BRD2 bridging TFIID and histone acetylation in transcriptional initiation [ChIP-Seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 50 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
- 50 samples: 50 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
- BRD2 bridges TFIID and MOF-H4K16ac-containing nucleosomes to promote transcriptional initiationMolecular cell · 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 GSE287728_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 PRJNA1214346 and SRA study SRP559212. 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 50 sample titles: 50 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.
- GSM8750436 1_GFP-ChIP-seq_DLD-1_18hDox_GFP
- GSM8750437 2_GFP-ChIP-seq_DLD-1_18hDox_GFP-BRD2
- GSM8750438 3_GFP-ChIP-seq_DLD-1_18hDox_GFP-BRD2∆BD
- GSM8750439 4_GFP-ChIP-seq_DLD-1_18hDox_GFP-BRD2_3hDMSO
- GSM8750440 5_GFP-ChIP-seq_DLD-1_18hDox_GFP-BRD2_3hJQ1
- GSM8750441 6_GFP-ChIP-seq_BRD4-IAA7_18hDox_GFP-BRD4_3hDMSO
- GSM8750442 7_GFP-ChIP-seq_BRD4-IAA7_18hDox_GFP-BRD4_3hJQ1
- GSM8750443 8_Pol2-ChIP-seq_BRD2-AID_48hDox_GFP_3hH2O
- GSM8750444 9_Pol2-ChIP-seq_BRD2-AID_48hDox_GFP_3hAux
- GSM8750445 10_Pol2-ChIP-seq_BRD2-AID_48hDox_GFP-BRD2_3hAux
- GSM8750446 11_Pol2-ChIP-seq_BRD2-AID_48hDox_GFP-BRD2∆BD_3hAux
- GSM8750447 12_Pol2-ChIP-seq_DLD-1_18hDox_GFP-BRD2_3hDMSO
- GSM8750448 13_Pol2-ChIP-seq_DLD-1_18hDox_GFP-BRD2_3hJQ1
- GSM8750449 14_Pol2-ChIP-seq_DLD-1_18hDox_GFP-BRD2_3hJQ1_6hWashout
- GSM8750450 15_BRD2-ChIP-seq_BRD2-IAA7_3hH2O
- GSM8750451 16_BRD2-ChIP-seq_BRD2-IAA7_3hAux
- GSM8750452 17_Pol2-ChIP-seq_BRD2-IAA7_3hH2O
- GSM8750453 18_Pol2-ChIP-seq_BRD2-IAA7_3hAux
- GSM8750454 19_TBP-ChIP-seq_BRD2-IAA7_36hDox_GFP_3hH2O
- GSM8750455 20_TBP-ChIP-seq_BRD2-IAA7_36hDox_GFP_3hAux
- GSM8750456 21_TAF1-ChIP-seq_BRD2-IAA7_36hDox_GFP_3hH2O
- GSM8750457 22_TAF1-ChIP-seq_BRD2-IAA7_36hDox_GFP_3hAux
- GSM8750458 23_TBP-ChIP-seq_DLD-1_3hDMSO
- GSM8750459 24_TBP-ChIP-seq_DLD-1_3hJQ1
- GSM8750460 25_TAF1-ChIP-seq_DLD-1_3hDMSO
- GSM8750461 26_TAF1-ChIP-seq_DLD-1_3hJQ1
- GSM8750462 27_BRD2-ChIP-seq_DLD-1_3hDMSO
- GSM8750463 28_BRD2-ChIP-seq_DLD-1_3hJQ1
- GSM8750464 29_Pol2-ChIP-seq_DLD-1_3hDMSO
- GSM8750465 30_Pol2-ChIP-seq_DLD-1_3hJQ1
- GSM8750466 31_Input-ChIP-seq_DLD-1_3hDMSO
- GSM8750467 32_Input-ChIP-seq_DLD-1_3hJQ1
- GSM8750468 33_Pol2-ChIP-seq_BRD2-IAA7_36hDox_GFP_3hH2O
- GSM8750469 34_Pol2-ChIP-seq_BRD2-IAA7_36hDox_GFP_3hAux
- GSM8750470 35_Pol2-ChIP-seq_BRD2-IAA7_36hDox_GFP-BRD2_3hAux
- GSM8750471 36_Pol2-ChIP-seq_BRD2-IAA7_36hDox_GFP-BRD3_3hAux
- GSM8750472 37_Pol2-ChIP-seq_BRD2-IAA7_36hDox_GFP-BRD4_3hAux
- GSM8750473 38_Pol2-ChIP-seq_BRD2-IAA7_36hDox_GFP-BRD4x2BD_3hAux
- GSM8750474 39_Pol2-ChIP-seq_BRD2-IAA7_36hDox_GFP-BRD2x4BD_3hAux
- GSM8750475 40_H3K27ac-ChIP-seq_BRD2-IAA7
+ 10 more — browse all 50 samples with per-sample file links →
- GSE241273 Reduction of ZFX levels decreases histone H4 acetylation and increases Pol2 pausing at target promoters [ChIP-Seq] 42 samples shares acetylation, chip-seq, histone
- GSE286492 CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks 38 samples shares acetylation, chip-seq, histone
- GSE270024 RCOR2 downregulates CIITA via HDAC1-mediated histone deacetylation in cancer cells [ChIP-seq] 12 samples shares acetylation, chip-seq, histone
- GSE308263 Comprehensive mass spectrometry screening-derived atlas of HDAC inhibitors reveals histone specific acetylation changes [ChIP-seq] 12 samples shares acetylation, chip-seq, histone
- GSE256473 SOX2 Drives Esophageal Squamous Carcinoma by Reprogramming Lipid Metabolism and Histone Acetylation Landscape (ChIP-seq) 10 samples shares acetylation, chip-seq, histone
- GSE277183 RNA Polymerase II coordinates histone deacetylation at active promoters 158 samples shares acetylation, histone
- GSE292907 Selective CDK7 Inhibition Sensitizes Tumors to Topoisomerase I Inhibitor-Antibody Drug Conjugates by Blocking The Transition of The RNA polymerase II Initiation Complex into Elongation [ChIP-seq] 97 samples shares initiation, chip-seq
- GSE282758 Disruption of histone acetylation homeostasis reveals multilayered chromatin regulation for transcriptional resiliency 12 samples shares acetylation, histone
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.