Aging modulates the immunosuppressive, polarizing and metabolic functions of blood-derived myeloid-derived suppressor cells (MDSCs)
RNA-seq (gene expression) · human · 16 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
- 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
- Aging modulates the immunosuppressive, polarizing and metabolic functions of blood-derived myeloid-derived suppressor cells (MDSCs)Immunity & ageing : I & A · 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 GSE279455_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 PRJNA1172731 and SRA study SRP538504. 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 →
- GSE285029 Cell-intrinsic PD-L1 signaling drives immunosuppression by myeloid-derived suppressor cells through IL-6/Jak/Stat3 in PD-L1-high lung cance 234 samples shares myeloid-derived, suppressor
- GSE300707 Characterization of human CD34+ HSPC-derived neutrophils with limited myeloid-derived immunosuppressive cell activity 46 samples shares immunosuppressive, myeloid-derived
- GSE252331 The post-septic peripheral myeloid compartment reveals unexpected diversity in myeloid-derived suppressor cells 34 samples shares myeloid-derived, suppressor
- GSE246047 Inflammasome-resistant IPSC-derived myeloid-derived suppressor cells (iMDSCs) ameliorate xenogeneic GVHD 28 samples shares myeloid-derived, suppressor
- GSE287333 Myeloid-derived suppressor cells exhibit distinct characteristics in bone marrow and blood of individuals with diffuse large B-cell lymphoma 19 samples shares myeloid-derived, suppressor
- GSE326288 Preterm birth skews the developmental trajectory of myeloid-derived suppressor cells in the first 48 hours of life: single-cell transcriptomics and inferred intercellular communication 19 samples shares myeloid-derived, suppressor
- GSE183854 Expression data from monocytes and monocytic myeloid-derived suppressor cells from HNSCC patients and healthy donors [RNA-seq] 17 samples shares myeloid-derived, suppressor
- GSE299340 Single-cell RNA sequencing reveals B cell-related immunosuppressive landscape and a potential suppressor in hepatocellular carcinoma 10 samples shares immunosuppressive, suppressor
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.