Single-cell RNA sequencing of primary colorectal cancer, matched adjacent normal tissues, and paired liver metastases
Single-cell RNA-seq · human · 15 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
- Colorectal cancerThis series is part of our curated briefing on it.
- Samples
- 15 samples: 6 × scRNA-seq of matched adjacent normal tissues vs 6 × scRNA-seq of primary colorectal cance vs 3 × scRNA-seq of matched paired liver metastasesGroups 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
- ENO2 drives tumor cell-induced M2 macrophage polarization to promote colorectal cancer liver metastasisSignal transduction and targeted therapy · 2026
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 GSE315534_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 PRJNA1398224. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 3 samples read as cases, 6 as controls.
How we read this: 3 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.
- GSM9430352 scRNA-seq of matched adjacent normal tissues1 scRNA-seq of matched ad…
- GSM9430353 scRNA-seq of primary colorectal cancer1 scRNA-seq of primary co…
- GSM9430354 scRNA-seq of matched paired liver metastases1 scRNA-seq of matched pa…
- GSM9430355 scRNA-seq of matched adjacent normal tissues2 scRNA-seq of matched ad…
- GSM9430356 scRNA-seq of primary colorectal cancer2 scRNA-seq of primary co…
- GSM9430357 scRNA-seq of matched paired liver metastases2 scRNA-seq of matched pa…
- GSM9430358 scRNA-seq of matched adjacent normal tissues3 scRNA-seq of matched ad…
- GSM9430359 scRNA-seq of primary colorectal cancer3 scRNA-seq of primary co…
- GSM9430360 scRNA-seq of matched paired liver metastases3 scRNA-seq of matched pa…
- GSM9430361 scRNA-seq of matched adjacent normal tissues4 scRNA-seq of matched ad…
- GSM9430362 scRNA-seq of primary colorectal cancer4 scRNA-seq of primary co…
- GSM9430363 scRNA-seq of matched adjacent normal tissues5 scRNA-seq of matched ad…
- GSM9430364 scRNA-seq of primary colorectal cancer5 scRNA-seq of primary co…
- GSM9430365 scRNA-seq of matched adjacent normal tissues6 scRNA-seq of matched ad…
- GSM9430366 scRNA-seq of primary colorectal cancer6 scRNA-seq of primary co…
- GSE250000 Bulk RNA-sequencing of transduced colorectal cancer cell line HCT-116 and breast cancer cell line MCF-7 overexpressing full-lenght p53β or p53β-stop-lost. 4 samples same disease briefing · shares colorectal
- GSE12032 Inherent gene signature of stage II and III colorectal cancer leads in individual recurrence 198 samples same disease briefing · shares colorectal
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing · shares single-cell
- GSE110009 Single cell transcriptome landscape of primary and metastatic tumor in colon cancer 76 samples same disease briefing · shares primary
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares single-cell, colorectal, adjacent, primary, normal
- GSE294559 Single-cell multi-omics characterize colorectal tumors, adjacent healthy tissue and matched organoids identifying CRC-unique features 72 samples shares single-cell, colorectal, adjacent, matched
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares colorectal, matched, normal
- GSE339157 Bulk RNA sequencing of prostate cancer (PCa) primary tumors and metastases: Epworth Clinical Cohort 48 samples shares metastases, primary
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.