← BioTransfer GEO Dataset Finder
GEO series

Acetaldehyde Induced Cell Damage and Genotoxic Effects by Modulating PI3K/AKT and MAPK/ERK Pathways in Human Lung Epithelial Cells

GSE289892 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2025/02/21 Platform GPL30209
At a glance

RNA-seq (gene expression) · human · 17 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
17 samples
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)
Long-term acetaldehyde exposure is associated with cell death, oxidative stress, and DNA damage in lung injury such as chronic obstructive pulmonary disease and respiratory distress syndrome, but the signal transduction mechanism linking key processes remains largely unknown. This study aims to reveal molecular mechanisms of cytotoxicity and genotoxicity induced by acetaldehyde based on human bronchial epithelial cells.
Read the full summary ↓
Firstly, RNA-seq analysis indicated that differentially expressed genes are most enriched in MAPK/ERK and PI3K/AKT pathways. Secondly, significant up-regulation of four key signaling proteins was confirmed. Subsequently, we found that inhibitors of these pathways could significantly reduce cytotoxicity, oxidative stress, and genotoxicity induced by acetaldehyde. Finally, gene silencing was employed to further validate the importance of these pathways, and toxic effects were more effectively alleviated. Our research suggests that acetaldehyde-induced cell damage and genotoxic effects through PI3K/AKT and MAPK/ERK pathways, provide new insights into toxic mechanisms of acetaldehyde-induced lung injury.
This dataset
Open GSE289892 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 GSE289892_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 PRJNA1225259 and SRA study SRP564691. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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

+ 17 more — browse all 17 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.