CCN6/WISP3 suppresses metaplastic breast carcinoma by antagonizing a WNT/b-catenin/EZH2 cascade
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 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
- Mus musculus (mouse)
- 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.
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 GSE250575_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 PRJNA1054558 and SRA study SRP479027. 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.
- GSM7981310 PPGS-Vector-1 (RNA-seq)
- GSM7981311 PPGS-Vector-2 (RNA-seq)
- GSM7981312 PPGS-Vector-3 (RNA-seq)
- GSM7981313 DNTCF4-Vector-1 (RNA-seq)
- GSM7981314 DNTCF4-Vector-2 (RNA-seq)
- GSM7981315 DNTCF4-Vector-3 (RNA-seq)
- GSM7981316 DNTCF4-EZH2-1 (RNA-seq)
- GSM7981317 DNTCF4-EZH2-2 (RNA-seq)
- GSM7981318 DNTCF4-EZH2-3 (RNA-seq)
- GSM7981319 DNTCF4-SET-1 (RNA-seq)
- GSM7981320 DNTCF4-SET-2 (RNA-seq)
- GSM7981321 DNTCF4-SET-3 (RNA-seq)
- GSM7981884 PPGS_4_IgG
- GSM7981885 dnTCF4_3_IgG
- GSM7981886 PPGS_1_IgG
- GSM7981887 PPGS_2_IgG
- GSM7981888 dnTCF4_1_H3K27me3
- GSM7981889 PPGS_3_H3K27me3
- GSM7981890 dnTCF4_1_IgG
- GSM7981891 PPGS_3_IgG
- GSM7981892 dnTCF4_4_IgG
- GSM7981893 dnTCF4_2_IgG
- GSM7981894 PPGS_4_H3K27me3
- GSM7981895 dnTCF4_3_H3K27me3
- GSM7981896 dnTCF4_4_H3K27me3
- GSM7981897 dnTCF4_2_H3K27me3
- GSM7981898 PPGS_1_H3K27me3
- GSM7981899 PPGS_2_H3K27me3
- GSE250574 CCN6/WISP3 suppresses metaplastic breast carcinoma by antagonizing a WNT/b-catenin/EZH2 cascade [ChIP-seq] 16 samples shares wisp3, ccn6, ezh2, wnt, antagonizing, metaplastic, suppresses, b-catenin
- GSE250538 CCN6/WISP3 suppresses metaplastic breast carcinoma by antagonizing a WNT/b-catenin/EZH2 cascade [RNA-seq] 12 samples shares wisp3, ccn6, ezh2, wnt, antagonizing, metaplastic, suppresses, b-catenin
- GSE237954 Oncofetal reprogramming drives phenotypic plasticity in WNT-dependent colorectal cancer 122 samples shares wnt
- GSE214191 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop 63 samples shares ezh2
- GSE283937 A high MAPK, low WNT cell state drives metastatic dissemination in colorectal cancer 49 samples shares wnt
- GSE262920 EZH2 deletion does not impact acinar cell regeneration but restricts progression to pancreatic cancer in mice 47 samples shares ezh2
- GSE214190 Oxidative Stress Converts Benign Lesions to Cancer via a Self-Amplifying NRF2-EZH2 Loop [ATACseq_ChIPseq_RNAseq] 35 samples shares ezh2
- GSE254318 EZH2 loss promotes gastric squamous cell carcinoma 32 samples shares ezh2
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.