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Macrophage-based delivery of interleukin-10 alleviates atherosclerosis

GSE248791 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/01/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Macrophages overexpressing interleukin-10 target and prevent atherosclerosis: Regression of plaque formation and reduction in necrotic coreBioengineering & translational medicine · 2025
Summary (written by the submitters)
Background: Arteriosclerosis (AS) involves arterial inflammation. Using macrophage-based drug delivery system, we aim to enhance local drug concentration, especially for short-lived anti-inflammatory molecules like interleukin-10. Our study intervenes in plaque progression by boosting IL-10 expression in macrophages lentiviral transfection and introducing these anti-inflammatory cells into Apoe-/- mice.
Read the full summary ↓
Methods: We engineered RAW264.7 cells to overexpress IL-10 (referred to as IL-10M) using lentivirus vectors. Subsequent in vitro experiments were conducted to validate the effects and cellular functions of IL-10M. Fluorescence imaging allowed us to track the localization of IL-10M at atherosclerotic plaque sites after intravenous (IV) injection in Apoe-/- mice. We administered periodic injections of IL-10M at different stages of plaque progression in AS mice to assess its therapeutic impact on plaque advancement. Following the intervention, we collected samples from major organs and serum to evaluate the safety of IL-10M treatment. Results: Our engineered IL-10M exhibits robust IL-10 secretion, maintaining macrophage phagocytic function, and showing a tendency toward an M2 phenotype when exposed to inflammatory stimuli. Upon intravenous IL-10M administration, fluorescence imaging highlights precise plaque localization in both global and cross-sectional aortic regions. Regardless of whether intervention is initiated early or late in plaque progression, we observe significant reductions in plaque area and necrotic core. Importantly, IL-10M intervention does not impact the histological characteristics of the heart, liver, spleen, lungs, and kidneys, nor does it influence systemic inflammation levels. Conclusion: Our team has devised a novel anti-inflammatory protein delivery system utilizing modified macrophages, which exhibit a remarkable ability to target atherosclerotic plaques, resulting in the reduction of both plaque area and necrotic core. This innovative approach demonstrates favorable safety profiles and holds significant potential as a therapeutic strategy for managing atherosclerosis.
Published in
Macrophages overexpressing interleukin-10 target and prevent atherosclerosis: Regression of plaque formation and reduction in necrotic core
Wang M, Zhou S, Hu Y et al. · Bioengineering & translational medicine 2025 · PMID 39801756 · doi:10.1002/btm2.10717
This dataset
Open GSE248791 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 GSE248791_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 PRJNA1046023 and SRA study SRP474777. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39801756) ↗
Study design
6 conditions, mostly in triplicate
IL10M ×3 ConM ×3 IL10MLPS ×3 ConMLPS ×3 IL10MLDL ×3 ConMLDL ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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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