future progress. Overall design: Dropseq and 10X Chromium were used to profile organoid cells and adult kidney nuclei

Benjamin D HumphreysWashington University School of Medicine,humphreysbd@wustl.edu
Haojia Wu1
Kohei Uchimura1
Erinn L Donnelly1
Yuhei Kirita1
Samantha A Morris1
Benjamin D Humphreys1
1Washington University School of Medicine,
Wei Kheng Teh

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/16ed4ad8-7319-46b2-8859-6fe1c1d73a82
None
GEO Series Accessions:INSDC Project Accessions:INSDC Study Accessions:

Atlas

KidneyKidney v1.0

Analysis Portals

None

Project Label

GSE118184KidneyOrganoid

Species

Homo sapiens

Sample Type

2 sample types

Anatomical Entity

kidney

Organ Part

cortex of kidney

Selected Cell Types

Unspecified

Model Organ

kidney

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

2 library construction methods

Nucleic Acid Source

2 nucleic acid sources

Paired End

false

File Format

5 file formats

Cell Count Estimate

123.4k

Donor Count

1
bam1 file(s)fastq.gz50 file(s)loom2 file(s)txt.gz11 file(s)xlsx3 file(s)