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Effects of Acetylcholine and Porphyromonas gingivalis on Oral Epithelial Cells

GSE297378 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/05/21 Platform GPL24676
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: 3 × NC vs 3 × ACh vs 3 × Pg vs 3 × PAGroups 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
Acetylcholine in the gingival epithelium drives the pathogenesis of periodontitisFrontiers in cell and developmental biology · 2025
Summary (written by the submitters)
Periodontitis patients exhibit significant upregulation of the cholinergic signaling pathway in gingival epithelial cells, accompanied by elevated acetylcholine (ACh) levels in saliva. However, the role of ACh in the pathogenesis of periodontitis remains unclear. P. gingivalis, a keystone pathogen in periodontitis, triggers host inflammatory responses and compromises the epithelial barrier function.
Read the full summary ↓
As the first line of defense against pathogens, the reparative capacity of the oral epithelium critically influences the progression of periodontitis. This study investigates whether ACh modulates P. gingivalis-induced inflammatory responses and epithelial repair in human oral keratinocytes (HOKs), aiming to elucidate the mechanistic role of cholinergic signaling in periodontitis.
Published in
Acetylcholine in the gingival epithelium drives the pathogenesis of periodontitis
Xu S, Guo J, Yang S et al. · Frontiers in cell and developmental biology 2025 · PMID 41358003 · doi:10.3389/fcell.2025.1701252
This dataset
Open GSE297378 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 GSE297378_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 PRJNA1263718 and SRA study SRP586040. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41358003) ↗
Study design
3 × NC vs 3 × ACh vs 3 × Pg vs 3 × PA

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
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.