Modularity of OCT4 underlies its functional diversity in reprogramming and embryonic development.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 19 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
- 19 samples: 16 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
- Cell-type-specific functionality encoded within the intrinsically disordered regions of OCT4Nature communications · 2025
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 GSE286923_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 PRJNA1210538 and SRA study SRP557858. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 19 sample titles: 16 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.
- GSM8733403 OCT4-WT ChIP OSKM48h
- GSM8733404 Input DNA OSKM48h
- GSM8733405 OCT4-lin29-42 ChIP OSKM48h
- GSM8733406 OCT4-lin95-117 ChIP OSKM48h
- GSM8733407 OCT4-lin-mini ChIP OSKM48h
- GSM8733408 OCT4 ChIP hESCs
- GSM8733409 Input DNA hESCs
- GSM8733410 RNA-seq hFibs
- GSM8733411 RNA-seq hESCs
- GSM8733412 RNA-seq hiPSCs-O-WT
- GSM8733413 RNA-seq hiPSCs-O-lin95-117
- GSM8733414 RNA-seq hiPSCs-O-lin-mini
- GSM8741339 hFib, ATAC-seq, rep1
- GSM8741340 hFib, ATAC-seq, rep2
- GSM8741341 OSKM48h, CTRL_siRNA, ATAC-seq, rep2
- GSM8741342 OSKM48h, STAT3_siRNA, ATAC-seq, rep1
- GSM8741343 OSKM48h, STAT3_siRNA, ATAC-seq, rep2
- GSM8741344 OSKM48h, TNIP2_siRNA, ATAC-seq, rep1
- GSM8741345 OSKM48h, TNIP2_siRNA, ATAC-seq, rep2
- GSE314430 HDAC4 myonuclear reprogramming underlies denervation and weakness following musculoskeletal trauma 43 samples shares reprogramming, underlies
- GSE305637 Transcriptomic Reprogramming of T Cells Underlies Rituximab Efficacy in Idiopathic Nephrotic Syndrome 24 samples shares reprogramming, underlies
- GSE236589 Enhancer reprogramming underlies therapeutic utility of a SMARCA2 degrader in SMARCA4 mutant cancer [ChIP-Seq] 12 samples shares reprogramming, underlies
- GSE307670 Epigenetic reprogramming of stromal cell states underpins pathologic tissue niches in Crohn’s disease 148 samples shares reprogramming
- GSE324208 Epigenetic reprogramming drives cellular and phenotypic plasticity in liposarcoma 42 samples shares reprogramming
- GSE307326 Continuous NRTI-based antiretroviral therapy induces progressive senescence-like reprogramming of alveolar macrophages [snMultiomics] 32 samples shares reprogramming
- GSE283619 Single-cell multi-omics analysis identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma [Multiome] 30 samples shares reprogramming
- GSE271896 Deep longitudinal immune profiling reveals reprogramming of memory T cells that links to B cell dysregulation with age 868 samples shares reprogramming
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.