TWIST1 mediated transcriptional activation of SPON2 drives colorectal peritoneal metastasis through stromal cell signaling network
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 28 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Topic
- Colorectal 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
- TWIST1 mediated transcriptional activation of SPON2 drives colorectal cancer peritoneal metastasis through stromal cell signaling networkOncogene · 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 GSE319741_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1425037 and SRA study SRP677807. 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.
- GSM9525611 RNA-seq of WT MDST8 cells (Rep A)
- GSM9525612 RNA-seq of WT MDST8 cells (Rep B)
- GSM9525613 RNA-seq of WT MDST8 cells (Rep C)
- GSM9525614 RNA-seq of TWIST1 KO MDST8 cells, clone TG1 (Rep A)
- GSM9525615 RNA-seq of TWIST1 KO MDST8 cells, clone TG1 (Rep B)
- GSM9525616 RNA-seq of TWIST1 KO MDST8 cells, clone TG1 (Rep C)
- GSM9525617 RNA-seq of TWIST1 KO MDST8 cells, clone TG2 (Rep A)
- GSM9525618 RNA-seq of TWIST1 KO MDST8 cells, clone TG2 (Rep B)
- GSM9525619 RNA-seq of TWIST1 KO MDST8 cells, clone TG2 (Rep C)
- GSM9525620 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 2A)
- GSM9525621 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 2B)
- GSM9525622 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 2C)
- GSM9525623 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 5A)
- GSM9525624 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 5B)
- GSM9525625 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 5C)
- GSM9525626 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 6A)
- GSM9525627 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 6B)
- GSM9525628 RNA-seq of TWIST1 KO MDST8 cells, clone TG3 (Rep 6C)
- GSM9525629 RNA-seq of Control LoVo cells (Rep A)
- GSM9525630 RNA-seq of Control LoVo cells (Rep B)
- GSM9525631 RNA-seq of Control LoVo cells (Rep C)
- GSM9525632 RNA-seq of TWIST1 KD LoVo cells (Rep 1)
- GSM9525633 RNA-seq of TWIST1 KD LoVo cells (Rep 2)
- GSM9525634 RNA-seq of TWIST1 KD LoVo cells (Rep 3)
- GSM9525635 TWIST1 ChIP-seq in MDST8 cells
- GSM9525636 Input control for MDST8 ChIP
- GSM9525637 TWIST1 ChIP-seq in LoVo cells
- GSM9525638 Input control for LoVo ChIP
- GSE12032 Inherent gene signature of stage II and III colorectal cancer leads in individual recurrence 198 samples same disease briefing · shares colorectal
- 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
- GSE109308 Single-cell transcriptomic survey of adenomatous polyposis patients with germline APC mutations 97 samples same disease briefing
- GSE110009 Single cell transcriptome landscape of primary and metastatic tumor in colon cancer 76 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
- GSE277721 Genome-wide in vivo dynamics of cohesin-mediated loop extrusion and its role in transcription activation 176 samples shares activation, mediated
- GSE336781 ZFP36L2 orchestrates stress-adaptive plasticity in intestinal regeneration and colorectal cancer metastasis 93 samples shares colorectal, metastasis
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples shares colorectal, 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.