Translational and rotational setting of nucleosomes across a human genome
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 85 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
- 85 samples: 85 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
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 GSE266547_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 PRJNA1107561 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 85 sample titles: 85 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.
- GSM8248142 28385_50U-3min_1-1
- GSM8248143 28386_50U-3min_2-1
- GSM8248144 28393_50U-30min_1-1
- GSM8248145 28394_50U-30min_2-1
- GSM8248146 25769_50U-10min_1-1
- GSM8248147 25976_50U-10min_2-1
- GSM8248148 28326_50U-10min_3-1
- GSM8248149 28389_50U-10min_4-1
- GSM8248150 28390_50U-10min_5-1
- GSM8248151 28468_50U-10min_6-1
- GSM8248152 28469_50U-10min_7-1
- GSM8248153 28471_50U-10min_8-1
- GSM8248154 28472_50U-10min_9-1
- GSM8248155 28473_50U-10min_10-1
- GSM8248156 28820_50U-10min_11-1
- GSM8248157 33023_50U-10min_12-1
- GSM8248158 33159_50U-10min_12-2
- GSM8248159 33024_50U-10min_13-1
- GSM8248160 33160_50U-10min_13-2
- GSM8248161 33025_50U-10min_14-1
- GSM8248162 33161_50U-10min_14-2
- GSM8248163 33026_50U-10min_15-1
- GSM8248164 33162_50U-10min_15-2
- GSM8248165 33027_50U-10min_16-1
- GSM8248166 33163_50U-10min_16-2
- GSM8248167 33028_50U-10min_17-1
- GSM8248168 33164_50U-10min_17-2
- GSM8248169 33646_50U-10min_18-1
- GSM8248170 33647_50U-10min_19-1
- GSM8248171 33648_50U-10min_20-1
- 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
+ 45 more — browse all 85 samples with per-sample file links →
- GSE267711 Genome-wide rotational and translational phasing of nucleosomes with human transcription factors 54 samples shares translational, nucleosomes, rotational
- GSE266495 Genome-wide rotational and translational phasing of nucleosomes with human transcription factors [ChIP-exo] 48 samples shares translational, nucleosomes, rotational
- GSE248954 Single-cell transcriptomic analysis identified resistant MDSCs and a stress-tolerant gene co-expression network as common MDSC features across multiple disease settings 34 samples shares setting, across
- GSE227197 Translational and Transcriptional control of gene expression during serum stimulation on human RPE-1 cells 32 samples shares translational
- GSE297659 Characterisation of human in vitro tumour-associated macrophage models to define translational relevance 27 samples shares translational
- GSE282509 Human eIF2A has a minimal role in translation initiation and in uORFmediated translational control 20 samples shares translational
- GSE307666 eIF3d and eIF3e mediate selective translational control of hypoxia that can be inhibited by small molecules 120 samples shares translational
- GSE294111 A post-translational regulatory map of chronic antigen-driven human T cell dysfunction 15 samples shares translational
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.