Gene expression profiling study to identify distinct subtypes in Peritoneal metastasis of colorectal cancer
RNA-seq (gene expression) · human · 33 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
- Colorectal cancerThis series is part of our curated briefing on it.
- Samples
- 33 samples: 33 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
- CILP2 is a potential biomarker for the prediction and therapeutic target of peritoneal metastases in colorectal cancerScientific reports · 2024
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 GSE225182_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: 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 PRJNA934310 and SRA study SRP422265. 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 33 sample titles: 33 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.
- GSM7040884 PMCRC1_N_RNA-seq
- GSM7040885 PMCRC1_PT_RNA-seq
- GSM7040886 PMCRC1_MT_RNA-seq
- GSM7040887 PMCRC2_N_RNA-seq
- GSM7040888 PMCRC2_PT_RNA-seq
- GSM7040889 PMCRC2_MT_RNA-seq
- GSM7040890 PMCRC3_N_RNA-seq
- GSM7040891 PMCRC3_PT_RNA-seq
- GSM7040892 PMCRC3_MT_RNA-seq
- GSM7040893 PMCRC4_N_RNA-seq
- GSM7040894 PMCRC4_PT_RNA-seq
- GSM7040895 PMCRC4_MT_RNA-seq
- GSM7040896 PMCRC5_N_RNA-seq
- GSM7040897 PMCRC5_PT_RNA-seq
- GSM7040898 PMCRC5_MT_RNA-seq
- GSM7040899 PMCRC6_N_RNA-seq
- GSM7040900 PMCRC6_PT_RNA-seq
- GSM7040901 PMCRC6_MT_RNA-seq
- GSM7040902 PMCRC7_PT_RNA-seq
- GSM7040903 PMCRC8_PT_RNA-seq
- GSM7040904 PMCRC9_PT_RNA-seq
- GSM7040905 PMCRC10_PT_RNA-seq
- GSM7040906 PMCRC11_PT_RNA-seq
- GSM7040907 PMCRC12_PT_RNA-seq
- GSM7040908 PMCRC13_PT_RNA-seq
- GSM7040909 PMCRC14_PT_RNA-seq
- GSM7040910 PMCRC15_PT_RNA-seq
- GSM7040911 PMCRC16_PT_RNA-seq
- GSM7040912 PMCRC17_PT_RNA-seq
- GSM7040913 PMCRC18_N_RNA-seq
- GSM7040914 PMCRC18_PT_RNA-seq
- GSM7040915 PMCRC18_MT_RNA-seq
- GSM7040916 PMCRC19_PT_RNA-seq
- 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
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing
- GSE267010 A consensus molecular subtypes classification strategy for clinical colorectal cancer tissues 104 samples shares colorectal, subtypes
- GSE233236 Pan-Cancer Single-Cell Dissection Reveals Phenotypically Distinct B Cell Subtypes 78 samples shares distinct, subtypes
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples shares metastasis, colorectal
- GSE237876 Deciphering metastatic route-specific signals and their microenvironment interactions in peritoneal metastasis of gastric cancer 66 samples shares peritoneal, metastasis
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.