Genome-wide rotational and translational phasing of nucleosomes with human transcription factors [ChIP-exo]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 48 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
- 48 samples: 48 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
- Genome-wide rotational and translational phasing of nucleosomes with human transcription factorsMolecular 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 GSE266495_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 PRJNA1107336 and SRA study SRP505462. 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 48 sample titles: 48 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.
- GSM8248172 19354_PolII_1-1
- GSM8248173 19355_PolII_2-1
- GSM8248174 28452_H2A_1-1
- GSM8248175 28460_H2A_2-1
- GSM8248176 28453_H2A.Z_1-1
- GSM8248177 28794_H2A.Z_1-2
- GSM8248178 28461_H2A.Z_2-1
- GSM8248179 28799_H2A.Z_2-2
- GSM8248180 28454_H2B_1-1
- GSM8248181 28795_H2B_1-2
- GSM8248182 28462_H2B_2-1
- GSM8248183 28800_H2B_2-2
- GSM8248184 25860_H3_1-1
- GSM8248185 25868_H3_2-1
- GSM8248186 25964_H3_3-1
- GSM8248187 25971_H3_4-1
- GSM8248188 28804_H3_5-1
- GSM8248189 28808_H3_6-1
- GSM8248190 25858_H3K27ac_1-1
- GSM8248191 25866_H3K27ac_2-1
- GSM8248192 25962_H3K27ac_3-1
- GSM8248193 25969_H3K27ac_4-1
- GSM8248194 28806_H3K27ac_5-1
- GSM8248195 28810_H3K27ac_6-1
- GSM8248196 28456_H3K27me3_1-1
- GSM8248197 28796_H3K27me3_1-2
- GSM8248198 28464_H3K27me3_2-1
- GSM8248199 28801_H3K27me3_2-2
- GSM8248200 25863_H3K36me3_1-1
- GSM8248201 25871_H3K36me3_2-1
- GSM8248202 25967_H3K36me3_3-1
- GSM8248203 25974_H3K36me3_4-1
- GSM8248204 28455_H3K4me1_1-1
- GSM8248205 28463_H3K4me1_2-1
- GSM8248206 25861_H3K4me3_1-1
- GSM8248207 25869_H3K4me3_2-1
- GSM8248208 25965_H3K4me3_3-1
- GSM8248209 25972_H3K4me3_4-1
- GSM8248210 28805_H3K4me3_5-1
- GSM8248211 28809_H3K4me3_6-1
+ 8 more — browse all 48 samples with per-sample file links →
- GSE302930 Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes 92 samples shares transcription, factors
- GSE293334 Allelic topological centering by transcription factors drives oncogenic multi-enhancer transcriptional regulation [ChIP-seq] 60 samples shares transcription, factors
- GSE301298 Functional redundancy between UTY and UTX in regulating the localization of transcription factors involved in pluripotency 88 samples shares transcription, factors
- GSE275721 Lineage master regulator and cancer-selective partner transcription factors rewire 3D genome topology for tumor-specific gene control 72 samples shares transcription, factors
- GSE142751 Genome-wide maps of chromatin state in 142 cancer cell lines [cell line] 855 samples shares genome-wide
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares genome-wide
- GSE284519 TRIM33 loss reduces Androgen Receptor transcriptional output and H2BK120 ubiquitination [ChIP-seq] 93 samples shares transcription
- GSE296190 Hypoxic regulation of chromatin and gene transcription [ChIP-seq] 84 samples shares transcription
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.