MECOM is a master repressor of myeloid differentiation through dose control of CEBPA in acute myeloid leukemia
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 117 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)
- Topic
- Acute myeloid leukemiaThis series is part of our curated briefing on it.
- Samples
- 117 samples: 86 distinct titles, 16 of them repeatedGroups 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.
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 GSE286033_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 PRJNA1207514 and SRA study SRP559270. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 12 samples read as cases, 17 as controls.
How we read this: Read from 117 sample titles: 86 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.
- GSM8709468 MUTZ3 - 4C - VP_CEBPA_promoter - CL8 - NoAuxin
- GSM8709469 MUTZ3 - 4C - VP_CEBPA_promoter - CL8 - Auxin
- GSM8709470 MUTZ3 - 4C - VP_CEBPA_promoter - CL9 - NoAuxin
- GSM8709471 MUTZ3 - 4C - VP_CEBPA_promoter - CL9 - Auxin
- GSM8709472 MUTZ3 - 4C - VP_CEBPA42kbEnhancer - CL8 - NoAuxin
- GSM8709473 MUTZ3 - 4C - VP_CEBPA42kbEnhancer - CL8 - Auxin
- GSM8709474 MUTZ3 - 4C - VP_CEBPA42kbEnhancer - CL9 - NoAuxin
- GSM8709475 MUTZ3 - 4C - VP_CEBPA42kbEnhancer - CL9 - Auxin
- GSM8709476 MUTZ3 - ATAC-seq - CL8 - no_tx - 24HRS
- GSM8709477 MUTZ3 - ATAC-seq - CL8 - no_tx - 4HRS
- GSM8709478 MUTZ3 - ATAC-seq - CL8 - Auxin - 24HRS
- GSM8709479 MUTZ3 - ATAC-seq - CL8 - Auxin - 4HRS
- GSM8709480 MUTZ3 - ATAC-seq - CL9 - no_tx - 24HRS
- GSM8709481 MUTZ3 - ATAC-seq - CL9 - no_tx - 4HRS
- GSM8709482 MUTZ3 - ATAC-seq - CL9 - Auxin - 24HRS
- GSM8709483 MUTZ3 - ATAC-seq - CL9 - Auxin - 4HRS
- GSM8709484 MUTZ3 - V5 ChIP-seq - CL14 - no_tx
- GSM8709485 MUTZ3 - V5 ChIP-seq - CL20 - no_tx
- GSM8709486 MUTZ3 - H3K27ME3 ChIP-seq - CL8 - Auxin - EXP1
- GSM8709487 MUTZ3 - H3K9ME3 ChIP-seq - CL8 - Auxin - EXP1
- GSM8709488 MUTZ3 - H3K27ME3 ChIP-seq - CL8 - NoAuxin - EXP1
- GSM8709489 MUTZ3 - H3K9ME3 ChIP-seq - CL8 - NoAuxin - EXP1
- GSM8709490 MUTZ3 - CTBP2 ChIP-seq - CL9 - Auxin - EXP1
- GSM8709491 MUTZ3 - H3K27ME3 ChIP-seq - CL9 - Auxin - EXP2
- GSM8709492 MUTZ3 - H3K9ME3 ChIP-seq - CL9 - Auxin - EXP2
- GSM8709493 MUTZ3 - CTBP2 ChIP-seq - CL9 - NoAuxin - EXP1
- GSM8709494 MUTZ3 - CTBP2 ChIP-seq - CL9 - NoAuxin - EXP2
- GSM8709495 MUTZ3 - H3K27ME3 ChIP-seq - CL9 - NoAuxin - EXP2
- GSM8709496 MUTZ3 - H3K9ME3 ChIP-seq - CL9 - NoAuxin - EXP2
- GSM8709497 MUTZ3 - Input ChIP-seq - CL9 - NoAuxin - EXP1
- GSM8709498 MUTZ3 - Input ChIP-seq TF - MUTZ3_3E7 - no_tx
- GSM8709499 MUTZ3 - H3K27ac ChIP-seq - CL8 - Auxin
- GSM8709500 MUTZ3 - H3K27ac ChIP-seq - CL8 - NoAuxin
- GSM8709501 MUTZ3 - H3K27ac ChIP-seq - CL9 - Auxin
- GSM8709502 MUTZ3 - H3K27ac ChIP-seq - CL9 - NoAuxin
- GSM8709503 MUTZ3 - input ChIP-seq Double - MUTZ3_3E7 - no_tx
- GSM8709504 MUTZ3 - P300 ChIP-seq - CL8 - Auxin
- GSM8709505 MUTZ3 - P300 ChIP-seq - CL8 - NoAuxin
- GSM8709506 MUTZ3 - P300 ChIP-seq - CL9 - Auxin
- GSM8709507 MUTZ3 - P300 ChIP-seq - CL9 - NoAuxin
+ 77 more — browse all 117 samples with per-sample file links →
- GSE137851 The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia 387 samples same disease briefing · shares leukemia, myeloid, acute
- GSE270185 Repurposing CD19-directed immunotherapies for pediatric t(8;21) acute myeloid leukemia 249 samples same disease briefing · shares leukemia, myeloid, acute
- GSE137574 Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells 24 samples same disease briefing · shares leukemia, myeloid, acute
- GSE303795 Halofuginone exerts broad-spectrum cytotoxic effects by regulating p-eIF2α-S100A8/A9-calcium signaling, inhibiting global protein synthesis, and reversing the resistance of idarubicin in acute myeloid leukemia 6 samples same disease briefing · shares leukemia, myeloid, acute
- GSE129437 Genome-wde mapping of BRD9 binding sites and gene expression changes upon BRD9 knockdown 6 samples same disease briefing
- GSE122515 Bonn Dataset 3 of meta-analysis on AML classification, RNAseq dataset 0 samples same disease briefing
- GSE211032 Expression Analysis (RNA-Seq) of adult Myelodysplastic Syndromes (MDS)/Acute Myeloid Leukemia (AML) with isolated monosomy 7 compared to controls 45 samples shares leukemia, myeloid, control, acute
- GSE241581 DCAF15 control of cohesin dynamics sustains acute myeloid leukemia 36 samples shares leukemia, myeloid, control, acute
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.