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Transcriptomic Analysis of WT and IGF2BP2 KO Macrophages Reveals Metabolic Alterations

GSE292558 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/01 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 12 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
Mus musculus (mouse)
Samples
12 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
IGF2BP2 Deficiency in Macrophages Impairs Migration, Reprograms Metabolism, and Limits Tumor ProgressionInternational journal of biological sciences · 2026
Summary (written by the submitters)
This dataset contains RNA-Seq data from wild-type (WT) and IGF2BP2 knockout (KO) bone marrow-derived macrophages (BMMs) under basal and IL-4-stimulated conditions. Loss of IGF2BP2 led to significant transcriptional changes, particularly in genes regulating metabolism, mitochondrial function, and cell migration. Pathway analysis revealed a metabolic shift toward glycolysis and reduced migratory capacity. Details: Int J Biol Sci 2026; 22(6):2754-2773. doi:10.7150/ijbs.122142
Published in
IGF2BP2 Deficiency in Macrophages Impairs Migration, Reprograms Metabolism, and Limits Tumor Progression
Schymik HS, Wrublewsky S, Höring M et al. · International journal of biological sciences 2026 · PMID 41943844 · doi:10.7150/ijbs.122142
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 GSE292558_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 PRJNA1238510 and SRA study SRP571772. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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