Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [ATAC-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 11 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
- 11 samples: 3 × Ptch1GNP ATAC vs 3 × PNC ATAC vs 3 × Tumor ATAC vs 2 × Tumor Chd7_KOGroups 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.
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 GSE263359_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 PRJNA1096765 and SRA study SRP499988. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 4 replicated groups read from 11 sample titles; they account for 11 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.
- GSM8190201 Ptch1GNP ATAC_1 Ptch1GNP ATAC
- GSM8190202 Ptch1GNP ATAC_2 Ptch1GNP ATAC
- GSM8190203 Ptch1GNP ATAC_3 Ptch1GNP ATAC
- GSM8190204 PNC ATAC_1 PNC ATAC
- GSM8190205 PNC ATAC_2 PNC ATAC
- GSM8190206 PNC ATAC_3 PNC ATAC
- GSM8190207 Tumor ATAC_1 Tumor ATAC
- GSM8190208 Tumor ATAC_2 Tumor ATAC
- GSM8190209 Tumor ATAC_3 Tumor ATAC
- GSM8190210 Tumor Chd7_KO rep1 Tumor Chd7_KO
- GSM8190211 Tumor Chd7_KO rep2 Tumor Chd7_KO
- GSE263360 Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [CUT&Tag] 36 samples shares kmt2c, chd7, medulloblastoma, abnormalities, modification, progression, chromatin
- GSE263362 Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression 71 samples shares kmt2c, chd7, medulloblastoma, abnormalities, modification, progression, chromatin
- GSE263358 Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [RNA-seq] 21 samples shares kmt2c, chd7, medulloblastoma, abnormalities, modification, progression, chromatin
- GSE293000 Chromatin Modification Abnormalities by CHD7 and KMT2C Loss Promote Medulloblastoma Progression [scRNA-seq] 1 samples shares kmt2c, chd7, medulloblastoma, abnormalities, modification, progression, chromatin
- GSE255571 Chromatin remodeler CHD7 regulates neurogenic gene expression via controlling chromatin accessibility and modifications of histone marks H3K27me3 and H3K4me3 [Mouse CUT&Tag] 10 samples shares chd7, modification, chromatin
- GSE255570 Chromatin remodeler CHD7 regulates neurogenic gene expression via controlling chromatin accessibility and modifications of histone marks H3K27me3 and H3K4me3 [Mouse RNA-seq] 4 samples shares chd7, modification, chromatin
- GSE240360 Dynamic Chromatin Alteration Induces Oncogenic Hijacking by Essential Transcriptional Factors during Medulloblastoma Tumorigenesis [ATAC-Seq] 21 samples shares medulloblastoma, chromatin, atac-seq
- GSE267770 KMT2C Deficiency Drives Luminal Transdifferentiation into Double-Negative Prostate Cancer and Sensitizes to Fatty Acid Synthase Inhibition [ATAC-seq] 5 samples shares kmt2c, atac-seq
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.