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Environmentally Relevant Lead Exposure Impacts Gene Expression in SH-SY5Y Cells Throughout Neuronal Differentiation

GSE290435 Homo sapiens (human) RNA-seq (gene expression) 60 samples Submitted 2025/11/14 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 60 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
60 samples: 20 conditions, mostly in triplicateGroups 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
Environmentally relevant lead exposure impacts gene expression in SH-SY5Y cells throughout neuronal differentiationToxicological sciences : an official journal of the Society of Toxicology · 2025
Summary (written by the submitters)
We performed high throughput transcriptomic analysis of SH-SY5Y cells during neural differentiation following continuous exposure to lead (Pb).
Published in
Environmentally relevant lead exposure impacts gene expression in SH-SY5Y cells throughout neuronal differentiation
Morgan RK, Tapaswi A, Polemi KM et al. · Toxicological sciences : an official journal of the Society of Toxicology 2025 · PMID 40397994 · doi:10.1093/toxsci/kfaf072
This dataset
Open GSE290435 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 GSE290435_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 PRJNA1228023 and SRA study SRP566211. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40397994) ↗
Study design
20 conditions, mostly in triplicate
9_10uM ×3 15_1.26uM ×3 9_1.26uM ×3 9_0.16uM ×3 15_0.16uM ×3 6_0uM ×3 9_0uM ×3 12_0uM ×3 +12 more

Supports a between-group comparison across 60 samples.

How we read this: 20 replicated groups read from 60 sample titles; they account for 60 of them. 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

+ 20 more — browse all 60 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.