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ZNF200 interacts with DDX17 to regulate the transcriptional activity of RBP-J. [ChIP-Seq]

GSE309203 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2026/02/26 Platform GPL34284
At a glance

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
ZNF200 and DDX17 regulatory loop promotes tumor growth and metastasis by activating RBPJ transcription in non-small cell lung cancerScience China. Life sciences · 2026
Summary (written by the submitters)
In order to explore the molecular mechanism of ZNF200 in the development of NSCLC, we conducted CUT&Tag experiments in the H1299 cell line using IgG and ZNF200 antibodies. Based on previous exploratory experiments, we found an interaction between DDX17 and ZNF200. Therefore, we stably transfected DDX17-HA into H1299 cells and performed CUT&Tag experiments using IgG and ZNF200 antibodies.
Read the full summary ↓
We then discovered that both ZNF200 and DDX17 act on the promoter region of RBP-J. Consequently, in the DDX17-HA stable transfectants of H1299,H520 and A549 cells, we knocked down ZNF200 and performed CUT&Tag experiments using HA antibodies. At the same time, we knocked down ZNF200 and DDX17 in the H520and A549 cell lines, respectively. Since H3K4me3, as an epigenetic modification, is a hallmark of the active status of gene promoter regions and is usually associated with the activation of gene expression, we subsequently used antibodies against histone H3K4me3 for the CUT&Tag experiments.
Published in
ZNF200 and DDX17 regulatory loop promotes tumor growth and metastasis by activating RBPJ transcription in non-small cell lung cancer
Zhang Y, Zhu H, Wang X et al. · Science China. Life sciences 2026 · PMID 42364057 · doi:10.1007/s11427-025-3348-7
This dataset
Open GSE309203 in finder → Find more human ChIP / ATAC / CUT&Tag datasets →
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.

Series matrix ↓
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 GSE309203_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1334328 and SRA study SRP627193. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42364057) ↗
Study design
16 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 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.

Samples in this study
Datasets on a similar topic

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