Role of Cancer-Associated Fibroblasts in Prognostic Stratification of Advanced-Stage Gastric Cancer through Interacting with Endothelial and Malignant Epithelial Cells [AGC scRNA-seq]
Single-cell RNA-seq · human · 11 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Topic
- Gastric cancerThis series is part of our curated briefing on it.
- Samples
- 11 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
- A pan-cancer single cell landscape reveals heterogeneity and functional diversity of double-negative T cellsMolecular cancer · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE275648_RAW.tar (it can run to tens of gigabytes).
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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1152546. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 11 more — browse all 11 samples with per-sample file links →
- GSE13861 Gene expression signature-based novel prognostic risk score in gastric cancer 90 samples same disease briefing · shares prognostic
- GSE134520 Dissecting the single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer [10x genomics] 13 samples same disease briefing
- GSE163558 Transcriptional heterogeneity in primary and metastatic gastric cancer revealed using single-cell RNA sequencing 10 samples same disease briefing
- GSE173195 Roles of LTBP1 in the gastric cancer cells 6 samples same disease briefing
- GSE182543 ALKBH5 cooperated with LINC00659 promote gastric cancer progression by JAK1 mRNA m6A-YTHDF2-dependent modification [polyA] 6 samples same disease briefing
- GSE103045 Genetic and epigenetic gene inactivation coupling with KRAS activation in human gastric cancer [RNA-Seq] 3 samples same disease briefing
- GSE119196 HOXC10 Overexpression Promotes Cell Proliferation and Migration through Regulation of CST1 Expression in Gastric Cancer 2 samples same disease briefing
- GSE171054 NINJ2 inhibition increased chemo-sensitivity by decreasing CICs in chemotherapy-resistant gastric cancer 2 samples same disease briefing
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.