CHD3 regulates BMP signalling response during cranial neural crest cell specification
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 56 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)
- Samples
- 56 samples: 56 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
- The NuRD component CHD3 promotes BMP signalling during cranial neural crest cell specificationEMBO reports · 2025
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 GSE288669_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 PRJNA1218894 and SRA study SRP561376. 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 56 sample titles: 56 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.
- GSM8772792 MT693_CHD3_WT_D0_CNCC_RNA_rep1
- GSM8772793 MT723_CHD3_WT_D0_CNCC_RNA_rep2
- GSM8772794 MT735_CHD3_WT_D0_CNCC_RNA_rep3
- GSM8772795 MT697_CHD3_KO_D0_CNCC_RNA_rep1
- GSM8772796 MT727_CHD3_KO_D0_CNCC_RNA_rep2
- GSM8772797 MT739_CHD3_KO_D0_CNCC_RNA_rep3
- GSM8772798 MT695_CHD3_HET_D0_CNCC_RNA_rep1
- GSM8772799 MT725_CHD3_HET_D0_CNCC_RNA_rep2
- GSM8772800 MT737_CHD3_HET_D0_CNCC_RNA_rep3
- GSM8772801 MT814_CHD3_WT_D18_CNCC_RNA_rep1
- GSM8772802 MT815_CHD3_WT_D18_CNCC_RNA_rep2
- GSM8772803 MT820_CHD3_KO_D18_CNCC_RNA_rep1
- GSM8772804 MT821_CHD3_KO_D18_CNCC_RNA_rep2
- GSM8772805 MT822_CHD3_KO_D18_CNCC_RNA_rep3
- GSM8772806 MT694_CHD3_WT_D20_CNCC_RNA_rep1
- GSM8772807 MT724_CHD3_WT_D20_CNCC_RNA_rep2
- GSM8772808 MT736_CHD3_WT_D20_CNCC_RNA_rep3
- GSM8772809 MT696_CHD3_HET_D20_CNCC_RNA_rep1
- GSM8772810 MT726_CHD3_HET_D20_CNCC_RNA_rep2
- GSM8772811 MT738_CHD3_HET_D20_CNCC_RNA_rep3
- GSM8772812 MT811_CHD3_WT_D14_CNCC_RNA_rep1
- GSM8772813 MT812_CHD3_WT_D14_CNCC_RNA_rep2
- GSM8772814 MT817_CHD3_KO_D14_CNCC_RNA_rep1
- GSM8772815 MT818_CHD3_KO_D14_CNCC_RNA_rep2
- GSM8772816 MT819_CHD3_KO_D14_CNCC_RNA_rep3
- GSM8772817 MT898_CHD3_WT_D14_CHIP_INPUT
- GSM8772818 MT899_CHD3_WT_D14_CHIP_CHD3_32
- GSM8772819 MT900_CHD3_WT_D14_CHIP_CHD3_33
- GSM8772820 MT933_CHD3_WT_D18_CHIP_INPUT
- GSM8772821 MT934_CHD3_WT_D18_CHIP_CHD3_rep1
- GSM8772822 MT903_CHD3_WT_D14_CHIP_DLX5_32
- GSM8772823 MT905_CHD3_KO_D14_CHIP_DLX5_212
- GSM8772824 MT906_CHD3_KO_D14_CHIP_DLX5_35
- GSM8772825 MT801_CHD3_WT_D14_CNCC_ATAC_rep1
- GSM8772826 MT802_CHD3_WT_D14_CNCC_ATAC_rep2
- GSM8772827 MT803_CHD3_KO_D14_CNCC_ATAC_rep1
- GSM8772828 MT804_CHD3_KO_D14_CNCC_ATAC_rep2
- GSM8772829 MT807_CHD3_WT_D18_CNCC_ATAC_rep1
- GSM8772830 MT808_CHD3_WT_D18_CNCC_ATAC_rep2
- GSM8772831 MT809_CHD3_KO_D18_CNCC_ATAC_rep1
+ 16 more — browse all 56 samples with per-sample file links →
- GSE293821 SALL4 recruits BAF to activate enhancers required for cranial neural crest cell specification 26 samples shares specification, cranial, neural, crest
- GSE261850 Evaluation of the effects of FGF8, Endothelin-1, and BMP4 (FEDB) on induced pluripotent stem cell (iPSC)-derived neural crest cells (NCCs) induced in two-dimensional (2D) conditions 4 samples shares bmp, neural, crest
- GSE261846 ARID1A-BAF coordinates ZIC2 genomic occupancy for epithelial to mesenchymal transition in cranial neural crest lineage commitment. 74 samples shares cranial, neural, crest
- GSE264742 Isogenic hiPSC models of Turner syndrome development reveal shared roles of inactive X and Y in the human cranial neural crest network 52 samples shares cranial, neural, crest
- GSE267008 Effect of TWIST1 dosage changes on chromatin accessibility in hESC-derived cranial neural crest cells 20 samples shares cranial, neural, crest
- GSE294935 Induced neural progenitor specification from human pluripotent stem cells by a refined synthetic Notch platform 16 samples shares specification, neural
- GSE323137 Targeting the CHD3 Chromatin Remodeler Exploits a Synthetic Lethal Vulnerability in SWI/SNF-Deficient Cancers via Toxic Derepression of PARD3B 39 samples shares chd3
- GSE199628 Loss of tumor-derived SMAD4 enhances primary tumor growth but not metastasis following BMP4 signalling 16 samples shares bmp
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.