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RCOR2 downregulates CIITA via HDAC1-mediated histone deacetylation in cancer cells [ChIP-seq]

GSE270024 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/06/28 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
12 samples: 6 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
Tumoral RCOR2 promotes tumor development through dual epigenetic regulation of tumor plasticity and immunogenicityThe Journal of clinical investigation · 2025
Summary (written by the submitters)
RCOR2 and HDAC1 directly co-binds to CIITA gene. RCOR2 knockout does not affect HDAC1 binding on CIITA gene. RCOR2 has no binding on most MHCII genes.
Published in
Tumoral RCOR2 promotes tumor development through dual epigenetic regulation of tumor plasticity and immunogenicity
Bao L, Zhu M, Luo M et al. · The Journal of clinical investigation 2025 · PMID 40608411 · doi:10.1172/JCI188801
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE270024_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1124879 and SRA study SRP514313. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
MDA-MB-231-HA-RCOR2, HA, CST, ×2 MDA-MB-231, Input for HA-RCOR2, ×2 MDA-MB-231, parental, HDAC1, Bethyl, ×2 MDA-MB-231, RCOR2-KO1, HDAC1, Bethyl, ×2 MDA-MB-231, parental, Input for HDAC1, ×2 MDA-MB-231, RCOR2-KO1, Input for HDAC1, ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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.

Samples in this study
Datasets on a similar topic

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