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Membrane phospholipid remodeling modulates nonalcoholic steatohepatitis progression by regulating mitochondrial homeostasis [LKO_NASH]

GSE218073 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/06/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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
Membrane phospholipid remodeling modulates nonalcoholic steatohepatitis progression by regulating mitochondrial homeostasisHepatology (Baltimore, Md.) · 2024
Summary (written by the submitters)
Nonalcoholic steatohepatitis (NASH), characterized by inflammation and fibrosis, is emerging as a leading etiology of hepatocellular carcinoma (HCC). However, the mechanisms underlying the pathogenesis of NASH are not well understood. Here, we show that membrane phospholipid (PL) composition determined by a remodeling process modulates the progression of NASH.
Read the full summary ↓
The expression of lysophosphatidylcholine acyltransferase 3 (LPCAT3), a PL remodeling enzyme that produces polyunsaturated PLs, is dramatically suppressed in human NASH livers compared to controls. LPCAT3 expression is inversely correlated with NAFLD activity score and fibrosis stage. Loss of Lpcat3 in mouse liver promotes the development of both spontaneous and diet-induced NASH/HCC. Mechanistically, Lpcat3 deficiency increases reactive oxygen species production, likely due to impaired mitochondrial homeostasis as demonstrated by reduced mitochondrial DNA content and fragmented mitochondrial morphology. Overexpressing Lpcat3 in the liver ameliorates inflammation and fibrosis of NASH. These results suggest that manipulating LPCAT3 expression may be an effective therapeutic strategy for NASH.
Published in
Membrane phospholipid remodeling modulates nonalcoholic steatohepatitis progression by regulating mitochondrial homeostasis
Tian Y, Jellinek MJ, Mehta K et al. · Hepatology (Baltimore, Md.) 2024 · PMID 36999536 · doi:10.1097/HEP.0000000000000375
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 GSE218073_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 PRJNA902276 and SRA study SRP408210. Searching any of these in the dataset finder brings you back here.

Study design
10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 distinct titles with little repetition. 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.