Retinoic acid and ascorbate synergize to suppress myeloid leukemia via TET2 activation
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 75 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
- 75 samples: 20 conditions, mostly in triplicateGroups 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
- Retinoic acid and ascorbate synergize to suppress myeloid leukemia via TET2 activationCell reports · 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 GSE241585_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 PRJNA1008734 and SRA study SRP456775. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 59 samples.
How we read this: 20 replicated groups read from 75 sample titles; they account for 59 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.
- GSM7731269 U-937, vehicle, rep1, ATAC-seq
- GSM7731270 U-937, vehicle, rep2, ATAC-seq
- GSM7731271 U-937, LAA, rep1, ATAC-seq
- GSM7731272 U-937, LAA, rep2, ATAC-seq
- GSM7731273 U-937, ATRA, rep1, ATAC-seq
- GSM7731274 U-937, ATRA, rep2, ATAC-seq
- GSM7731275 U-937, LAA+ATRA, rep1, ATAC-seq
- GSM7731276 U-937, LAA+ATRA, rep2, ATAC-seq
- GSM7731277 U-937, vehicle, rep1, RNA-seq
- GSM7731278 U-937, vehicle, rep2, RNA-seq
- GSM7731279 U-937, LAA, rep1, RNA-seq
- GSM7731280 U-937, LAA, rep2, RNA-seq
- GSM7731281 U-937, ATRA, rep1, RNA-seq
- GSM7731282 U-937, ATRA, rep2, RNA-seq
- GSM7731283 U-937, LAA+ATRA, rep1, RNA-seq
- GSM7731284 U-937, LAA+ATRA, rep2, RNA-seq
- GSM8424609 U-937, vehicle, rep1 U-937, vehicle,
- GSM8424610 U-937, vehicle, rep2 U-937, vehicle,
- GSM8424611 U-937, vehicle, rep3 U-937, vehicle,
- GSM8424612 U-937, LAA, rep1 U-937, LAA,
- GSM8424613 U-937, LAA, rep2 U-937, LAA,
- GSM8424614 U-937, LAA, rep3 U-937, LAA,
- GSM8424615 U-937, ATRA, rep1 U-937, ATRA,
- GSM8424616 U-937, ATRA, rep2 U-937, ATRA,
- GSM8424617 U-937, ATRA, rep3 U-937, ATRA,
- GSM8424618 U-937, LAA+ATRA, rep1 U-937, LAA+ATRA,
- GSM8424619 U-937, LAA+ATRA, rep2 U-937, LAA+ATRA,
- GSM8424620 U-937, LAA+ATRA, rep3 U-937, LAA+ATRA,
- GSM9025245 MV4-11, vehicle, ATAC-seq, rep1 MV4-11, vehicle, ATAC-s…
- GSM9025246 MV4-11, vehicle, ATAC-seq, rep2 MV4-11, vehicle, ATAC-s…
- GSM9025247 MV4-11, vehicle, ATAC-seq, rep3 MV4-11, vehicle, ATAC-s…
- GSM9025248 MV4-11, LAA, ATAC-seq, rep2 MV4-11, LAA, ATAC-seq,
- GSM9025249 MV4-11, LAA, ATAC-seq, rep3 MV4-11, LAA, ATAC-seq,
- GSM9025250 MV4-11, ATRA, ATAC-seq, rep1 MV4-11, ATRA, ATAC-seq,
- GSM9025251 MV4-11, ATRA, ATAC-seq, rep2 MV4-11, ATRA, ATAC-seq,
- GSM9025252 MV4-11, ATRA, ATAC-seq, rep3 MV4-11, ATRA, ATAC-seq,
- GSM9025253 MV4-11, LAA+ATRA, ATAC-seq, rep1 MV4-11, LAA+ATRA, ATAC-…
- GSM9025254 MV4-11, LAA+ATRA, ATAC-seq, rep2 MV4-11, LAA+ATRA, ATAC-…
- GSM9025255 MV4-11, LAA+ATRA, ATAC-seq, rep3 MV4-11, LAA+ATRA, ATAC-…
- GSM9025256 MV4, vehicle, 5hmC-seq, rep1 MV4, vehicle, 5hmC-seq,
+ 35 more — browse all 75 samples with per-sample file links →
- GSE211434 Diverse immune suppressing cancer communications with myeloid cells prevent T cell activation and recruitment and provide resistance to cell cycle inhibitor therapy 81 samples shares activation, suppress, myeloid
- GSE240497 Activation of a nongenetic AHR-ELMSAN1 axis optimizes BET-targeting therapy and suppresses leukemia stem cells in preclinical models 66 samples shares activation, suppress, leukemia
- GSE309979 GeoMx GeoMx-DSP Toxic Lipid-induced Epigenetic Activation of ICAM1 in Liver Sinusoidal Endothelium Regulates Myeloid-Driven Fibro-inflammatory Response in MASH 217 samples shares activation, myeloid
- GSE245249 CRISPR activation screens identify the SWI-SNF ATPases as suppressors of ferroptosis 65 samples shares activation, suppress
- GSE306950 Dysregulated NK Cell Activation and Myeloid-Lymphoid Imbalance Underpin COPD Progression: Insights from High-Dimensional Immune Profiling and Smoking-Induced Immune Remodeling 35 samples shares activation, myeloid
- GSE270902 Twist1-induced suppression of oncogene-induced senescence in non-small cell lung cancer requires the transactivation domain of Twist1 12 samples shares activation, suppress
- GSE235244 Senescent cancer-associated fibroblasts in pancreatic adenocarcinoma suppress CD8+ T cell activation and inhibit response to immune checkpoint therapy [hPDAC] 8 samples shares activation, suppress
- GSE210435 TET2 Mutant Clonal Hematopoiesis Enhances Severity of COVID-19 Related Cytokine Release Syndrome and is Associated with Increased Mortality. 363 samples shares tet2
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.