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Compromised lipid metabolism, mitochondria respiration and neuroprotective effects in iPSC-derived astrocytes from a Smith-Lemli-Opitz syndrome patient

GSE309707 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/12/04 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 12 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
Compromised lipid metabolism, mitochondria respiration and neuroprotective effects in iPSC-derived astrocytes from a Smith-Lemli-Opitz syndrome patientHuman molecular genetics · 2025
Summary (written by the submitters)
Smith-Lemli-Opitz syndrome (SLOS) is a rare, autosomal recessive disorder characterized by congenital malformations, intellectual disability, and behavioral abnormalities. SLOS results from mutations in the DHCR7 gene, leading to impaired cholesterol biosynthesis due to dysregulation of 7-dehydrocholesterol reductase. Cholesterol plays crucial roles in neurophysiology, including synaptic formation and neurotransmitter receptor regulation, which likely contribute to neurological manifestations in SLOS patients.
Read the full summary ↓
While astrocytes are the main cholesterol producing cells in the brain, their specific role in SLOS pathogenesis remains unclear. In this study, we utilized induced pluripotent stem cell (iPSC)-derived astrocytes from a SLOS patient with DHCR7 c.C278T mutation and the isogenic control. We found decreased lipid droplet formation in SLOS iPSC astrocytes compared to controls, accompanied with diminished efflux of cholesterol and apolipoprotein E. Lipidomics revealed reduced cholesterol and cholesterol esters, as well as altered profiles of other lipids in SLOS iPSC astrocytes. While RNA-sequencing identified various genes and pathways affected by the disease status, those related to mitochondria functions were top-ranked. Mitochondrial electron transport chain oxidative phosphorylation gene expression decreased in SLOS iPSC astrocytes, alongside impaired mitochondrial respiration. Furthermore, SLOS iPSC astrocytes less effectively mediated neuroprotection on iPSC neurons than control astrocytes in serum-starvation conditions. SLOS iPSC astrocytes also poorly contributed to synaptic networks when co-cultured with iPSC neurons. Overall, our findings provide mechanistic insights into how DHCR7 disruption impacts astrocyte function, contributing to SLOS neuropathology by dysregulating lipid metabolism, mitochondrial respiration, and impaired neuroprotection.
Published in
Compromised lipid metabolism, mitochondria respiration and neuroprotective effects in iPSC-derived astrocytes from a Smith-Lemli-Opitz syndrome patient
Kawatani K, Baker SK, Yaeger JDW et al. · Human molecular genetics 2025 · PMID 41076637 · doi:10.1093/hmg/ddaf159
This dataset
Open GSE309707 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 GSE309707_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 PRJNA1336777 and SRA study SRP630141. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41076637) ↗
Study design
12 samples, each with a distinct title — no replicated groups

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

How we read this: Read from 12 sample titles: 12 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

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