← BioTransfer GEO Dataset Finder
GEO series

Comparative analysis of human kidney organoid and tubuloid models

GSE252055 Homo sapiens (human) RNA-seq (gene expression) 83 samples Submitted 2025/04/30 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 83 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
83 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Comparative Analysis of Human Kidney Organoid and Tubuloid ModelsKidney360 · 2025
Summary (written by the submitters)
Kidney organoids can be generated from commercially available human induced pluripotent stem cells (iPSC). They are amenable for genetic manipulation and useful for modelling development and early-onset genetic diseases. However, iPSC-derived kidney organoids lack longevity to model chronic stressors associated with chronic kidney disease.
Read the full summary ↓
Adult epithelial kidney organoids (tubuloids) derived from nephrectomies or from renal cells suspended in urine can be passaged, expanded and cryopreserved, offering avenues to model epithelial injury and repair over longer timeframes. However, patient-derived organoids face regulatory barriers in their utilization. To leverage the benefits of both models, we establish a new protocol to generate tubuloids from iPSC-derived kidney organoids (iTubuloids). Kidney organoids were produced from iPSCs by directed differentiation then dissociated and cultured under adult organoid culture conditions. Epithelial organoids formed in less than 3 days from three distinct iPSC lines, each of which have been passaged > 12 times. Comparative analysis of gene expression profiles with RNA sequencing suggested that adult-derived tubuloids better represented the collecting duct, and iTubuloids showed increased expression of proximal and some distal markers. However, expression of proximal tubule markers was higher in iPSC-derived kidney organoids than any tubuloid model. We then evaluated the capacity of iTubuloids to model repetitive kidney injury and found exacerbation of the response and signs of failed repair as the injured progressed. Our study affirms capacity to extend the lifespan of epithelial cell types from short-lived iPSC-derived kidney organoids and reveal a need to optimise nephron cell identities in the tubuloid culture.
Published in
Comparative Analysis of Human Kidney Organoid and Tubuloid Models
Nunez-Nescolarde AB, Santos LL, Kong L et al. · Kidney360 2025 · PMID 40418627 · doi:10.34067/KID.0000000834
This dataset
Open GSE252055 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE252055_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1057233 and SRA study SRP480154. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40418627) ↗
Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 83 more — browse all 83 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.