GEO series

A Microphysiological Model of Human MASLD Reveals Paradoxical Response to Resmetirom

GSE313774 Homo sapiens (human) RNA-seq (gene expression) 33 samples Submitted 2025/12/15 Platform GPL20301

At a glance

RNA-seq (gene expression) · human · 33 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: Homo sapiens (human)
Samples: 33 samples: 33 × NG-A0648Groups 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: A microphysiological model of human MASLD reveals paradoxical response to resmetiromCommunications biology · 2026

Summary (written by the submitters)

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a chronic disease with multiple etiologies, stemming from the interplay between local and systemic genetic, diet, and gene-environment interactions. To understand the progression of MASLD in a controlled setting, we utilized a human liver microphysiological system (MPS) to establish a physiologically relevant metabolic baseline and probe how primary human hepatocytes respond to perturbations in insulin, glucose, and free fatty acids (FFAs).

Read the full summary ↓

Replicate liver MPS were maintained in media with either 200 pM or 800 pM insulin for up to 3 weeks alone and in combination with standard glucose (5.5 mM), hyperglycemia (11 mM glucose), normal (20µM) and elevated FFA (100 µM). Together, hyperinsulinemia along with elevated glucose and FFAs, induces the release of pro-inflammatory chemokines, accumulation of triglycerides, and predisposes hepatocytes to insulin resistance. Treatment with the thyroid receptor ß agonist resmetirom normalizes hepatic fat content and partially rescues insulin sensitivity, but paradoxically induces higher CXCL1 and IL8 expression in male and female donors. In aggregate, our enhanced in vitro MPS model establishes a metabolic baseline and perturbed condition that recapitulates a spectrum of phenotypes observed in MASLD, offering improved quantification and insight into disease progression with relevance to human physiology.

Published in

A microphysiological model of human MASLD reveals paradoxical response to resmetirom

Hellen DJ, Ungerleider J, Tevonian E et al. · Communications biology 2026 · PMID 41535580 · doi:10.1038/s42003-025-09484-9

This dataset

Open GSE313774 in finder → Find more human 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 GSE313774_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 PRJNA1381576. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41535580) ↗

Study design

33 × NG-A0648

Supports a between-group comparison across 33 samples.

How we read this: 1 replicated groups read from 33 sample titles; they account for 33 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

GSM9375169 NG-A0648_1 NG-A0648
GSM9375170 NG-A0648_2 NG-A0648
GSM9375171 NG-A0648_3 NG-A0648
GSM9375172 NG-A0648_13 NG-A0648
GSM9375173 NG-A0648_14 NG-A0648
GSM9375174 NG-A0648_25 NG-A0648
GSM9375175 NG-A0648_26 NG-A0648
GSM9375176 NG-A0648_4 NG-A0648
GSM9375177 NG-A0648_5 NG-A0648
GSM9375178 NG-A0648_6 NG-A0648
GSM9375179 NG-A0648_16 NG-A0648
GSM9375180 NG-A0648_17 NG-A0648
GSM9375181 NG-A0648_18 NG-A0648
GSM9375182 NG-A0648_28 NG-A0648
GSM9375183 NG-A0648_29 NG-A0648
GSM9375184 NG-A0648_30 NG-A0648
GSM9375185 NG-A0648_7 NG-A0648
GSM9375186 NG-A0648_8 NG-A0648
GSM9375187 NG-A0648_19 NG-A0648
GSM9375188 NG-A0648_20 NG-A0648
GSM9375189 NG-A0648_21 NG-A0648
GSM9375190 NG-A0648_31 NG-A0648
GSM9375191 NG-A0648_32 NG-A0648
GSM9375192 NG-A0648_33 NG-A0648
GSM9375193 NG-A0648_9 NG-A0648
GSM9375194 NG-A0648_10 NG-A0648
GSM9375195 NG-A0648_11 NG-A0648
GSM9375196 NG-A0648_22 NG-A0648
GSM9375197 NG-A0648_23 NG-A0648
GSM9375198 NG-A0648_24 NG-A0648
GSM9375199 NG-A0648_34 NG-A0648
GSM9375200 NG-A0648_35 NG-A0648
GSM9375201 NG-A0648_36 NG-A0648

Datasets on a similar topic

GSE324401 Evaluation of the immortalized primary human hepatocyte cell line Fa2N-4 as a model for MASLD 48 samples shares masld
GSE334651 Alternative splicing- and gene fusion-derived neoepitopes in MASLD-associated hepatocellular carcinoma 120 samples shares masld
GSE313271 S100A10-ANXA2 TETRAMER INHIBITION HAMPERS HEPATIC STELLATE CELL ACTIVATION IN MASLD MODELING HUMAN LIVER ORGANOIDS 1 samples shares masld
GSE240729 Development of a novel non-invasive biomarker panel for hepatic fibrosis in individuals with MASLD 67 samples shares masld
GSE293127 Activation of the Imprinted Gene Network is a conserved signature of MASLD induced by the early life environment 28 samples shares masld
GSE325645 Transcriptomic profiling of NK cells in CHB and CHB-MASLD 7 samples shares masld
GSE281160 CROP-seq of 20 MASLD-associated differential activity variants from HepG2 MPRA screen 7 samples shares masld
GSE278593 IGFBP-7 transforms hepatic stellate cells into an HCC-promoting phenotype in MASLD. 6 samples shares masld

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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.