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Identifying Compounds that Alleviate Acute Hypoxic Stress by Fast-tracking Cellular Adaptation

GSE283995 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2025/01/31 Platform GPL20301
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: 6 × HepG2-Normoxia vs 6 × HepG2-24h-Hypoxia vs 5 × HepG2-6d-HypoxiaGroups 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
A phenopushing platform to identify compounds that alleviate acute hypoxic stress by fast-tracking cellular adaptationNature communications · 2025
Summary (written by the submitters)
Severe acute hypoxic stress is a major contributor to the pathology of human diseases, including ischemic disorders. Current treatments focus on managing consequences of hypoxia, with few addressing cellular adaptation to low-oxygen environments. Here, we hypothesize that accelerating hypoxia adaptation could provide a strategy to alleviate acute hypoxic stress.
Read the full summary ↓
We developed a high-content phenotypic screening platform to identify compounds that fast-track adaptation to hypoxic stress. Our platform captures a high-dimensional phenotypic hypoxia response trajectory consisting of normoxic, acutely stressed, and chronically adapted cell states. Leveraging this trajectory, we identify compounds that phenotypically shift cells from the acutely stressed towards the adapted state, revealing mTOR/PI3K or BET inhibition as strategies to induce this phenotypic shift. Importantly, our compound hits promote the survival of liver cells exposed to ischemia-like stress, and rescue cardiomyocytes from hypoxic stress. Our platform offers a general, target-agnostic strategy to accelerate cellular adaptation, applicable across various stress conditions.
Published in
A phenopushing platform to identify compounds that alleviate acute hypoxic stress by fast-tracking cellular adaptation
Li L, Hammerlindl H, Shen SQ et al. · Nature communications 2025 · PMID 40102413 · doi:10.1038/s41467-025-57754-1
This dataset
Open GSE283995 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 GSE283995_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 PRJNA1196611 and SRA study SRP550660. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40102413) ↗
Study design
6 × HepG2-Normoxia vs 6 × HepG2-24h-Hypoxia vs 5 × HepG2-6d-Hypoxia

Supports a between-group comparison across 17 samples.

How we read this: 3 replicated groups read from 17 sample titles; they account for 17 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
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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.