Investigating microenvironment in CMML
RNA-seq (gene expression) · human · 90 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)
- Samples
- 90 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
- 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 GSE248596_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 PRJNA1044825 and SRA study SRP474074. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run CMML1 … CMML90 and carry no group information.
- GSM7917579 CMML1
- GSM7917580 CMML2
- GSM7917581 CMML3
- GSM7917582 CMML4
- GSM7917583 CMML5
- GSM7917584 CMML6
- GSM7917585 CMML7
- GSM7917586 CMML8
- GSM7917587 CMML9
- GSM7917588 CMML10
- GSM7917589 CMML11
- GSM7917590 CMML12
- GSM7917591 CMML13
- GSM7917592 CMML14
- GSM7917593 CMML15
- GSM7917594 CMML16
- GSM7917595 CMML17
- GSM7917596 CMML18
- GSM7917597 CMML19
- GSM7917598 CMML20
- GSM7917599 CMML21
- GSM7917600 CMML22
- GSM7917601 CMML23
- GSM7917602 CMML24
- GSM7917603 CMML25
- GSM7917604 CMML26
- GSM7917605 CMML27
- GSM7917606 CMML28
- GSM7917607 CMML29
- GSM7917608 CMML30
- GSM7917609 CMML31
- GSM7917610 CMML32
- GSM7917611 CMML33
- GSM7917612 CMML34
- GSM7917613 CMML35
- GSM7917614 CMML36
- GSM7917615 CMML37
- GSM7917616 CMML38
- GSM7917617 CMML39
- GSM7917618 CMML40
+ 50 more — browse all 90 samples with per-sample file links →
- GSE264117 Investigating microenvironment in MDS II 503 samples shares microenvironment, investigating
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares microenvironment
- 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 microenvironment
- GSE310388 In situ multi-modal characterization of pancreatic cancer reveals tumor cell identity as a defining factor of the surrounding microenvironment. [RNA-Seq] 171 samples shares microenvironment
- GSE281260 Spatially organized inflammatory myeloid-CD8+ T cell aggregates linked to Merkel-cell Polyomavirus driven Reorganization of the Tumor Microenvironment 146 samples shares microenvironment
- GSE279256 RAS pathway activation and microenvironmental adaptation as hallmarks of myeloid sarcoma 108 samples shares microenvironment
- GSE294016 A macrophage-predominant, immunosuppressive immune microenvironment and subtype-specific therapeutic vulnerabilities in advanced salivary gland cancer [bulk RNA-seq] 95 samples shares microenvironment
- GSE265899 Spatially resolved whole-transcriptomic and proteomic profiling of lung cancer and immune-microenvironment according to PD-L1 expression 95 samples shares microenvironment
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.