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TICRR/TRESLIN and MTBP Cut&Run in G1 synchronized HCT 116 cells

GSE274464 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 30 samples Submitted 2025/05/27 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 30 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
30 samples: 12 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.
Paper
Cell cycle-dependent TICRR/TRESLIN and MTBP chromatin binding mechanisms and patternsGenome biology · 2025
Summary (written by the submitters)
The selection of replication origins plays a crucial role in eukaryotic DNA replication. However, the mechanisms of origin selection in humans are not yet well-defined. Recent work in yeast has shown that the recruitment of Sld3-Sld7 to origins during G1 is involved in origin selection. In humans, TICRR/TRESLIN and MTBP are the orthologs of Sld3 and Sld7, respectively. In this study, we have mapped the genomic binding locations of TICRR/TRESLIN and MTBP in a population of G1 synchronized cells.
Published in
Cell cycle-dependent TICRR/TRESLIN and MTBP chromatin binding mechanisms and patterns
Noble TD, Sansam CG, Wittig KA et al. · Genome biology 2025 · PMID 40624716 · doi:10.1186/s13059-025-03665-9
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 GSE274464_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 PRJNA1146462 and SRA study SRP525458. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in triplicate
Cycling_HCT116_GFP ×3 Cycling_MTBP_GFP ×3 Cycling_TICRR_GFP ×3 G1_HCT116_GFP ×3 G1_MTBP_GFP ×3 G1_TICRR_GFP ×3 Cycling_HCT116_IgG_50 ×2 Cycling_MTBP_IgG_50 ×2 +4 more

Supports a between-group comparison across 30 samples.

How we read this: 12 replicated groups read from 30 sample titles; they account for 30 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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