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Comparing the Effects of Taurine and 3-Sulfopropanoic Acid, a Metabolite of Tramiprosate, on ApoE4 Pathological Aggregation: Implications for Alzheimer's Disease

GSE292774 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/05/14 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples: 18 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.
Summary (written by the submitters)
Apolipoprotein E4 (ApoE4) is a major genetic risk factor for Alzheimer's disease. Its pathological aggregation can be mitigated by tramiprosate and its metabolite 3-sulfopropanoic acid, along with their impact on the transcription of genes, expression of proteins, and production of lipids. Taurine (TRN) is a close chemical analogue of tramiprosate (TMP) with an extra carbon atom , demonstrating protective effects against aging.
Read the full summary ↓
Using an integrated approach involving static light scattering, hydrogen-deuterium exchange mass spectrometry, molecular dynamics, and studies of cerebral organoids, we evaluated the effects of 3-sulfopropanoic acid and taurine on ApoE4 aggregation, as well as their impact on organoid transcriptomics and proteomics. Our results reveal that taurine effectively inhibits ApoE4 aggregation, comparable to 3-sulfopropanoic acid, and ameliorates the pathophysiological phenotype of ApoE4 in cerebral organoids, aligning it more closely with the ApoE3 phenotype. These findings suggest that taurine may have potential as a therapeutic agent against Alzheimer's disease, particularly in ApoE4/E4 carriers.
This dataset
Open GSE292774 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 GSE292774_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 PRJNA1241226 and SRA study SRP572653. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
18 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 18 sample titles: 18 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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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.