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Prolonged duration induces divergent transcriptomic responses to manganese, distinct from concentration effects, in an SH-SY5Y neurotoxicity model

GSE327797 Homo sapiens (human) RNA-seq (gene expression) 60 samples Submitted 2026/04/16 Platform GPL34284
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: 12 conditions, mostly with about 5 replicates eachGroups 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
Prolonged duration induces divergent transcriptomic responses to manganese, distinct from concentration effects, in an SH-SY5Y neurotoxicity modelNeurotoxicology · 2026
Summary (written by the submitters)
Understanding manganese (Mn) neurotoxicity requires experimental models that realistically reflect human exposure scenarios. A key limitation of current in vitro paradigms is the reliance on acute, high-concentration exposures, which may not accurately capture the molecular consequences of long-term Mn accumulation. To address this, this study compared transcriptomic responses to acute (6-hour) and chronic (40-day) Mn exposures in SH-SY5Y cells, using Mn concentrations spanning near-physiological to sub-cytotoxic ranges.
Read the full summary ↓
The 6-hour exposure design replicates a widely applied acute duration in the literature, while the 40-day duration was selected to mimic prolonged, low-level Mn burden reported in epidemiological and occupational studies. Bulk RNA sequencing revealed that chronic Mn exposure induced distinct and more extensive transcriptional alterations compared to acute exposure, independent of concentration. Pathway enrichment analyses indicated that cellular functions selectively perturbed under chronic conditions are highly relevant to neurodegenerative risks and aligns with independent Parkinson’s disease transcriptomic datasets. These pathways include axonal guidance signaling, amyloid fiber formation, extracellular matrix organization, and synaptic functioning. In contrast, acute exposures primarily disturbed intracellular ion homeostasis maintenance mechanisms. Protein kinase A signaling and metallothionein-mediated metal-binding pathway were the only two pathways that were shared between both applied durations exposed at Mn concentrations with reported adverse outcomes. Transcriptomic alterations in this study highlighted the contribution of mechanisms related to normal Mn-dependent cellular functions in the development of its neurotoxicity. Furthermore, these results emphasized that exposure duration is a critical determinant to be considered when evaluating long-term Mn overload-induced neurodegeneration via in vitro platforms.
Published in
Prolonged duration induces divergent transcriptomic responses to manganese, distinct from concentration effects, in an SH-SY5Y neurotoxicity model
Tang X, Baloni P, Aschner M et al. · Neurotoxicology 2026 · PMID 41587622 · doi:10.1016/j.neuro.2026.103393
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 GSE327797_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 PRJNA1452827 and SRA study SRP691316. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly with about 5 replicates each
SY5Y, 6h, 0 uM Mn ×5 SY5Y, 6h, 0.05 uM Mn ×5 SY5Y, 6h, 0.5 uM Mn ×5 SY5Y, 6h, 5 uM Mn ×5 SY5Y, 6h, 50 uM Mn ×5 SY5Y, 6h, 100 uM Mn ×5 SY5Y, 40d, 0 uM Mn ×5 SY5Y, 40d, 0.01 uM Mn ×5 +4 more

Supports a between-group comparison across 60 samples.

How we read this: 12 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

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