GEO series

Endoplasmic Reticulum Associated Lipolysis Regulates Hepatic Fat Synthesis and Turnover [RNA-seq]

GSE312618 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2026/06/02 Platform GPL34328

At a glance

RNA-seq (gene expression) · mouse · 23 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: 23 samples: 6 × Male, WT, vs 6 × Female, WT, vs 6 × Female, KO, vs 5 × Male, KO,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 characterized and initiated by the excessive accumulation of triacylglycerols (TG) and cholesteryl esters (CE) in the liver. Hepatic TG and CE synthesis, lipolysis and transport are tightly regulated by nutritional status, and disruption of this homeostasis contributes to MASLD pathogenesis.

Read the full summary ↓

We have found that an endoplasmic reticulum-localized arylacetamide deacetylase (AADAC) catalyzes hepatic TG/CE turnover and suppresses SREBP- and LXR-regulated lipogenesis and fatty acid esterification. Consequently, AADAC deficiency in mice leads to increased hepatic lipid synthesis, exacerbated steatosis, and impaired whole-body metabolism during Western-type diet feeding. These findings implicate AADAC as an important regulator of hepatic neutral lipid metabolism, linking endoplasmic reticulum cholesteryl ester hydrolysis as a modulator of lipid synthesis, and suggest its potential role in limiting MASLD pathogenesis under conditions of chronic overnutrition.

This dataset

Open GSE312618 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 GSE312618_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 PRJNA1375541 and SRA study SRP651672. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

6 × Male, WT, vs 6 × Female, WT, vs 6 × Female, KO, vs 5 × Male, KO,

Supports a between-group comparison across 23 samples.

How we read this: 4 replicated groups read from 23 sample titles; they account for 23 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

GSM9350220 Male, WT, rep1 Male, WT,
GSM9350221 Male, WT, rep2 Male, WT,
GSM9350222 Male, WT, rep3 Male, WT,
GSM9350223 Male, WT, rep4 Male, WT,
GSM9350224 Male, WT, rep5 Male, WT,
GSM9350225 Male, WT, rep6 Male, WT,
GSM9350226 Male, KO, rep1 Male, KO,
GSM9350227 Male, KO, rep2 Male, KO,
GSM9350228 Male, KO, rep3 Male, KO,
GSM9350229 Male, KO, rep4 Male, KO,
GSM9350230 Male, KO, rep5 Male, KO,
GSM9350231 Female, WT, rep1 Female, WT,
GSM9350232 Female, WT, rep2 Female, WT,
GSM9350233 Female, WT, rep3 Female, WT,
GSM9350234 Female, WT, rep4 Female, WT,
GSM9350235 Female, WT, rep5 Female, WT,
GSM9350236 Female, WT, rep6 Female, WT,
GSM9350237 Female, KO, rep1 Female, KO,
GSM9350238 Female, KO, rep2 Female, KO,
GSM9350239 Female, KO, rep3 Female, KO,
GSM9350240 Female, KO, rep4 Female, KO,
GSM9350241 Female, KO, rep5 Female, KO,
GSM9350242 Female, KO, rep6 Female, KO,

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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.