Super-enhancers-driven SOX4/SMAD3 enhances AXL signaling via membrane phospholipid remodeling to accelerate leukemia progression [CUT&Tag]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 16 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
- 16 samples: 16 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
- Super-Enhancer-Driven SOX4/SMAD3 Mediate Membrane Remodeling by Regulating Phospholipid Metabolism to Accelerate Leukemia ProgressionAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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 GSE292718_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 PRJNA1241150 and SRA study SRP572850. 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 16 sample titles: 16 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.
- GSM8864141 K562 cells, H3K27ac, NO.1 (CUT&Tag)
- GSM8864142 K562 cells, SMAD3, NO.1 (CUT&Tag)
- GSM8864143 K562 cells, SOX4, NO.1 (CUT&Tag)
- GSM8864144 K562 cells, H3K4me1, NO.1 (CUT&Tag)
- GSM8864145 K562 cells, H3K4me3, NO.1 (CUT&Tag)
- GSM8864146 K562 cells, H3K27ac, NO.2 (CUT&Tag)
- GSM8864147 K562 cells, SMAD3, NO.2 (CUT&Tag)
- GSM8864148 K562 cells, SOX4, NO.2 (CUT&Tag)
- GSM8864149 KBM5cells, H3K27ac (CUT&Tag)
- GSM8864150 LAMA-84 cells, H3K4me1 (CUT&Tag)
- GSM8864151 LAMA-84 cells, H3K4me3 (CUT&Tag)
- GSM8864152 LAMA-84 cells, H3K27ac (CUT&Tag)
- GSM8864153 LAMA-84 cells, SMAD3 (CUT&Tag)
- GSM8864154 LAMA-84, SOX4 (CUT&Tag)
- GSM9034440 KBM5cells, SMAD3(CUT&Tag)
- GSM9034441 KBM5cells, SOX4(CUT&Tag)
- GSE243299 3D Chromatin Remodeling in B-cell Development and B-cell Acute Lymphoblastic Leukemia 112 samples shares cut, remodeling
- GSE243298 3D Chromatin Remodeling in B-cell Development and B-cell Acute Lymphoblastic Leukemia [Hi-C] 35 samples shares cut, remodeling
- GSE248287 Remodeling of the immune microenvironment is linked to adverse outcome in pediatric T cell acute lymphoblastic leukemia 34 samples shares cut, remodeling
- GSE341495 Whole-Transcriptome Profiling Reveals RNA Expression Dynamics and ceRNA Network Remodeling across Health, Sepsis, and Sepsis-Associated Acute Respiratory Distress Syndrome 24 samples shares cut, remodeling
- GSE341493 Whole-Transcriptome Profiling Reveals RNA Expression Dynamics and ceRNA Network Remodeling across Health, Sepsis, and Sepsis-Associated Acute Respiratory Distress Syndrome [RNA-Seq] 12 samples shares cut, remodeling
- GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples shares cut
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares cut
- GSE289467 Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [CUT&Tag] 50 samples shares cut
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.