Gene expression profile at single cell level of Peritoneal Cells in Patients with Gastric Cancer
Single-cell RNA-seq · human · 28 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
- 28 samples: 28 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
- Tumor and Peritoneum-Associated Macrophage Gene Signature as a Novel Molecular Biomarker in Gastric CancerInternational journal of molecular sciences · 2024
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 GSE228598_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 PRJNA950422 and SRA study SRP430196. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 28 sample titles: 28 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.
- GSM7133741 Patient 1, scRNAseq
- GSM7133742 Patient 2, scRNAseq
- GSM7133743 Patient 3, scRNAseq
- GSM7133744 Patient 4, scRNAseq
- GSM7133745 Patient 5, scRNAseq
- GSM7133746 Patient 6, scRNAseq
- GSM7133747 Patient 7, scRNAseq
- GSM7133748 Patient 8, scRNAseq
- GSM7133749 Patient 9, scRNAseq
- GSM7133750 Patient 10, scRNAseq
- GSM7133751 Patient 11, scRNAseq
- GSM7133752 Patient 12, scRNAseq
- GSM7133753 Patient 13, scRNAseq
- GSM7133754 Patient 14, scRNAseq
- GSM7133755 Patient 16, scRNAseq
- GSM7133756 Patient 17, scRNAseq
- GSM7133757 Patient 18, scRNAseq
- GSM7133758 Patient 19, scRNAseq
- GSM7133759 Patient 20, scRNAseq
- GSM7133760 Patient 21, scRNAseq
- GSM7133761 Patient 22, scRNAseq
- GSM7133762 Patient 23, scRNAseq
- GSM7133763 Patient 24, scRNAseq
- GSM7133764 Patient 25, scRNAseq
- GSM7133765 Patient 26, scRNAseq
- GSM7133766 Patient 27, scRNAseq
- GSM7133767 Patient 28, scRNAseq
- GSM7133768 Patient 29, scRNAseq
- GSE134520 Dissecting the single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer [10x genomics] 13 samples same disease briefing · shares gastric
- GSE163558 Transcriptional heterogeneity in primary and metastatic gastric cancer revealed using single-cell RNA sequencing 10 samples same disease briefing · shares gastric
- GSE119196 HOXC10 Overexpression Promotes Cell Proliferation and Migration through Regulation of CST1 Expression in Gastric Cancer 2 samples same disease briefing · shares gastric
- GSE167297 Spatially distinct reprogramming of the tumor microenvironment based on tumor invasion in diffuse-type gastric cancers 14 samples same disease briefing · shares gastric
- GSE173195 Roles of LTBP1 in the gastric cancer cells 6 samples same disease briefing · shares gastric
- GSE182543 ALKBH5 cooperated with LINC00659 promote gastric cancer progression by JAK1 mRNA m6A-YTHDF2-dependent modification [polyA] 6 samples same disease briefing · shares gastric
- GSE103045 Genetic and epigenetic gene inactivation coupling with KRAS activation in human gastric cancer [RNA-Seq] 3 samples same disease briefing · shares gastric
- GSE171054 NINJ2 inhibition increased chemo-sensitivity by decreasing CICs in chemotherapy-resistant gastric cancer 2 samples same disease briefing · shares gastric
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.