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Infection and herbicide exposure implicate c-Abl kinase in α-synuclein serine 129 phosphorylation

GSE287574 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/09/24 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 24 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
Infection and herbicide exposure implicate c-Abl kinase in α-Synuclein Ser129 phosphorylationCell communication and signaling : CCS · 2025
Summary (written by the submitters)
Parkinson's disease is a complex multifactorial neurodegenerative disorder characterized by α-synuclein aggregation in Lewy bodies, with phosphorylation at serine 129 (pSer129) being a critical pathological hallmark. However, the exact mechanisms linking the diverse triggers to a unified disease phenotype remain poorly understood. In this study we aim to investigate the common effects of infection and pesticide exposure on accumulation of pSer129 α-synuclein, focusing on the involvement of c-Abl in this process.
Read the full summary ↓
The functional analysis of RNA sequencing results demonstrated that both H. pylori and rotenone induce oxidative stress, neuroinflammation and neurodegenerative pathways. Rotenone and H. pylori activated c-Abl, perhaps through the induced oxidative stress and promote α-synuclein phosphorylation. The kinase inhibitors ponatinib, nilotinib, and asciminib effectively rescued pSer129 α-synuclein and reversed associated gene expression changes induced by rotenone or H. pylori. Moreover, GSK3β is involved in the induction of pSer129 by c-Abl. Furthermore, H. pylori’s vacuolating cytotoxin play a crucial role in phosphorylation of pSer129 α-synuclein through c-Abl.
Published in
Infection and herbicide exposure implicate c-Abl kinase in α-Synuclein Ser129 phosphorylation
Ehsani M, Sun Z, Quevedo-Olmos A et al. · Cell communication and signaling : CCS 2025 · PMID 40988055 · doi:10.1186/s12964-025-02399-2
This dataset
Open GSE287574 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 GSE287574_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 PRJNA1213773 and SRA study SRP558725. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40988055) ↗
Study design
24 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 24 sample titles: 24 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.