Non-canonical activating roles of RCoR2 sustain transcription in adrenergic neuroblastoma [ChIP-Seq 2]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 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
- 10 samples: 5 conditions, mostly in duplicateGroups 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 GSE281213_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 PRJNA1182731 and SRA study SRP543497. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 5 replicated groups read from 10 sample titles; they account for 10 of them. 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.
- GSM8614995 Kelly_RCOR1_Rep1 Kelly_RCOR1
- GSM8614996 Kelly_RCOR1_Rep2 Kelly_RCOR1
- GSM8614997 Kelly_RCOR2-3xF_DOX_Rep1 Kelly_RCOR2-3xF_DOX
- GSM8614998 Kelly_RCOR2-3xF_DOX_Rep2 Kelly_RCOR2-3xF_DOX
- GSM8614999 Kelly_RCOR2-3xF_NT_Rep1 Kelly_RCOR2-3xF_NT
- GSM8615000 Kelly_RCOR2-3xF_NT_Rep2 Kelly_RCOR2-3xF_NT
- GSM8615001 Kelly_RCOR3_Rep1 Kelly_RCOR3
- GSM8615002 Kelly_RCOR3_Rep2 Kelly_RCOR3
- GSM8615003 Kelly-shRUNX1T1_NT_LSD1_Rep1 Kelly-shRUNX1T1_NT_LSD1
- GSM8615004 Kelly-shRUNX1T1_NT_LSD1_Rep2 Kelly-shRUNX1T1_NT_LSD1
- 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.