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Effects of Tirzepatide on macrophage polarization, inflammatory factors and atherosclerotic genes in RAW264.7 cells under oxidative low-density lipoprotein

GSE287433 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/08/01 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × RAW264.7 cells, control vs 4 × RAW264.7 cells, oxLDL vs 4 × RAW264.7 cells, tirzepatide vs 4 × RAW264.7 cells, oxLDL and tirzepatideGroups 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)
Tirzepatide (TZP) is a novel dual agonist of glucagon-like peptide -1/glucose-dependent insulinotropic polypeptide receptors. TZP represents a significant advance in the treatment of diabetes and obesity. Clinical trials have shown that TZP significantly reduces cardiovascular risk in patients with diabetes or obese patients who are at high CV risk.
Read the full summary ↓
We report here that TZP exerts anti-atherosclerotic effects by altering macrophage polarization and inflammatory expression. Under oxLDL, the expression of inflammatory factors in RAW264.7 cells increased, and the phenotype of M1 macrophages increased. After TZP treatment, M2 macrophages increased and anti-inflammatory factor expression increased in RAW264.7 cells. In summary, our data provide a new mechanism for TZP in the treatment of oxLDL-induced foam cell formation.
This dataset
Open GSE287433 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 GSE287433_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 PRJNA1212746 and SRA study SRP558362. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × RAW264.7 cells, control vs 4 × RAW264.7 cells, oxLDL vs 4 × RAW264.7 cells, tirzepatide vs 4 × RAW264.7 cells, oxLDL and tirzepatide

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
Datasets on a similar topic

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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.