Investigating microenvironment in MDS II
RNA-seq (gene expression) · human · 503 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Topic
- Myelodysplastic syndromesThis series is part of our curated briefing on it.
- Samples
- 503 samples: 381 × MDS vs 19 × DonoGroups 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
- An Immune Dysfunction Signature Score Predicts Survival in MDS Patients: Insights From a Longitudinal, Multicenter StudyCancer science · 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 GSE264117_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1101011 and SRA study SRP502082. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 400 samples.
How we read this: 2 replicated groups read from the first 400 of 503 sample titles; they account for 400 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.
- GSM8211709 Donor10 Dono
- GSM8211710 Donor11 Dono
- GSM8211711 Donor12 Dono
- GSM8211712 Donor13 Dono
- GSM8211713 Donor14 Dono
- GSM8211714 Donor15 Dono
- GSM8211715 Donor16 Dono
- GSM8211716 Donor17 Dono
- GSM8211717 Donor18 Dono
- GSM8211718 Donor19 Dono
- GSM8211719 Donor1 Dono
- GSM8211720 Donor20 Dono
- GSM8211721 Donor2 Dono
- GSM8211722 Donor3 Dono
- GSM8211723 Donor4 Dono
- GSM8211724 Donor5 Dono
- GSM8211725 Donor6 Dono
- GSM8211726 Donor7 Dono
- GSM8211727 Donor8 Dono
- GSM8211728 MDS1001 MDS
- GSM8211729 MDS1002 MDS
- GSM8211730 MDS1004 MDS
- GSM8211731 MDS1005 MDS
- GSM8211732 MDS1007 MDS
- GSM8211733 MDS1014 MDS
- GSM8211734 MDS1018 MDS
- GSM8211735 MDS1019 MDS
- GSM8211736 MDS1020 MDS
- GSM8211737 MDS1025 MDS
- GSM8211738 MDS1026 MDS
- GSM8211739 MDS1027 MDS
- GSM8211740 MDS1028 MDS
- GSM8211741 MDS1029 MDS
- GSM8211742 MDS1035 MDS
- GSM8211743 MDS1036 MDS
- GSM8211744 MDS1038 MDS
- GSM8211745 MDS1039 MDS
- GSM8211746 MDS1040 MDS
- GSM8211747 MDS1044 MDS
- GSM8211748 MDS1046 MDS
+ 463 more — browse all 503 samples with per-sample file links →
- GSE288862 ScRNA-Seq of Human MDS and AML Bone Marrow Marrow Microenvironment. 3 samples same disease briefing · shares mds, microenvironment
- GSE281562 Unique epigenomic signatures identify biologically significant subtypes of MDS and predict response to azacytidine [RNA-Seq] 83 samples same disease briefing · shares mds
- 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 mds
- GSE316081 SLF2 and SMC5 dysfunction drives HSC aging and predisposes to MDS, defining a new inherited bone marrow failure syndrome [RNA-seq] 6 samples same disease briefing · shares mds
- GSE284647 The genotype-integrated gene expression profile at the single-cell level of bone marrow CD34-positive hematopoietic stem and progenitor cells (HSPCs) from a patient with myelodysplastic neoplasms (MDS) harboring germline and somatic DDX41 variants. 1 samples same disease briefing · shares mds
- GSE298020 PU.1-Activated Genomic Regions Define Low-risk MDS Subsets Characterized by Immune Dysregulation and Disease Progression. 493 samples same disease briefing · shares mds
- GSE275000 Clinical response to azacitidine in MDS is associated with distinct DNA methylation changes in HSPCs 104 samples same disease briefing · shares mds
- GSE31174 Affymetrix SNP array data for myelodysplastic syndromes (MDS) and related neoplasms 58 samples same disease briefing · shares mds
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.