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Disease-associated mutations on the STAT5B SH2 domain regulate cholesterol and lipid metabolism in liver [RNA-Seq liver]

GSE310017 Mus musculus (mouse) RNA-seq (gene expression) 37 samples Submitted 2026/02/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 37 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
37 samples: 6 conditions, mostly with about 6 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
Disease-associated mutations in the STAT5B SH2 domain reprogram hepatic cholesterol and lipid metabolismbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Growth hormone (GH) signaling through STAT5B is a central regulator of hepatic metabolism, yet the functional consequences of disease-associated STAT5B variants remain poorly understood. Here, we generated mice carrying STAT5BY665F (gain-of-function) and STAT5BY665H (loss-of-function) alleles using CRISPR/Cas9-mediated base editing to dissect their impact on metabolic regulation.
Read the full summary ↓
STAT5BY665F mutants developed hepatic lipid accumulation, hypercholesterolemia, and enhanced insulin sensitivity, whereas STAT5BY665H mice displayed reduced body weight and impaired insulin responsiveness. Transcriptomic analyses revealed that STAT5BY665F strongly activated lipid, cholesterol, and immune transcriptional programs, while STAT5BY665H failed to induce these pathways. ChIP-seq demonstrated extensive STAT5BY665F enhancer occupancy at metabolic and immune loci, contrasting with the minimal chromatin engagement of STAT5BY665H. Beyond the liver, STAT5BY665F broadly reprogrammed adipose tissue gene expression, activating lipid metabolism and immune regulatory networks, whereas STAT5BY665H exerted more restricted effects. Notably, transcriptional and chromatin remodeling by STAT5B variants displayed sex-dependent differences, with male livers showing more pronounced reprogramming than females. Together, these findings illustrate how alterations in STAT5B activity that alter enhancer activation led to altered metabolic function in liver and adipose tissue.
Published in
Disease-associated mutations in the STAT5B SH2 domain reprogram hepatic cholesterol and lipid metabolism
Lee HK, Pyatkov M, Gavrilova O et al. · bioRxiv : the preprint server for biology 2025 · PMID 41383779 · doi:10.1101/2025.11.27.691004
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 GSE310017_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 PRJNA1365013 and SRA study SRP644988. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 6 replicates each
Liver, Y665F_male ×9 Liver, WT_male ×6 Liver, WT_female ×6 Liver, Y665F_female ×6 Liver, Y665H_female ×6 Liver, Y665H_male ×4

Supports a between-group comparison across 37 samples.

How we read this: 6 replicated groups read from 37 sample titles; they account for 37 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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