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Comparative Analysis of Proximal Tubule Cell Sources for in vitro Studies of Renal Toxicity

GSE268877 Homo sapiens (human) RNA-seq (gene expression) 23 samples Submitted 2025/04/02 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 23 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
23 samples: 23 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
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 Proximal Tubule Cell Sources for In Vitro Studies of Renal Proximal Tubule ToxicityBiomedicines · 2025
Summary (written by the submitters)
The kidneys are essential for eliminating drugs and chemicals from the human body, with renal epithelial cells being particularly vulnerable to damage caused by xenobiotics and their metabolites. Predicting renal toxicity before clinical trials remains a pressing challenge, necessitating more predictive in vitro models. However, the abundance of commercially available renal proximal tubule epithelial cell (RPTEC) sources complicates the selection of the most predictive cell types.
Read the full summary ↓
This study compared RPTEC sources, including primary cells (Lonza) and various RPTEC lines, such as ciPTECs (Cell4Pharma), TERT1/RPTECs (ATCC), and HEK293 (GenoMembrane), alongside HepG2 cells for specificity comparison. We tested these cells' responses to 12 drugs to evaluate their predictive capabilities. Cells were cultured in 96-well or 384-well plates and exposed to drugs for 72 hours at concentrations ranging from 0.3 to 300 µM. The CellTiterGlo® assay measured cell viability, and transcriptome data from unexposed cells analyzed gene expression profiles using the TempO-seq® S1500+ panel. Cell viability data determined points of departure (PODs), compared to human serum Cmax,free values to assess safety margins. Gene expression showed primary kidney cells closely matched the human kidney medulla, followed by TERT1 and ciPTEC lines, with HEK lines showing the least correlation. This study highlights differences among RPTEC sources and their utility in drug safety studies for the renal proximal tubule, emphasizing unique gene expression patterns related to metabolism, ion transport, and cell development, which are vital for improving predictive models in renal toxicity assessment.
Published in
Comparative Analysis of Proximal Tubule Cell Sources for In Vitro Studies of Renal Proximal Tubule Toxicity
Sakolish C, Tsai HD, Lin HC et al. · Biomedicines 2025 · PMID 40149543 · doi:10.3390/biomedicines13030563
This dataset
Open GSE268877 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 GSE268877_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 PRJNA1119370 and SRA study SRP511301. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40149543) ↗
Study design
23 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 23 sample titles: 23 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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