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Mass spectrometry-based proteomic profiling of human postmortem brain tissues in tauopathies, including corticobasal degeneration, progressive supranuclear palsy, and Alzheimer’s disease

GSE317746 Homo sapiens (human) Single-nucleus RNA-seq 16 samples Submitted 2026/05/11 Platform GPL30173
At a glance

Single-nucleus RNA-seq · human · 16 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). 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
16 samples: 4 × Frontal cortex (Motor), Control, Cont vs 4 × Frontal cortex (NA), AD, AD vs 4 × Frontal cortex (Motor), CBD, CBD vs 4 × Frontal cortex (Motor), PSP, PSPGroups 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
Mass spectrometry-based proteomic profiling of human tauopathy brains suggests mitochondria-associated alterationsFrontiers in molecular neuroscience · 2026
Summary (written by the submitters)
Background: The molecular mechanisms of tauopathies, characterized by intracellular accumulation of abnormal tau encoded by MAPT, remain poorly understood. Objectives: To identify proteins associated with the primary tauopathies corticobasal degeneration (CBD) and progressive supranuclear palsy (PSP), as well as the secondary tauopathy Alzheimer’s disease (AD), using mass spectrometry.
Read the full summary ↓
Methods: Total homogenates were prepared from human postmortem brains of AD (n = 4), CBD (n = 4), PSP (n = 4), and their respective controls (n = 4), and analyzed by mass spectrometry. Protein levels were compared across the four groups, and proteins showing statistically significant differences were subsequently examined using functional enrichment and protein–protein interaction (PPI) analyses. For a subset of the proteins that showed significant differences, immunohistochemistry was performed to determine their distribution in the brain. Furthermore, single-nucleus RNA sequencing data were analyzed to evaluate the corresponding gene expression across the four groups in a cell-type–specific manner at the RNA level. Results: In the four-group comparison, 859, 114, 6, and 1 proteins showed P values < 0.05, < 0.01, < 0.005, and < 0.001, respectively. We subsequently focused on the six proteins with P values < 0.005 (AK3, ATP5PD, COX7C, PPA1, PREP, and UQCRC1) and performed functional enrichment and PPI analyses. These analyses revealed that the identified tauopathy-related proteins were shown to be mainly involved in mitochondrial function. Discussion: Age-related mitochondrial dysfunction could influence the onset and progression of tauopathies.
Published in
Mass spectrometry-based proteomic profiling of human tauopathy brains suggests mitochondria-associated alterations
Jannah AR, Hasegawa M, Ham J et al. · Frontiers in molecular neuroscience 2026 · PMID 42254865 · doi:10.3389/fnmol.2026.1815858
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 GSE317746_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 PRJNA1415161. Searching any of these in the dataset finder brings you back here.

Study design
4 × Frontal cortex (Motor), Control, Cont vs 4 × Frontal cortex (NA), AD, AD vs 4 × Frontal cortex (Motor), CBD, CBD vs 4 × Frontal cortex (Motor), PSP, PSP

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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