Two parallel neural ectoderm populations contribute to the developing brain [ATAC-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 30 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
- 30 samples: 10 conditions, mostly in triplicateGroups 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 GSE286146_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 PRJNA1207994 and SRA study SRP556118. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 10 replicated groups read from 30 sample titles; they account for 30 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.
- GSM8718622 hPSC_ATAC_1 hPSC_ATAC
- GSM8718623 hPSC_ATAC_2 hPSC_ATAC
- GSM8718624 hPSC_ATAC_3 hPSC_ATAC
- GSM8718625 DE_ATAC_1 DE_ATAC
- GSM8718626 DE_ATAC_2 DE_ATAC
- GSM8718627 DE_ATAC_3 DE_ATAC
- GSM8718628 aNE_ATAC_1 aNE_ATAC
- GSM8718629 aNE_ATAC_2 aNE_ATAC
- GSM8718630 aNE_ATAC_3 aNE_ATAC
- GSM8718631 pNE_ATAC_1 pNE_ATAC
- GSM8718632 pNE_ATAC_2 pNE_ATAC
- GSM8718633 pNE_ATAC_3 pNE_ATAC
- GSM8718634 aNE_T_ATAC_1 aNE_T_ATAC
- GSM8718635 aNE_T_ATAC_2 aNE_T_ATAC
- GSM8718636 aNE_T_ATAC_3 aNE_T_ATAC
- GSM8718637 aNE_M_ATAC_1 aNE_M_ATAC
- GSM8718638 aNE_M_ATAC_2 aNE_M_ATAC
- GSM8718639 aNE_M_ATAC_3 aNE_M_ATAC
- GSM8718640 aNE_H_ATAC_1 aNE_H_ATAC
- GSM8718641 aNE_H_ATAC_2 aNE_H_ATAC
- GSM8718642 aNE_H_ATAC_3 aNE_H_ATAC
- GSM8718643 pNE_T_ATAC_1 pNE_T_ATAC
- GSM8718644 pNE_T_ATAC_2 pNE_T_ATAC
- GSM8718645 pNE_T_ATAC_3 pNE_T_ATAC
- GSM8718646 pNE_M_ATAC_1 pNE_M_ATAC
- GSM8718647 pNE_M_ATAC_2 pNE_M_ATAC
- GSM8718648 pNE_M_ATAC_3 pNE_M_ATAC
- GSM8718649 pNE_H_ATAC_1 pNE_H_ATAC
- GSM8718650 pNE_H_ATAC_2 pNE_H_ATAC
- GSM8718651 pNE_H_ATAC_3 pNE_H_ATAC
- GSE286214 Two parallel neural ectoderm populations contribute to the developing brain 54 samples shares populations, contribute, developing, parallel, ectoderm, neural, brain
- GSE286147 Two parallel neural ectoderm populations contribute to the developing brain [RNA-seq] 18 samples shares populations, contribute, developing, parallel, ectoderm, neural, brain
- GSE286148 Two parallel neural ectoderm populations contribute to the developing brain [scRNA-seq] 6 samples shares populations, contribute, developing, parallel, ectoderm, neural, brain
- GSE324347 R-loop landscapes in the developing human brain are linked to neural differentiation and cell type-specific transcription [RNA-seq] 6 samples shares developing, neural, brain
- GSE266029 The chromatin remodeler CHD1L controls human cortical neurogenesis and contributes to distal 1q21.1 deletion/duplication syndrome [ATAC-seq] 12 samples shares contribute, atac-seq
- GSE301886 Trisomy 21 drives ADARB1 overexpression and premature RNA recoding in the developing fetal brain 94 samples shares developing, brain
- GSE333448 A roadmap for enriching rare cell populations from human post-mortem brain, demonstrated by 100% microglial purity (scRNA-Seq) 18 samples shares populations, brain
- GSE250144 RNA-sequencing reveals predominance of THRA splicing isoform 2 in developing human brain 16 samples shares developing, brain
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.