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LncRNA NEAT1 promotes immunosuppression in gastric cancer by maintaining the m6A methylation of SEMA3A in CAFs via exosomes under endoplasmic reticulum stress [SGC7901]

GSE297015 Homo sapiens (human) DNA methylation 2 samples Submitted 2026/04/15 Platform GPL24676
At a glance

DNA methylation · human · 2 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
2 samples
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
LncRNA NEAT1 promotes immunosuppression in gastric cancer under endoplasmic reticulum stress by maintaining the M(6)A methylation of SEMA3A in CAFsMolecular cancer · 2026
Summary (written by the submitters)
In order to find out the impact of endoplasmic reticulum stress (ERS) to the tumor microenvironment (TME) of gastric cancer. Transcriptome sequence of exosomes between ERS-GC group and normal GC group. 192 lncRNAs were found to be highly expressed in the exosomes of gastric cancer cells under ERS state.
Published in
LncRNA NEAT1 promotes immunosuppression in gastric cancer under endoplasmic reticulum stress by maintaining the M(6)A methylation of SEMA3A in CAFs
Xu Y, Xu R, Chen Z et al. · Molecular cancer 2026 · PMID 41782001 · doi:10.1186/s12943-026-02613-w
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 GSE297015_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1262395 and SRA study SRP584892. Searching any of these in the dataset finder brings you back here.

Samples in this study

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