JMJD1C facilitates long distance genomic interactions by promoting condensates formation of key leukemic transcription factors in multiple AML cells [ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 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
- 18 samples: 18 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
- JMJD1C forms condensate to facilitate a RUNX1-dependent gene expression program shared by multiple types of AML cellsProtein & cell · 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 GSE251726_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 PRJNA1055125 and SRA study SRP479310. 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 18 sample titles: 18 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.
- GSM7986526 CMK, JMJD1C
- GSM7986527 CMK, input
- GSM7986528 MOLM13, JMJD1C
- GSM7986529 MOLM13, input
- GSM7986530 MV4_11, JMJD1C
- GSM7986531 MV4_11, input
- GSM7986532 KG1, JMJD1C
- GSM7986533 MOLM13, RUNX1
- GSM7986534 Kasumi1, shNC, 1, JMJD1C
- GSM7986535 Kasumi1, shNC, 2, JMJD1C
- GSM7986536 Kasumi1, shRUNX1, 28, JMJD1C
- GSM7986537 Kasumi1, shRUNX1, 92, JMJD1C
- GSM7986538 Kasumi1, shRNA, input
- GSM7986539 MOLM13, shNC, 1, JMJD1C
- GSM7986540 MOLM13, shNC, 2, JMJD1C
- GSM7986541 MOLM13, shRUNX1, 59, JMJD1C
- GSM7986542 MOLM13, shRUNX1, 92, JMJD1C
- GSM7986543 MOLM13, shRNA, input
- GSE122515 Bonn Dataset 3 of meta-analysis on AML classification, RNAseq dataset 0 samples same disease briefing · shares aml
- GSE137851 The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia 387 samples same disease briefing · shares transcription
- GSE270185 Repurposing CD19-directed immunotherapies for pediatric t(8;21) acute myeloid leukemia 249 samples same disease briefing
- GSE137574 Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells 24 samples same disease briefing
- GSE129437 Genome-wde mapping of BRD9 binding sites and gene expression changes upon BRD9 knockdown 6 samples same disease briefing
- 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
- GSE289435 Single-cell transcriptional atlas of hematopoiesis reveals genetic and hierarchy-based determinants of aberrant differentiation in AML 13 samples shares aml, transcription
- GSE319092 Integrated Multi-Omics and Interactome Analysis of CDK8 Inhibition Reveals Erythroid Differentiation Programs and BET Synergy in AML Stem-like Cells 135 samples shares aml
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.