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Effect of chronic hypoxia and role of stearoyl-CoA desaturase 1 (SCD1) on the inflammatory response of human primary macrophages

GSE286526 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/07/01 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 6 × siCtrl normoxia vs 6 × siSCD1 normoxia vs 6 × siCtrl hypoxia vs 6 × siSCD1 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
Macrophage fatty acid metabolism under chronic hypoxia shapes γδ T cell recruitment via CCL22iScience · 2025
Summary (written by the submitters)
A hypoxic microenvironment in solid tumors frequently is associated with poor outcome due to metabolic adaptation of cells in the tumor microenvironment that supports tumor cells survival and proliferation. However, little is known about how macrophages (MФ) metabolically and phenotypically adapt to chronic hypoxia (CH) and how this in turn affects tumor-associated inflammation.
Read the full summary ↓
Here, we subjected MФs to CH to compare their inflammatory phenotype with normoxic MФs. In addition, we transfected SCD1, the rate-limiting enzyme of fatty acid desaturation, to investigate its role in MФ adaptation to oxygen shortage and its contribution to the inflammatory function.
Published in
Macrophage fatty acid metabolism under chronic hypoxia shapes γδ T cell recruitment via CCL22
Guerrero Ruiz VM, Khabaza A, Bauer R et al. · iScience 2025 · PMID 40697830 · doi:10.1016/j.isci.2025.113025
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 GSE286526_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 PRJNA1209864 and SRA study SRP556985. Searching any of these in the dataset finder brings you back here.

Study design
6 × siCtrl normoxia vs 6 × siSCD1 normoxia vs 6 × siCtrl hypoxia vs 6 × siSCD1 hypoxia

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 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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