The effect of menin-inhibition on the human AML cell line MV4-11 [ATAC-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 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
- Homo sapiens (human)
- Samples
- 12 samples: 6 × Vehicle vs 6 × SNDXGroups 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
- Menin inhibition enhances graft-versus-leukemia effects by T-cell activation and endogenous retrovirus induction in AMLBlood · 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 GSE294576_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 PRJNA1250526 and SRA study SRP578501. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 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.
- GSM8911719 Vehicle replicate 1 Vehicle
- GSM8911720 Vehicle replicate 2 Vehicle
- GSM8911721 Vehicle replicate 3 Vehicle
- GSM8911722 Vehicle replicate 4 Vehicle
- GSM8911723 Vehicle replicate 5 Vehicle
- GSM8911724 Vehicle replicate 6 Vehicle
- GSM8911725 SNDX replicate 1 SNDX
- GSM8911726 SNDX replicate 2 SNDX
- GSM8911727 SNDX replicate 3 SNDX
- GSM8911728 SNDX replicate 4 SNDX
- GSM8911729 SNDX replicate 5 SNDX
- GSM8911730 SNDX replicate 6 SNDX
- GSE326946 Transcriptomic profiling of AML cell lines MV4-11 and Kasumi-1 treated with CK1α degrader PinA1 12 samples shares mv4-11, aml, line
- GSE282258 Imaging-based drug screening combined with moleuclar profiling identifies signatures and drivers of therapy resistance in pediatric AML [ATAC-seq] 44 samples shares aml, atac-seq
- GSE300680 A streamlined and comprehensive protocol for the generation and multi-omic analysis of human monocyte-derived macrophages [bulk RNA-Seq] 20 samples shares aml, line
- GSE264030 BRD9 regulates normal human hematopoietic stem cell function and lineage differentiation [ATAC-Seq] 9 samples shares atac-seq, line
- GSE222946 Early activity of GATA3 mediates patterning and lineage specification in human gastrulation [ATAC-seq] 22 samples shares atac-seq, line
- GSE328410 ATAC-seq of synovial sarcoma cell lines treated with the BRD9 PROTAC degrader WA-68 17 samples shares atac-seq, line
- GSE289805 Histone H4 lysine 20 tri-methylation safeguards breast cancer lineage fidelity and unfolded protein response [ChIP-seq/ATAC-seq] 126 samples shares atac-seq, line
- GSE308846 Reprogramming lineage features promotes epithelial behavior in carcinoma cells [ATAC-seq] 6 samples shares atac-seq, line
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.