Promoter-bound METTL3 maintains myeloid leukemia by m6A-dependent regulation of protein translation
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 42 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
- 42 samples: 17 conditions, mostly in duplicateGroups 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.
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 GSE94613_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 PRJNA371833 and SRA study SRP099081. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 42 samples.
How we read this: 17 replicated groups read from 42 sample titles; they account for 42 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.
- GSM2481046 Input Ctrl Day 5 Input Ctrl Day
- GSM2481047 Input Ctrl Day 8 Input Ctrl Day
- GSM2481048 Input METTL3 KD1 Day 5 Input METTL3 KD1 Day
- GSM2481049 Input METTL3 KD1 Day 8 Input METTL3 KD1 Day
- GSM2481050 Input METTL3 KD2 Day 5 Input METTL3 KD2 Day
- GSM2481051 Input METTL3 KD2 Day 8 Input METTL3 KD2 Day
- GSM2481052 Ribosome Profiling Ctrl Day 5 Ribosome Profiling Ctrl…
- GSM2481053 Ribosome Profiling Ctrl Day 8 Ribosome Profiling Ctrl…
- GSM2481054 Ribosome Profiling METTL3 KD1 Day 5 Ribosome Profiling METT…
- GSM2481055 Ribosome Profiling METTL3 KD1 Day 8 Ribosome Profiling METT…
- GSM2481056 Ribosome Profiling METTL3 KD2 Day 5 Ribosome Profiling METT…
- GSM2481057 Ribosome Profiling METTL3 KD2 Day 8 Ribosome Profiling METT…
- GSM2481058 Input Ctrl Rep1 Input Ctrl
- GSM2481059 Input Ctrl Rep2 Input Ctrl
- GSM2481060 Input KD1 Day8 Rep1 Input KD1 Day8
- GSM2481061 Input KD1 Day8 Rep2 Input KD1 Day8
- GSM2481062 Input KD2 Day8 Rep1 Input KD2 Day8
- GSM2481063 Input KD2 Day8 Rep2 Input KD2 Day8
- GSM2481064 IP Ctrl Rep1 IP Ctrl
- GSM2481065 IP Ctrl Rep2 IP Ctrl
- GSM2481066 IP KD1 Day8 Rep1 IP KD1 Day8
- GSM2481067 IP KD1 Day8 Rep2 IP KD1 Day8
- GSM2481068 IP KD2 Day8 Rep1 IP KD2 Day8
- GSM2481069 IP KD2 Day8 Rep2 IP KD2 Day8
- GSM2481070 METTL3 Rep1 METTL3
- GSM2481071 METTL3 Rep2 METTL3
- GSM2481072 METTL3 Rep3 METTL3
- GSM2481073 METTL3 Rep4 METTL3
- GSM2481074 METTL3 Rep5 METTL3
- GSM2481075 METTL14 Rep1 METTL14
- GSM2481076 METTL14 Rep2 METTL14
- GSM2481077 METTL14 Rep3 METTL14
- GSM2481078 METTL14 Rep4 METTL14
- GSM2481079 METTL14 Rep5 METTL14
- GSM2481080 H3K4me3 Rep1 H3K4me3
- GSM2481081 H3K4me3 Rep2 H3K4me3
- GSM2481082 IgG Rep1 IgG
- GSM2481083 IgG Rep2 IgG
- GSM2481084 IgG Rep3 IgG
- GSM2481085 Input Rep1 Input
+ 2 more — browse all 42 samples with per-sample file links →
- 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, protein
- 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
- GSE270185 Repurposing CD19-directed immunotherapies for pediatric t(8;21) acute myeloid leukemia 249 samples same disease briefing · shares leukemia, myeloid
- GSE137574 Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells 24 samples same disease briefing · shares leukemia, myeloid
- 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
- GSE270169 GAPDH Controls Transcript Stability, Protein Translation and Drives Proliferation in Acute Myeloid Leukemia [GAPDH_KD_RNAseq] 12 samples shares translation, leukemia, myeloid, protein
- GSE97084 Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans 103 samples shares translation, protein
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.