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Targeting transcriptional factor YY1 is synthetic lethal with loss of the histone demethylase KDM5C

GSE270719 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2024/06/28 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 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
18 samples: 18 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
Targeting the transcription factor YY1 is synthetic lethal with loss of the histone demethylase KDM5CEMBO reports · 2024
Summary (written by the submitters)
In this study, we screened KDM5C-binding proteins and found that Yin Yang 1 (YY1) interacts with KDM5C. Interestingly, a synergistic antitumor effect was exerted when both KDM5C and YY1 were depleted, and targeting YY1 appeared to be a vulnerability in KDM5C-deficient cancer cells. Mechanistically, KDM5C is essential for global YY1 chromatin recruitment, especially at promoters.
Read the full summary ↓
Moreover, an intact KDM5C JmjC domain but not KDM5C histone demethylase activity is required for KDM5C-mediated YY1 chromatin binding.Transcriptional profiling revealed that dual inhibition of KDM5C and YY1 led to significantly increased transcriptional repression of many cell cycle- and apoptosis-related genes. In summary, our work demonstrates a synthetic lethal interaction between YY1 and KDM5C and suggests a therapeutic vulnerability that can be targeted using combination therapies.
Published in
Targeting the transcription factor YY1 is synthetic lethal with loss of the histone demethylase KDM5C
Zheng Q, Li P, Qiang Y et al. · EMBO reports 2024 · PMID 39433896 · doi:10.1038/s44319-024-00290-8
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 GSE270719_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 PRJNA1128074 and SRA study SRP515964. Searching any of these in the dataset finder brings you back here.

Study design
18 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 18 sample titles: 18 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.

Samples in this study
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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.