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Notch induces transcription by stimulating release of paused RNA Pol II without increasing chromatin accessibility [ATAC-seq]

GSE269112 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 28 samples Submitted 2024/06/13 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 28 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
28 samples: 14 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.
Summary (written by the submitters)
Notch proteins undergo ligand-induced proteolysis to release a nuclear effector that influences a wide range of cell fate decisions by regulating gene activity. However, despite years of study, how Notch induces the transcription of its target genes remains unclear. Here, we comprehensively examined the response to human Notch1 across a time course of activation, using genomic assays of nascent RNA and chromatin accessibility.
Read the full summary ↓
These data revealed that Notch induces target gene transcription primarily by releasing paused RNA polymerase II (RNAPII), in contrast to prevailing models suggesting that Notch acts by promoting chromatin accessibility. Indeed, we found that open chromatin is established at Notch-responsive regulatory elements prior to Notch signaling, through SWI/SNF-mediated remodeling. Notch activation, however, elicited no further chromatin opening at these loci. Together, these studies reveal that the nuclear response to Notch signaling is dictated by the pre-existing chromatin state and RNAPII distribution at the time of signal activation.
This dataset
Open GSE269112 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 GSE269112_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 PRJNA1120337 and SRA study SRP511910. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
14 conditions, mostly in duplicate
ATAC_0h_GSI_BRM014 ×2 ATAC_0h_GSI_DMSO ×2 ATAC_1h_GSI_BRM014 ×2 ATAC_1h_GSI_DMSO ×2 ATAC_1h_washout_BRM014 ×2 ATAC_1h_washout_DMSO ×2 ATAC_2h_GSI_BRM014 ×2 ATAC_2h_GSI_DMSO ×2 +6 more

Supports a between-group comparison across 28 samples.

How we read this: 14 replicated groups read from 28 sample titles; they account for 28 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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