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Microfluidic Co-Encapsulation of Exosomal miRNAs and Antioxidant Enzymes Ameliorates Hepatic Steatosis by Driving M2 Polarization and Reparative Neutrophil Recruitment

GSE342059 Mus musculus (mouse) RNA-seq (gene expression) 26 samples Submitted 2026/08/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 26 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
26 samples: 9 × MASLD mouse, liver, vs 9 × LSCR-treated MASLD mouse, liver, vs 8 × UCMSC-Exos-treated MASLD mouse, liver,Groups 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)
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prevalent chronic liver disorder lacking universally effective pharmacotherapies due to its complex pathogenesis involving lipotoxicity, oxidative stress, and inflammation. While natural mesenchymal stem cell-derived exosomes present promising therapeutic potential, their clinical translation is hindered by low manufacturing yields, batch-to-batch heterogeneity, and rapid systemic clearance.
Read the full summary ↓
To overcome these limitations, we report LSCR, an innovative exosome-mimetic nanotherapeutic fabricated via a single-step microfluidic assembly. By systematically decoding natural exosomes, we identified and co-encapsulated a core therapeutic payload—comprising three pivotal miRNAs (hsa-miR-29a-3p, hsa-miR-27a-3p, and hsa-miR-20a-5p) and two potent antioxidant enzymes (superoxide dismutase and catalase)—into liver-targeting lipid nanoparticles. The engineered LSCR exhibits exceptional colloidal stability, robust resistance to physical stress, and prolonged preservation of enzyme catalytic activity for over 30 days. In vivo evaluations in a high-fat diet-induced murine model demonstrate that LSCR selectively accumulates in the liver, effectively ameliorating hepatic steatosis, normalizing lipid profiles, and restoring liver function with an excellent biosafety profile. Mechanistically, LSCR synergistically reverses the pathological transcriptomic network by suppressing inflammatory and fibrotic signaling cascades, such as the AGE-RAGE, MAPK, and PI3K-Akt pathways. Furthermore, LSCR actively remodels the hepatic immune microenvironment by driving pro-resolving M2 macrophage polarization and recruiting indispensable tissue-reparative (N2-like) neutrophils. Ultimately, this highly translational nanomedicine platform offers a scalable and effective strategy for MASLD treatment and prevention.
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 GSE342059_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 PRJNA1505513 and SRA study SRP723112. Searching any of these in the dataset finder brings you back here.

Study design
9 × MASLD mouse, liver, vs 9 × LSCR-treated MASLD mouse, liver, vs 8 × UCMSC-Exos-treated MASLD mouse, liver,

Supports a between-group comparison across 26 samples.

How we read this: 3 replicated groups read from 26 sample titles; they account for 26 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
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