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Charaterization of potential roles and mechanisms of ACBP/DBI in NASH/MASH-dirven HCC mouse models

GSE255799 Mus musculus (mouse) RNA-seq (gene expression) 27 samples Submitted 2025/04/18 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 27 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
27 samples: 6 conditions, mostly with about 5 replicates eachGroups 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
Neutralization of acyl coenzyme A binding protein for the experimental prevention and treatment of hepatocellular carcinomaCell reports. Medicine · 2025
Summary (written by the submitters)
We demonstrated that ACBP/DBI inhibition impaired hepatocarcinogenesis in NASH/MASH-driven HCC models. To further investigate its potential mechanisms at transcriptional level in NASH/MASH-driven HCC models, we performed Bulk RNA-seq analyses with liver tissues from the following three models, namely, (i) WD/CCl4 with tamoxifen inducible ACBP/DBI knout mice (Dbi-/- mice, Dbi+/+ mice as control) for in total 27 weeks; (ii) WD/CCl4 with KLH/KLH-ACBP immunized mice for in total 34 weeks; and (iii) HFD/DEN with KLH/KLH-ACBP immunized miceI for a total of 36 weeks.
Published in
Neutralization of acyl coenzyme A binding protein for the experimental prevention and treatment of hepatocellular carcinoma
Li S, Motiño O, Lambertucci F et al. · Cell reports. Medicine 2025 · PMID 40628264 · doi:10.1016/j.xcrm.2025.102232
This dataset
Open GSE255799 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 GSE255799_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 PRJNA1076545 and SRA study SRP489757. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40628264) ↗
Study design
6 conditions, mostly with about 5 replicates each
WD_CCl4_KLH-S ×5 WD_CCl4_KLH-ACBP-S ×5 HFD_DEN_KLH-S ×5 HFD_DEN_KLH-DBI-S ×4 WD_CCl4 _Dbi+/+ -S ×4 WD_CCl4 _Dbi-/- -S ×4

Supports a between-group comparison across 27 samples.

How we read this: 6 replicated groups read from 27 sample titles; they account for 27 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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