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Implications of TEAD4 in Metabolic Processes of Gastric Cancer [RNA-Seq]

GSE299321 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2026/07/31 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 15 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)
Topic
Gastric cancerThis series is part of our curated briefing on it.
Samples
15 samples: 6 conditions, mostly in triplicateGroups 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)
Gastric cancer (GC) is a prevalent malignancy worldwide, imposing a significant global health burden. Despite the development of various treatment strategies, effective management of GC remains elusive. Consequently, extensive research efforts have been directed towards uncovering the underlying molecular mechanisms of GC pathogenesis to develop novel and targeted therapeutic approaches.
Read the full summary ↓
Among the identified signaling pathways, the Hippo pathway has emerged as a critical contributor to tumor development and acquired drug resistance in GC. It also interacts with multiple other pathways implicated in GC progression. Recent studies have highlighted the role of abnormal DNA methylation patterns in the early stages of GC development, rather than being confined to advanced stages. Specifically, the Hippo pathway member TEAD4 which is implicated in all four GC molecular subtypes, as classified by The Cancer Genome Atlas (TCGA) project, has been found to be hypomethylated in GC. In our research, we employed targeted hypermethylation using a combination of KRAB and DNMT3AL EpiEffectors to achieve epigenetic silencing of the TEAD4 promoter. Post-intervention, consistent with previous studies, we observed a reduction in the cancerous properties of the manipulated GC cells, such as proliferation, colony formation ability, migration, and invasion. Interestingly, transcriptomics results suggest that TEAD4 suppression may imply the downregulation of several carbohydrate-related metabolic pathways, DNA replication and repair mechanisms, as well as carbon metabolism. These findings may offer deeper insights into the multifaceted roles of TEAD4 in the progression of GC.
This dataset
Open GSE299321 in finder → Find more human RNA-seq datasets → Gastric cancer landscape →
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 GSE299321_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 PRJNA1273910 and SRA study SRP591215. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
Day3-Epigenetic modification with 7gRNAs ×3 Day3-Epigenetic modification with 5gRNAs ×3 Untreated HGC-27 gastric cancer cells ×3 Day3-Treated with only 7gRNAs ×2 Day3-Treated with only 5gRNAs ×2 Day14-Epigenetic modification with 7gRNAs ×2

Supports a between-group comparison across 15 samples.

How we read this: 6 replicated groups read from 15 sample titles; they account for 15 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
More Gastric cancer datasets

Search all human RNA-seq datasets in GEO →

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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.