Analysis of chromatin accessbility in erythroid cells following CRISPR editing or ASO perturbation of BCL11A enhancer
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 13 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
- 13 samples: 10 distinct titles, 3 of them repeatedGroups 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
- Silencing of BCL11A by disrupting enhancer-dependent epigenetic insulationBlood · 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 GSE292669_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 PRJNA1240665 and SRA study SRP575735. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 13 sample titles: 10 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.
- GSM8863023 HUDEP-2_ATAC_rep1
- GSM8863024 HUDEP-2_ATAC_rep2
- GSM8863025 HUDEP-2_sg1617_13bp_ATAC
- GSM8863026 HUDEP-2_sg1617_15bp_ATAC
- GSM8863027 CD34_AAVS_ATAC_rep1
- GSM8863028 CD34_AAVS_ATAC_rep2
- GSM8863029 CD34_sg1617_ATAC_rep1
- GSM8863030 CD34_sg1617_ATAC_rep2
- GSM8863033 HUDEP-2_Ctrl_ASO_ATAC
- GSM8890057 SCD_CD34_AAVS_ATAC
- GSM8890058 SCD_CD34_sg1617_ATAC
- GSM9225152 HUDEP-2_ASO12_ATAC
- GSM9225153 HUDEP-2_ASO23_ATAC
- GSE278910 Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling [CUT&RUN] 30 samples shares crispr, chromatin
- GSE301512 Chromatin topology dynamics of dexamethasone-treated trabecular meshwork identifies 78 causal genes for intraocular pressure and primary open angle glaucoma [CUT&Run] 30 samples shares aso, chromatin
- GSE295495 dCas9 level on chromatin to validate the specificity of CRISPRi-sgRNAs 21 samples shares crispr, chromatin
- GSE241598 Proteasome inhibition reprograms chromatin landscape in breast cancer (ChIP-Seq) 18 samples shares aso, chromatin
- GSE301516 Chromatin topology dynamics of dexamethasone-treated trabecular meshwork identifies 78 causal genes for intraocular pressure and primary open angle glaucoma [ATAC] 12 samples shares aso, chromatin
- GSE301525 Chromatin topology dynamics of dexamethasone-treated trabecular meshwork identifies 78 causal genes for intraocular pressure and primary open angle glaucoma 131 samples shares aso, chromatin
- GSE292698 Silencing of BCL11A by Disrupting Enhancer-Dependent Chromatin Insulation 95 samples shares bcl11a, chromatin
- GSE255699 Paired CRISPR screens to map gene regulation in cis and trans (CUT&RUN) 30 samples shares crispr
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.