Somatic mutations and DNA methylation identify a subgroup of poor prognosis within lower risk myelodysplastic syndromes
DNA methylation · human · 374 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Topic
- Myelodysplastic syndromesThis series is part of our curated briefing on it.
- Samples
- 374 samples: 374 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
- Somatic mutations and DNA methylation identify a subgroup of poor prognosis within lower-risk myelodysplastic syndromesHemaSphere · 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 GSE256396_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 beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1079330 and SRA study SRP412010. 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 374 sample titles: 374 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.
- GSM8096870 UPN2_BM_Methyl_MDSp
- GSM8096871 UPN3_BM_Methyl_MDS
- GSM8096872 UPN4_BM_Methyl_MDS
- GSM8096873 UPN5_BM_Methyl_MDSp
- GSM8096874 UPN6_BM_Methyl_MDS
- GSM8096875 UPN8_BM_Methyl_MDS
- GSM8096876 UPN9_BM_Methyl_MDS
- GSM8096877 UPN10_BM_Methyl_MDS
- GSM8096878 UPN11_BM_Methyl_MDS
- GSM8096879 UPN12_BM_Methyl_MDS
- GSM8096880 UPN13_BM_Methyl_MDS
- GSM8096881 UPN14_BM_Methyl_MDS
- GSM8096882 UPN15_BM_Methyl_MDS
- GSM8096883 UPN16_BM_Methyl_MDS
- GSM8096884 UPN17_BM_Methyl_MDS
- GSM8096885 UPN18_BM_Methyl_MDS
- GSM8096886 UPN19_BM_Methyl_MDS
- GSM8096887 UPN20_BM_Methyl_MDS
- GSM8096888 UPN21_BM_Methyl_MDS
- GSM8096889 UPN22_BM_Methyl_MDS
- GSM8096890 UPN23_BM_Methyl_MDS
- GSM8096891 UPN24_BM_Methyl_MDSp
- GSM8096892 UPN25_BM_Methyl_MDSp
- GSM8096893 UPN26_BM_Methyl_MDSp
- GSM8096894 UPN27_BM_Methyl_MDS
- GSM8096895 UPN28_BM_Methyl_MDS
- GSM8096896 UPN29_BM_Methyl_MDS
- GSM8096897 UPN30_BM_Methyl_MDS
- GSM8096898 UPN31_BM_Methyl_MDS
- GSM8096899 UPN32_BM_Methyl_MDS
- GSM8096900 UPN33_BM_Methyl_MDS
- GSM8096901 UPN34_BM_Methyl_MDS
- GSM8096902 UPN35_BM_Methyl_MDS
- GSM8096903 UPN36_BM_Methyl_MDS
- GSM8096904 UPN37_BM_Methyl_MDSp
- GSM8096905 UPN38_BM_Methyl_MDS
- GSM8096906 UPN39_BM_Methyl_MDS
- GSM8096907 UPN40_BM_Methyl_MDS
- GSM8096908 UPN41_BM_Methyl_MDSp
- GSM8096909 UPN43_BM_Methyl_MDS
+ 334 more — browse all 374 samples with per-sample file links →
- GSE129828 DNA Methylation Identifies Genetically and Prognostically Distinct Subtypes of Myelodysplastic Syndromes 141 samples same disease briefing · shares myelodysplastic, methylation, syndromes
- GSE15688 Acquired mutations in TET2 are common in myelodysplastic syndromes 122 samples same disease briefing · shares myelodysplastic, mutations, 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
- GSE237148 Targeting IL-1b–mediated inflammatory signaling overcomes transfusion dependence in early-stage myelodysplastic syndromes 26 samples same disease briefing · shares myelodysplastic, syndromes
- GSE30195 Gene expression profiling in myelodysplastic syndromes 19 samples same disease briefing · shares myelodysplastic, syndromes
- GSE261339 Genome-Wide CRISPR-Cas9 Screening Identifies a Synergy between Hypomethylating Agents and SUMOylation Blockade in Myelodysplastic Syndromes and Acute Myeloid Leukemia 18 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.