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Replication Stress Causes Mitotic Nuclear Envelope Reassembly Defect

GSE271990 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2025/08/16 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 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
36 samples: 8 conditions, mostly in triplicateGroups 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)
Replication stress, if not effectively and timely addressed, could result in DNA damage in mitosis. However, it remains unknown the relationship between mitotic DNA damage and other mitotic events such as nuclear envelope (NE) breakdown and reassembly. Here we report that replication stress could generate NE rupture. Rather than de novo formation, the rupture per se is a result of nuclear envelope reassembly defect (NERD) in mitosis.
Read the full summary ↓
Repair of mitotic DNA damage by DNA polymerase theta (Polθ), a key microhomology-mediated end joining (MMEJ) factor, suppresses NERD. Furthermore, exacerbated NERD is observed in multiple conditions of synthetic lethality, suggesting NERD might be a general consequence of synthetic lethality. In addition, genomic mapping of LADs identifies a population of RESS-LADs (replication stress-sensitive LADs). Replication stress causes the loss of CFSs at RESS-LADs, likely due to the sustained phosphorylation of Lamin A/C at the NE rupture sites. Altogether, our findings establish a novel link between replication stress-induced genome instability and nuclear vulnerability.
This dataset
Open GSE271990 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 GSE271990_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 PRJNA1134251 and SRA study SRP519194. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in triplicate
RPE-1, DSMO control, IgG ×3 RPE-1, DSMO control, Lamin AC ×3 RPE-1, DSMO control, Lamin B1 ×3 RPE-1, APH treated, IgG ×3 RPE-1, APH treated, Lamin AC ×3 RPE-1, APH treated, Lamin B1 ×3 IgG_DMSO ×3 IgG_APH ×3 +12 more

Supports a case/control comparison: 15 samples read as cases, 12 as controls.

How we read this: 8 replicated groups read from 36 sample titles; they account for 24 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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