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Effects of trans, trans-2,4-decadienal on gene expression in ARPE-19 cells

GSE304866 Homo sapiens (human) RNA-seq (gene expression) 6 samples Submitted 2026/08/07 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 6 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
6 samples: 3 × ARPE-19 cells, tt-DDE, 24h, vs 2 × ARPE-19 cells, DMSO, 24h,Groups 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.
Summary (written by the submitters)
trans, trans-2,4-decadienal (tt-DDE) is a toxic compound generated during frying processes. Emerging evidence suggests its potential role in inducing age-related macular degeneration (AMD), a leading cause of vision loss in older adults. To investigate the underlying mechanisms, we performed transcriptome sequencing on ARPE-19 cells following a 24-hour treatment with tt-2,4-DDE.
Read the full summary ↓
The results revealed significant alterations in the expression of genes involved in pathways regulating endomembrane system homeostasis, including those associated with the endoplasmic reticulum, Golgi apparatus, and lysosomes. These findings indicate that tt-2,4-DDE may disrupt endomembrane system function in retinal pigment epithelial cells, providing novel insights into the molecular basis by which environmental toxicants like tt-2,4-DDE could contribute to AMD pathogenesis.
This dataset
Open GSE304866 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 GSE304866_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 PRJNA1303095 and SRA study SRP607359. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × ARPE-19 cells, tt-DDE, 24h, vs 2 × ARPE-19 cells, DMSO, 24h,

Supports a between-group comparison across 5 samples.

How we read this: 2 replicated groups read from 6 sample titles; they account for 5 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
Datasets on a similar topic

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