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Rescuing early Parkinson-induced hyposmia prevents dopaminergic system failure [human]

GSE235330 Homo sapiens (human) Single-cell RNA-seq 24 samples Submitted 2025/02/25 Platform GPL24676Platform GPL18573
At a glance

Single-cell RNA-seq · human · 24 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
24 samples: 16 × C vs 5 × PDGroups 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
Synaptic deregulation of cholinergic projection neurons causes olfactory dysfunction across five fly Parkinsonism modelseLife · 2025
Summary (written by the submitters)
The diagnosis of Parkinsonism is based on motor symptoms that are caused by reduced dopaminergic output However, decades earlier, patients report non-motoric problems, including hyposmia It is not known if non-motor and motor defects are causally connected Here we used single-cell transcriptome sequencing (10x) of young and olf fly mutants (whole brain) and human patients (three regions: nucleus basalis of Meynert, nucleus accumbens and putamen). This atlas reveals early defects in cholinergic neurons that are recapitulaed across species
Published in
Synaptic deregulation of cholinergic projection neurons causes olfactory dysfunction across five fly Parkinsonism models
Pech U, Janssens J, Schoovaerts N et al. · eLife 2025 · PMID 40178224 · doi:10.7554/eLife.98348
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 GSE235330_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA985706 and SRA study SRP445041. Searching any of these in the dataset finder brings you back here.

Study design
16 × C vs 5 × PD

Supports a between-group comparison across 21 samples.

How we read this: 2 replicated groups read from 24 sample titles; they account for 21 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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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.