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Investigate changes in gene expression and enriched pathways in endothelial cells following Liver endothelial Heg1 knockout.

GSE315829 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2026/06/18 Platform GPL24247
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: 13 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
Liver Endothelial Heg1 Signal Limits Hepatic Steatosis via Wnt-Mediated Fatty Acid Oxidation in HepatocytesCellular and molecular gastroenterology and hepatology · 2026
Summary (written by the submitters)
Knockout of Heart-of-glass (Heg) in liver endothelial cells alters the metabolic patterns of hepatocytes. To further investigate whether endothelial cells regulate hepatocyte function and gene expression patterns by secreting certain proteins or factors mediated by Heg1, we collected mice at postnatal days 3 (P3) and 42 (P42), isolated liver endothelial cells, and performed RNA-seq analysis to explore the interaction patterns between endothelial cells and hepatocytes.
Published in
Liver Endothelial Heg1 Signal Limits Hepatic Steatosis via Wnt-Mediated Fatty Acid Oxidation in Hepatocytes
Rao X, Zhao Q, Chen J et al. · Cellular and molecular gastroenterology and hepatology 2026 · PMID 42119921 · doi:10.1016/j.jcmgh.2026.101807
This dataset
Open GSE315829 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 GSE315829_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 PRJNA1399383 and SRA study SRP660336. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42119921) ↗
Study design
13 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 7 samples read as cases, 6 as controls.

How we read this: Read from 13 sample titles: 13 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.