Regulated TRESLIN-MTBP loading governs initiation zones and replication timing in human DNA replication [ChIP-Seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 46 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
- 46 samples: 46 samples, each with a distinct title — no replicated groupsGroups 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
- Regulated TRESLIN-MTBP loading governs initiation zones and replication timing in human DNA replicationNature communications · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE293195_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1243334 and SRA study SRP573880. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 46 sample titles: 46 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.
- GSM8878437 ChIP control with untagged cells, Late-G1, Rep1 (Input)
- GSM8878438 ChIP control with untagged cells, Late-G1, Rep1 (ChIP)
- GSM8878439 ChIP control with untagged cells, Late-G1, Rep2 (Input)
- GSM8878440 ChIP control with untagged cells, Late-G1, Rep2 (ChIP)
- GSM8878441 MCM2-3xFLAG cells, Late-G1, Rep1 (Input)
- GSM8878442 MCM2-3xFLAG cells, Late-G1, Rep1 (ChIP)
- GSM8878443 MCM2-3xFLAG cells, Late-G1, Rep2 (Input)
- GSM8878444 MCM2-3xFLAG cells, Late-G1, Rep2 (ChIP)
- GSM8878445 MCM2-3xFLAG cells, Late-G1, pre-extracted (Input)
- GSM8878446 MCM2-3xFLAG cells, Late-G1, pre-extracted (ChIP)
- GSM8878447 3xFLAG-ORC1 cells, Late-G1 (Input)
- GSM8878448 3xFLAG-ORC1 cells, Late-G1 (ChIP)
- GSM8878449 3xFLAG-ORC2 cells, Late-G1 (Input)
- GSM8878450 3xFLAG-ORC2 cells, Late-G1 (ChIP)
- GSM8878451 MCM4-3xFLAG cells, Late-G1 (Input)
- GSM8878452 MCM4-3xFLAG cells, Late-G1 (ChIP)
- GSM8878453 MCM4-3xFLAG Bromo-RNAPol2 cells, Late-G1, DMSO (Input)
- GSM8878454 MCM4-3xFLAG Bromo-RNAPol2 cells, Late-G1, DMSO (ChIP)
- GSM8878455 MCM4-3xFLAG Bromo-RNAPol2 cells, Late-G1, AGB1 (Input)
- GSM8878456 MCM4-3xFLAG Bromo-RNAPol2 cells, Late-G1, AGB1 (ChIP)
- GSM8878457 3xFLAG-ORC1 RIF1-KO cells, Late-G1 (Input)
- GSM8878458 3xFLAG-ORC1 RIF1-KO cells, Late-G1 (ChIP)
- GSM8878459 MCM2-3xFLAG RIF1-KO cells, Late-G1 (Input)
- GSM8878460 MCM2-3xFLAG RIF1-KO cells, Late-G1 (ChIP)
- GSM8878461 MCM4-3xFLAG RIF1-KO cells, Late-G1 (Input)
- GSM8878462 MCM4-3xFLAG RIF1-KO cells, Late-G1 (ChIP)
- GSM8878463 3xFLAG-TRESLIN cells, Early-G1 (Input)
- GSM8878464 3xFLAG-TRESLIN cells, Early-G1 (ChIP)
- GSM8878465 3xFLAG-TRESLIN GINS4-mAID cells, Early-S, DMSO (Input)
- GSM8878466 3xFLAG-TRESLIN GINS4-mAID cells, Early-S, DMSO (ChIP)
- GSM8878467 3xFLAG-TRESLIN GINS4-mAID cells, Early-S, 5phIAA (Input)
- GSM8878468 3xFLAG-TRESLIN GINS4-mAID cells, Early-S, 5phIAA (ChIP)
- GSM8878469 MTBP-3xFLAG cells, Early-G1 (Input)
- GSM8878470 MTBP-3xFLAG cells, Early-G1 (ChIP)
- GSM8878471 MTBP-3xFLAG CDC45-mAID cells, Early-S, DMSO (Input)
- GSM8878472 MTBP-3xFLAG CDC45-mAID cells, Early-S, DMSO (ChIP)
- GSM8878473 MTBP-3xFLAG CDC45-mAID cells, Early-S, 5phIAA (Input)
- GSM8878474 MTBP-3xFLAG CDC45-mAID cells, Early-S, 5phIAA (ChIP)
- GSM8878475 3xFLAG-TRESLIN RIF1-KO cells, Early-G1 (Input)
- GSM8878476 3xFLAG-TRESLIN RIF1-KO cells, Early-G1 (ChIP)
+ 6 more — browse all 46 samples with per-sample file links →
- GSE253121 NELF prevents transcriptional readthrough into DNA replication zones in cancer cells 70 samples shares replication, zones
- GSE228346 The TFIIH kinase CDK7 governs RNA polymerase II initiation, elongation, termination, and RNA processing 30 samples shares initiation, governs
- GSE280574 mChIP-seq for high-throughput epigenomic profiling reveals a decoupling of H2A.Z and H3K4me3 in cancer 576 samples shares chip-seq
- GSE271752 Macromolecular interactions dictate Polycomb-mediated epigenetic repression [ChIP-seq] 194 samples shares chip-seq
- GSE277608 Characterization of induced cohesin loop extrusion trajectories in living cells [ChIP-seq] 147 samples shares chip-seq
- GSE299672 PHIP suppresses NuRD to enable the growth of SWI/SNF-mutant cancers [ChIP-seq] 132 samples shares chip-seq
- GSE289805 Histone H4 lysine 20 tri-methylation safeguards breast cancer lineage fidelity and unfolded protein response [ChIP-seq/ATAC-seq] 126 samples shares chip-seq
- GSE297914 PU.1-Activated Genomic Regions Define Low-risk MDS Subsets Characterized by Immune Dysregulation and Disease Progression [ChIP-seq] 112 samples shares chip-seq
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.