Downregulation of MGST3 promotes colorectal cancer progression
RNA-seq (gene expression) · human · 14 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
- 14 samples: 14 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
- Downregulation of MGST3 promotes colorectal cancer progressionMolecular and clinical oncology · 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 GSE316039_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 PRJNA1400508 and SRA study SRP661000. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 5 samples read as cases, 4 as controls.
How we read this: Read from 14 sample titles: 14 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.
- GSM9443664 qd150_normal tissue
- GSM9443665 qd170_normal tissue
- GSM9443666 qd174_normal tissue
- GSM9443667 qd180_normal tissue
- GSM9443668 qd168_villous adenoma
- GSM9443669 qd172_villous adenoma
- GSM9443670 qd178_villous adenoma
- GSM9443671 qd102_tubular adenomas
- GSM9443672 qd114_tubular adenomas
- GSM9443673 qd100_early-stage tumor
- GSM9443674 qd112_early-stage tumor
- GSM9443675 qd118_early-stage tumor
- GSM9443676 qd148_advanced tumor
- GSM9443677 qd176_advanced tumor
- 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
- GSE180791 Proteogenomic characterization reveals that lipid droplet formation promotes esophageal squamous cell cancer progression 102 samples shares progression, promotes
- GSE289499 Uncovering Stage-Specific Biomarkers in Colorectal Cancer: RNA-Seq Analysis of Adenoma and Carcinoma Progression 29 samples shares progression, colorectal
- GSE326337 Fusobacterium nucleatum FadA promotes the progression of esophageal squamous cell carcinoma through binding to TFRC 9 samples shares progression, promotes
- GSE312983 A single-nucleus RNA-seq atlas of colorectal cancer across the age continuum reveals distinct features of early-onset colorectal cancer 189 samples shares colorectal
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.