Natural killer cells’ functional impairment drives the immune escape of pre-malignant clones in early-stage myelodysplastic syndromes
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)
- Topic
- Myelodysplastic syndromesThis series is part of our curated briefing on it.
- Samples
- 16 samples
- 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
- Natural killer cells' functional impairment drives the immune escape of pre-malignant clones in early-stage myelodysplastic syndromesNature communications · 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 GSE289476_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 PRJNA1223279 and SRA study SRP563732. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 16 more — browse all 16 samples with per-sample file links →
- GSE237148 Targeting IL-1b–mediated inflammatory signaling overcomes transfusion dependence in early-stage myelodysplastic syndromes 26 samples same disease briefing · shares myelodysplastic, early-stage, syndromes
- GSE256396 Somatic mutations and DNA methylation identify a subgroup of poor prognosis within lower risk myelodysplastic syndromes 374 samples same disease briefing · shares myelodysplastic, syndromes
- GSE129828 DNA Methylation Identifies Genetically and Prognostically Distinct Subtypes of Myelodysplastic Syndromes 141 samples same disease briefing · shares myelodysplastic, syndromes
- GSE15688 Acquired mutations in TET2 are common in myelodysplastic syndromes 122 samples same disease briefing · shares myelodysplastic, syndromes
- GSE31174 Affymetrix SNP array data for myelodysplastic syndromes (MDS) and related neoplasms 58 samples same disease briefing · shares myelodysplastic, syndromes
- GSE211032 Expression Analysis (RNA-Seq) of adult Myelodysplastic Syndromes (MDS)/Acute Myeloid Leukemia (AML) with isolated monosomy 7 compared to controls 45 samples same disease briefing · shares myelodysplastic, syndromes
- GSE292039 Splicing of erythroid transcription factor is associated with therapeutic response in myelodysplastic syndromes 27 samples same disease briefing · shares myelodysplastic, syndromes
- GSE30195 Gene expression profiling in myelodysplastic syndromes 19 samples same disease briefing · shares myelodysplastic, syndromes
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.