Innate lymphoid cells in unaffected colon, colorectal cancer and peritoneal metastasis
Single-cell RNA-seq · human · 19 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Topic
- Colorectal cancerThis series is part of our curated briefing on it.
- Samples
- 19 samples: 7 × PC metastasis, Patient vs 6 × Colon, Patient vs 6 × Colorectal tumor, PatientGroups 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-infiltrating immature innate lymphoid cells in colorectal cancer are biased toward ILC1/tissue-resident NK cell differentiationNature communications · 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 GSE302045_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 PRJNA1288409. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 3 replicated groups read from 19 sample titles; they account for 19 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.
- GSM9094696 PC metastasis, Patient 1 PC metastasis, Patient
- GSM9094697 PC metastasis, Patient 2 PC metastasis, Patient
- GSM9094698 Colon, Patient 3 Colon, Patient
- GSM9094699 Colorectal tumor, Patient 3 Colorectal tumor, Patie…
- GSM9094700 Colon, Patient 4 Colon, Patient
- GSM9094701 Colorectal tumor, Patient 4 Colorectal tumor, Patie…
- GSM9094702 PC metastasis, Patient 5 PC metastasis, Patient
- GSM9094703 PC metastasis, Patient 6 PC metastasis, Patient
- GSM9094704 Colon, Patient 7 Colon, Patient
- GSM9094705 Colorectal tumor, Patient 7 Colorectal tumor, Patie…
- GSM9094706 PC metastasis, Patient 7 PC metastasis, Patient
- GSM9094707 PC metastasis, Patient 8 PC metastasis, Patient
- GSM9094708 Colon, Patient 9 Colon, Patient
- GSM9094709 Colorectal tumor, Patient 9 Colorectal tumor, Patie…
- GSM9094710 PC metastasis, Patient 9 PC metastasis, Patient
- GSM9094711 Colon, Patient 10 Colon, Patient
- GSM9094712 Colorectal tumor, Patient 10 Colorectal tumor, Patie…
- GSM9094713 Colon, Patient 11 Colon, Patient
- GSM9094714 Colorectal tumor, Patient 11 Colorectal tumor, Patie…
- 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
- GSE110009 Single cell transcriptome landscape of primary and metastatic tumor in colon cancer 76 samples same disease briefing · shares colon
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing
- GSE225182 Gene expression profiling study to identify distinct subtypes in Peritoneal metastasis of colorectal cancer 33 samples shares colorectal, peritoneal, metastasis
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples shares colorectal, metastasis
- GSE237876 Deciphering metastatic route-specific signals and their microenvironment interactions in peritoneal metastasis of gastric cancer 66 samples shares peritoneal, metastasis
- GSE266330 Single cell profiling of bone metastasis ecosystems from multiple cancer types reveals convergent and divergent mechanisms of bone colonization 63 samples shares metastasis, colon
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.