← BioTransfer GEO Dataset Finder
GEO series

Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in Hippo-dependent cancer models

GSE305254 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 299 samples Submitted 2026/05/07 Platform GPL24676Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 299 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
299 samples: 250 distinct titles, 20 of them repeatedGroups 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.
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
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 GSE305254_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 PRJNA1304927 and SRA study SRP698473. Searching any of these in the dataset finder brings you back here.

Study design
250 distinct titles, 20 of them repeated
NGS4532 BP043209 ES-2 DMSO, ×8 NGS4532 BP043210 NCI-H226 DMSO, ×4 NGS4532 BP045307 NCI-H226 DMSO, ×4 NGS4532 BP045308 NCI-H226 DMSO, ×4 NGS4532 BP045309 ES-2 DMSO, ×4 NGS4532 BP045309 NCI-H358 DMSO, ×4 NGS4532 BP043210 NCI-H358 DMSO, ×3 NGS4532 BP045307 NCI-H358 DMSO, ×3 +12 more

Supports a case/control comparison: 27 samples read as cases, 127 as controls.

How we read this: Read from 299 sample titles: 250 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

+ 259 more — browse all 299 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.