Differential gene expression in leukemia is driven by enhancer heterogeneity
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 166 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
- 166 samples: 120 distinct titles, 30 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.
- Paper
- Enhancer heterogeneity in acute lymphoblastic leukemia drives differential gene expression in patientsBlood · 2025
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 GSE283182_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 PRJNA1192279 and SRA study SRP548389. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 166 sample titles: 120 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.
- GSM8656927 RS411 AFF1
- GSM8656928 RS411 H3K27ac
- GSM8656929 RS411 H3K4me1
- GSM8656930 RS411 H3K4me3
- GSM8656931 RS411 H3K79me2
- GSM8656932 RS411 KMT2A
- GSM8656933 SEM AFF1C
- GSM8656934 SEM BAZ2B
- GSM8656935 SEM BCL6
- GSM8656936 SEM BIOCAP
- GSM8656937 SEM BRD2
- GSM8656938 SEM BRD3
- GSM8656939 SEM BRG1
- GSM8656940 SEM CDK6
- GSM8656941 SEM CFP1
- GSM8656942 SEM CTCF
- GSM8656943 SEM CYCLINT1
- GSM8656944 SEM E2A
- GSM8656945 SEM ELF1
- GSM8656946 SEM ERG
- GSM8656947 SEM EZH2
- GSM8656948 SEM FLI1
- GSM8656949 SEM H3K27ac
- GSM8656950 SEM H3K27me3
- GSM8656951 SEM H3K36me2
- GSM8656952 SEM H3K36me3
- GSM8656953 SEM H3K4me1
- GSM8656954 SEM H3K4me3
- GSM8656955 SEM H3K79me2
- GSM8656956 SEM H3K79me3
- GSM8656957 SEM H3K9me3
- GSM8656958 SEM JMJD2A
- GSM8656959 SEM KMT2A-N
- GSM8656960 SEM KSRP
- GSM8656961 SEM LEDGF
- GSM8656962 SEM LEO1
- GSM8656963 SEM MED1
- GSM8656964 SEM MED26
- GSM8656965 SEM MENIN
- GSM8656966 SEM MLLT1
+ 126 more — browse all 166 samples with per-sample file links →
- GSE270503 Epigenetic heterogeneity and state-specific transcriptional programs determine differential drug response in osteosarcoma [Cut&Run] 56 samples shares heterogeneity, differential
- GSE244446 Altered enhancer-promoter interaction leads to MNX1 expression in pediatric acute myeloid leukemia with t(7;12)(q36;p13) [ACT-Seq] 32 samples shares leukemia, enhancer
- GSE244275 Altered enhancer-promoter interaction leads to MNX1 expression in pediatric acute myeloid leukemia with t(7;12)(q36;p13) [4C-Seq] 10 samples shares leukemia, enhancer
- GSE126044 Genome-wide identification of differentially methylated promoters and enhancers associated with response to anti-PD-1 therapy in non-small cell lung cancer 16 samples shares differential, enhancer
- GSE278751 A stem cell model identifies two alternative cell fates in CBFA2T3::GLIS2-driven acute megakaryoblastic leukemia initiation (Multiome scRNA-seq/scATAC-seq) 14 samples shares leukemia, driven
- GSE316497 Genotype-Epigenome-Phenotype Integration Reveals the Contributions of Peripheral Immune Cells to Bipolar Disorder Pathogenesis, Phenotypic Heterogeneity, and Therapy 1012 samples shares heterogeneity
- GSE268035 STAG2 Mutations Reshape the Cohesin-Structured Spatial Chromatin Architecture to Drive Gene Regulation in Acute myeloid Leukemia 541 samples shares leukemia
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares heterogeneity
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.