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Acute multi-level response to defective de novo chromatin assembly in S-phase

GSE262518 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 72 samples Submitted 2024/04/17 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 72 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
72 samples: 50 distinct titles, 12 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.
Paper
Acute multi-level response to defective de novo chromatin assembly in S-phasebioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Long-term perturbation of de novo chromatin assembly during DNA replication has profound effects on epigenome maintenance and cell fate. The early mechanistic origin of these defects is unknown. Here, we combine acute degradation of Chromatin Assembly Factor 1 (CAF-1), a key player in de novo chromatin assembly, with single-cell genomics, quantitative proteomics, and live-microscopy to uncover these initiating mechanisms in human cells.
Read the full summary ↓
CAF-1 loss immediately slows down DNA replication speed and renders nascent DNA hyper-accessible. A rapid cellular response, distinct from canonical DNA damage signaling, is triggered and lowers histone mRNAs. As a result, histone variants usage and their modifications are altered, limiting transcriptional fidelity and delaying chromatin maturation within a single S-phase. This multi-level response induces a cell-cycle arrest after mitosis. Our work reveals the immediate consequences of defective de novo chromatin assembly during DNA replication, explaining how at later times the epigenome and cell fate can be altered.
Published in
Acute multi-level response to defective de novo chromatin assembly in S-phase
Dreyer J, Ricci G, van den Berg J et al. · bioRxiv : the preprint server for biology 2024 · PMID 38585916 · doi:10.1101/2024.03.22.586291
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 GSE262518_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 PRJNA1092098 and SRA study SRP497950. Searching any of these in the dataset finder brings you back here.

Study design
50 distinct titles, 12 of them repeated
VASAseq on Asynch. RPE1 WT cells plate ×6 10min dTAG treated RPE1 double pulse scEdU-se… ×4 2hr dTAG treated RPE1 double pulse scEdU-seq … ×4 DMSO treated RPE1 double pulse scEdU-seq plate ×4 repli-ATAC replicate 3 Post-replication chrom… ×2 repli-ATAC replicate 3 Post-replication chrom… ×2 DMSO treated RPE1 clone6 double pulse scEdU-s… ×2 2hr dTAG treated RPE1 clone6 double pulse scE… ×2 +4 more

Supports a case/control comparison: 24 samples read as cases, 29 as controls.

How we read this: Read from 72 sample titles: 50 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

+ 32 more — browse all 72 samples with per-sample file links →

Datasets on a similar topic

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

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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.