Non-canonical activating roles of RCoR2 sustain transcription in adrenergic neuroblastoma [ChIP-seq 1]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 16 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
- 16 samples: 16 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
- Non-canonical activating roles of RCoR2 sustain transcription in adrenergic neuroblastomaCell reports · 2025
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 GSE281212_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 PRJNA1182735 and SRA study SRP543642. 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 16 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.
- GSM8614979 Kelly_shRCOR1_Pol2_NT
- GSM8614980 Kelly_shRCOR1_Pol2_DOX
- GSM8614981 Kelly_shRCOR2_Pol2_NT
- GSM8614982 Kelly_shRCOR2_Pol2_DOX
- GSM8614983 Kelly_shRCOR1_H3K27ac_NT
- GSM8614984 Kelly_shRCOR1_H3K27ac_DOX
- GSM8614985 Kelly_shRCOR2_H3K27ac_NT
- GSM8614986 Kelly_shRCOR2_H3K27ac_DOX
- GSM8614987 Kelly_shRCOR1_H3K4me2_NT
- GSM8614988 Kelly_shRCOR1_H3K4me2_DOX
- GSM8614989 Kelly_shRCOR2_H3K4me2_NT
- GSM8614990 Kelly_shRCOR2_H3K4me2_DOX
- GSM8614991 LAN5_shRCOR1_H3K27ac_NT
- GSM8614992 LAN5_shRCOR1_H3K27ac_DOX
- GSM8614993 LAN5_shRCOR2_H3K27ac_NT
- GSM8614994 LAN5_shRCOR2_H3K27ac_DOX
- GSE284519 TRIM33 loss reduces Androgen Receptor transcriptional output and H2BK120 ubiquitination [ChIP-seq] 93 samples shares transcription, chip-seq
- GSE296190 Hypoxic regulation of chromatin and gene transcription [ChIP-seq] 84 samples shares transcription, chip-seq
- GSE335058 Evolutionary guided transcription factor design programs novel T cell states [ChIP-Seq] 66 samples shares transcription, chip-seq
- GSE293334 Allelic topological centering by transcription factors drives oncogenic multi-enhancer transcriptional regulation [ChIP-seq] 60 samples shares transcription, chip-seq
- GSE296831 Epigenetic Context Defines the Transcriptional Activity of Canonical and Noncanonical NF-kappaB Signaling in Pancreatic Cancer [ChIP-Seq] 48 samples shares transcription, chip-seq
- GSE259248 ZBTB7A is a modulator of KDM5-driven transcriptional networks in basal breast cancer (ChIP-Seq) 36 samples shares transcription, chip-seq
- GSE267597 AP-1 Mediates Oncogenic Transcription and Predicts Fatality in Lung Squamous Cell Carcinoma Patients [ChIP-seq] 36 samples shares transcription, chip-seq
- GSE300575 Cohesin acts as a transcriptional gatekeeper by restraining pause–release to promote processive elongation [ChIP-seq] 22 samples shares transcription, chip-seq
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.