Comprehensive Molecular and Functional Analysis of NUTM1-Rearranged Leukemia [ATAC-Seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × Control vs 3 × BN1 vs 3 × MA9 vs 3 × MEGroups 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
- Comprehensive molecular and functional analysis of NUTM1-rearranged leukemiaBlood · 2026
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 GSE276675_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 PRJNA1158684 and SRA study SRP531688. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8504030 Control_1 Control
- GSM8504031 Control_2 Control
- GSM8504032 Control_3 Control
- GSM8504033 BN1_1 BN1
- GSM8504034 BN1_2 BN1
- GSM8504035 BN1_3 BN1
- GSM8504036 MA9_1 MA9
- GSM8504037 MA9_2 MA9
- GSM8504038 MA9_3 MA9
- GSM8504039 ME_1 ME
- GSM8504040 ME_2 ME
- GSM8504041 ME_3 ME
- GSE279088 Molecular dynamics driving phenotypic divergence among KRAS mutants in pancreatic tumorigenesis [ATAC-Seq] 74 samples shares atac-seq
- GSE285308 Functional memory T cells are derived from exhausted clones and expanded by checkpoint blockade [ATAC-Seq] 33 samples shares atac-seq
- GSE283255 Distinct Vps34-orchestrated signaling processes dictate the transitional heterogeneity and functional adaptation of effector Treg cells [ATAC-seq2] 14 samples shares atac-seq
- GSE245399 ATAC-seq analysis of early T cell progenitors from various gene deficient mice 12 samples shares atac-seq
- GSE283256 Distinct Vps34-orchestrated signaling processes dictate the transitional heterogeneity and functional adaptation of effector Treg cells [ATAC-seq1] 10 samples shares atac-seq
- GSE310273 ATAC-seq after CRISPR perturbation of CD8⁺ T cells in young vs. aged tumors 48 samples shares atac-seq
- GSE264614 Emerging cooperativity between Oct4 and Sox2 governs the pluripotency network in mouse early embryos [ATAC-seq] 44 samples shares atac-seq
- GSE302858 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [ATAC-seq] 42 samples shares atac-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.