← BioTransfer GEO Dataset Finder
GEO series

High-throughput Transcriptomics Screen of 137 Per- and Polyfluoroalkyl Substances (PFAS) in U-2 OS Cells

GSE297135 Homo sapiens (human) RNA-seq (gene expression) Submitted 2025/06/17
At a glance

RNA-seq (gene expression) · human

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)
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
Insights derived from testing a library of per- and polyfluoroalkyl substances (PFAS) in a battery of new approach methods (NAMs)Journal of toxicology and environmental health. Part B, Critical reviews · 2026
Summary (written by the submitters)
High-throughput transcriptomics (HTTr) was undertaken to quantify and characterize the biological effects of chemicals observed in human-derived in vitro test systems. A set of 137 structurally diverse PFAS was tested using the HTTr assay in the human-derived cell type U-2 OS (osteosarcoma). The PFAS studies were carried out as a part of a larger screening study of a total of 1323 chemicals.
Read the full summary ↓
Chemicals were randomized to treatment plates (cells plus media) in triplicate. Plates also contained reference treatments for quality control purposes. The TempO-Seq human whole transcriptome assay (Yeakley et al., 2017) was used to identify biological pathway altering concentrations (BPACs) and characterize the biological activity of test chemicals. For this analysis, a catalog of 11,037 gene expression signatures collated from multiple public sources were analyzed using concentration-response modeling of signature enrichment scores determined using single-sample gene set enrichment analysis (ssGSEA) (Barbie et al. 2009) with DESeq2-moderated fold change values as input (Love et al. 2014). A sample was considered active if 25 or more signatures were concentration-responsive and the BPAC was calculated as the 5th percentile of benchmark concentrations (BMCs) of active signatures.
Published in
Insights derived from testing a library of per- and polyfluoroalkyl substances (PFAS) in a battery of new approach methods (NAMs)
Patlewicz G, Judson R, Paul Friedman K et al. · Journal of toxicology and environmental health. Part B, Critical reviews 2026 · PMID 40619890 · doi:10.1080/10937404.2025.2521615
This dataset
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.

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 GSE297135_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1256856 and SRA study SRP582178. Searching any of these in the dataset finder brings you back here.

Samples in this study

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

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.