GEO series

Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by cis- and trans-regulation of AP-1 target genes [RNA-Seq]

GSE274016 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/07/28 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 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: Mus musculus (mouse)
Samples: 24 samples: 24 samples, each with a distinct title — no replicated groupsGroups 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.

Summary (written by the submitters)

The nuclear receptor Nur77 plays a crucial, protective role in chronic inflammatory diseases and deficiency of Nur77 in macrophages results in excessive pro-inflammatory cytokine secretion. Previous research suggested that Nur77's regulatory function in inflammation is due to repression of the pro-inflammatory transcription factor NF-ĸB, but the underlying mechanism remains unclear.

Read the full summary ↓

To address this, we applied a genome-wide, multi-omics approach in LPS-stimulated RAW264.7 macrophages with inducible Nur77 expression. Key findings were validated in wild-type and Nur77-deficient bone marrow-derived macrophages. We show that Nur77 suppresses the expression of inflammatory genes through a dual mechanism wherein Nur77 acts as a repressor of AP-1 targets at two levels: First, Nur77 occupies regulatory elements proximal to AP-1 target genes through AP-1 motifs and second, Nur77 regulates the expression of AP-1 family members themselves. These repressive activities of Nur77 result in diminished RNA Pol II on AP-1 genes and their targets. The first zinc finger of the Nur77 DNA-binding domain is required to reduce AP-1 activity. In summary, Nur77 represses macrophage inflammation through regulation of both immediate-early AP-1 expression, as well as inhibition of AP-1-driven gene programs.

This dataset

Open GSE274016 in finder → Find more mouse 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 GSE274016_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 PRJNA1144474 and SRA study SRP524263. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. 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

GSM8441834 GFP1_0h
GSM8441835 GFP2_0h
GSM8441836 GFP3_0h
GSM8441837 GFP4_0h
GSM8441838 GFP1_1h
GSM8441839 GFP2_1h
GSM8441840 GFP3_1h
GSM8441841 GFP4_1h
GSM8441842 GFP1_5h
GSM8441843 GFP2_5h
GSM8441844 GFP3_5h
GSM8441845 GFP4_5h
GSM8441846 Nur77_1_0h
GSM8441847 Nur77_2_0h
GSM8441848 Nur77_3_0h
GSM8441849 Nur77_4_0h
GSM8441850 Nur77_1_1h
GSM8441851 Nur77_2_1h
GSM8441852 Nur77_3_1h
GSM8441853 Nur77_4_1h
GSM8441854 Nur77_1_5h
GSM8441855 Nur77_2_5h
GSM8441856 Nur77_3_5h
GSM8441857 Nur77_4_5h

Datasets on a similar topic

GSE273993 Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by cis- and trans-regulation of AP-1 target genes [ChIP-Seq] 26 samples shares nur77, ap-1, trans-regulation, macrophages, primarily, receptor, resolves, nuclear
GSE325918 Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by regulating expression of AP-1 transcription factors and their target genes [RNA-seq] 32 samples shares nur77, ap-1, macrophages, primarily, receptor, resolves, nuclear
GSE326173 Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by regulating expression of AP-1 transcription factors and their target genes [ChIP-seq] 42 samples shares nur77, ap-1, macrophages, primarily, receptor, resolves, nuclear
GSE250551 Targeting inflammation with chimeric antigen receptor macrophages using a signal switch 32 samples shares macrophages, receptor
GSE272424 Rejuvenating endogenous antitumor immunity via a chimeric receptor-engineered oncolytic virus targeting tumor-associated macrophages 6 samples shares macrophages, receptor
GSE310740 Modulating AP-1 enables CAR-T cells to establish an intratumoral stem-like reservoir and overcomes resistance to PD-1 blockade 16 samples shares ap-1
GSE202753 DsbA-L deficiency attenuates LPS-induced acute kidney injury via NF-κB/AP-1 regulation of macrophage polarization 13 samples shares ap-1
GSE269844 Dissecting AP-1 complexity in hepatic health and disease using Genetically Modified Mice 12 samples shares ap-1

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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.