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DC-SIGN+ Macrophages alleviates Non-Alcoholic Steatohepatitis by modulating inflammatory cytokine secretion

GSE264747 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2026/04/22 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 4 × Liver AAV-hDC-SIGN-HFHC vs 3 × Liver AAV-CON-NCD vs 3 × Liver AAV-hDC-SIGN-NCD vs 3 × Liver AAV-CON-HFHCGroups 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
DC-SIGN(+) macrophages alleviate metabolic dysfunction-associated steatotic liver disease via fine-tuning TLR4 signaling and inflammatory secretory profilesMetabolism: clinical and experimental · 2026
Summary (written by the submitters)
The modulation of immune responses by innate immune receptors plays a pivotal role in the progression of non-alcoholic steatohepatitis (NASH). In this study, we aim to comprehensively dissect the involvement of the C-type lectin receptor DC-specific-ICAM3-grabbing-nonintegrin (DC-SIGN) in NASH progression. RNA sequencing was conducted on liver samples obtained from mice fed either a control diet or a HFHC diet inducing NASH for 16 weeks.
Read the full summary ↓
At 8 weeks post feeding, animals were transduced via tail vein with Adeno-Associated Virus 9 (AAV9) expressing CD68 promoter-driven human DC-SIGN (hDC-SIGN) or GFP control. Data obtained from the transcriptomic profiles indicated that macrophage-specific delivery of hDC-SIGN strongly attenuated liver metabolic and inflammatory abnormalities, leading to the amelioration of NASH progression.
Published in
DC-SIGN(+) macrophages alleviate metabolic dysfunction-associated steatotic liver disease via fine-tuning TLR4 signaling and inflammatory secretory profiles
Liu J, Wu H, Zhou L et al. · Metabolism: clinical and experimental 2026 · PMID 41270396 · doi:10.1016/j.metabol.2025.156453
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 GSE264747_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 PRJNA1104132 and SRA study SRP503755. Searching any of these in the dataset finder brings you back here.

Study design
4 × Liver AAV-hDC-SIGN-HFHC vs 3 × Liver AAV-CON-NCD vs 3 × Liver AAV-hDC-SIGN-NCD vs 3 × Liver AAV-CON-HFHC

Supports a between-group comparison across 13 samples.

How we read this: 4 replicated groups read from 13 sample titles; they account for 13 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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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.