Clinical response to azacitidine in MDS is associated with distinct DNA methylation changes in HSPCs [RNA-Seq]
DNA methylation · human · 52 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Samples
- 52 samples: 52 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
- Clinical response to azacitidine in MDS is associated with distinct DNA methylation changes in HSPCsNature communications · 2025
Read the full summary ↓
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 GSE274999_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 PRJNA1148931 and SRA study SRP526829. 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 52 sample titles: 52 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.
- GSM8464173 P24_C1D1 [RNA-Seq]
- GSM8464174 P24_C1D8 [RNA-Seq]
- GSM8464175 P19_C1D1 [RNA-Seq]
- GSM8464176 P19_C1D8 [RNA-Seq]
- GSM8464177 P04_C1D1 [RNA-Seq]
- GSM8464178 P04_C1D8 [RNA-Seq]
- GSM8464179 P27_C1D1 [RNA-Seq]
- GSM8464180 P27_C1D8 [RNA-Seq]
- GSM8464181 P09_C1D1 [RNA-Seq]
- GSM8464182 P09_C1D8 [RNA-Seq]
- GSM8464183 P09_C7D1 [RNA-Seq]
- GSM8464184 P09_C7D22 [RNA-Seq]
- GSM8464185 P38_C1D1 [RNA-Seq]
- GSM8464186 P38_C1D8 [RNA-Seq]
- GSM8464187 P10_C1D1 [RNA-Seq]
- GSM8464188 P10_C1D8 [RNA-Seq]
- GSM8464189 P10_C7D1 [RNA-Seq]
- GSM8464190 P10_C7D22 [RNA-Seq]
- GSM8464191 P16_C1D1 [RNA-Seq]
- GSM8464192 P16_C1D8 [RNA-Seq]
- GSM8464193 P16_C7D1 [RNA-Seq]
- GSM8464194 P16_C7D22 [RNA-Seq]
- GSM8464195 P14_C1D1 [RNA-Seq]
- GSM8464196 P14_C1D8 [RNA-Seq]
- GSM8464197 P01_C1D1 [RNA-Seq]
- GSM8464198 P01_C1D8 [RNA-Seq]
- GSM8464199 P28_C1D1 [RNA-Seq]
- GSM8464200 P28_C1D8 [RNA-Seq]
- GSM8464201 P15_C1D1 [RNA-Seq]
- GSM8464202 P15_C1D8 [RNA-Seq]
- GSM8464203 P15_C7D1 [RNA-Seq]
- GSM8464204 P15_C7D22 [RNA-Seq]
- GSM8464205 P17_C1D1 [RNA-Seq]
- GSM8464206 P17_C1D8 [RNA-Seq]
- GSM8464207 P17_C7D1 [RNA-Seq]
- GSM8464208 P17_C7D22 [RNA-Seq]
- GSM8464209 P18_C1D1 [RNA-Seq]
- GSM8464210 P18_C1D8 [RNA-Seq]
- GSM8464211 P22_C1D1 [RNA-Seq]
- GSM8464212 P22_C1D8 [RNA-Seq]
+ 12 more — browse all 52 samples with per-sample file links →
- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares clinical, distinct, rna-seq
- GSE292130 Longitudinal changes in DNA methylation in IDH-mutant glioma fuel disease progression through altered cell state differentiation [scRNA-seq] 31 samples shares methylation, changes, rna-seq
- GSE49711 RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [RNA-Seq] 498 samples shares clinical, rna-seq
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares clinical, changes
- GSE264503 Gene expression profile of clinical ESCC tumors, matched normal tissue and lymph node metastatic tissue by RNA-seq analysis 51 samples shares clinical, rna-seq
- GSE309967 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes 48 samples shares clinical, distinct
- GSE297863 Immune-related cutaneous adverse events display distinct clinical and molecular characteristics, depending on immune checkpoints targeted 32 samples shares clinical, distinct
- GSE274217 METTL3-dependent m6A RNA methylation represses transposable elements derived enhancers to suppress naïve pluripotency in human pluripotent stem cells [RNA-Seq] 28 samples shares methylation, rna-seq
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.