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Transcriptome data of monocytes from adolescents with obesity and age / sex matched controls

GSE226280 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2024/04/01 Platform GPL23227
At a glance

RNA-seq (gene expression) · human · 22 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
22 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.
Paper
Increased innate immune responses in adolescents with obesity and its relation to subclinical cardiovascular measures: An exploratory studyiScience · 2024
Summary (written by the submitters)
Trained immunity is the phenomenon whereby innate immune cells such as monocytes or macrophages undergo functional reprogramming after exposure to certain microbial components, diets, or metabolites, altering their responses to future exposures. Trained immunity is observed in hypercholesterolemia, dislipidemia, and in response to high fat diet. In this study monocytes from obese adolescents and controls were exposed to microbial stimulation in vitro or media alone, and transcriptional profiles were generated.
Published in
Increased innate immune responses in adolescents with obesity and its relation to subclinical cardiovascular measures: An exploratory study
Bekkering S, Saner C, Novakovic B et al. · iScience 2024 · PMID 38741712 · doi:10.1016/j.isci.2024.109762
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 GSE226280_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 PRJNA939519 and SRA study SRP424925. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 22 more — browse all 22 samples with per-sample file links →

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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.