Effect of MS-275 and CXD101 on gene expression of M-MDSCs and PMN-MDSCs [RNA-Seq]
RNA-seq (gene expression) · mouse · 12 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
- Mus musculus (mouse)
- Samples
- 12 samples: 12 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
- HDAC1-3 inhibition triggers NEDD4-mediated CCR2 downregulation and attenuates immunosuppression in myeloid-derived suppressor cellsCancer immunology, immunotherapy : CII · 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 GSE232267_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 PRJNA971509 and SRA study SRP437047. 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 12 sample titles: 12 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.
- GSM7324786 Vehicle_M1, RNAseq
- GSM7324787 Vehicle_M2, RNAseq
- GSM7324788 MS275_M1, RNAseq
- GSM7324789 MS275_M2, RNAseq
- GSM7324790 CXD101_M1, RNAseq
- GSM7324791 CXD101_M2, RNAseq
- GSM7324792 Vehicle_P1, RNAseq
- GSM7324793 Vehicle_P2, RNAseq
- GSM7324794 MS275_P1, RNAseq
- GSM7324795 MS275_P2, RNAseq
- GSM7324796 CXD101_P1, RNAseq
- GSM7324797 CXD101_P2, RNAseq
- GSE232265 Effect of MS-275 and CXD101 on open chromatin regions of M-MDSCs [ATAC-seq] 6 samples shares ms-275, cxd101, m-mdscs
- GSE232268 Effect of MS-275 and CXD101 on MDSCs 18 samples shares ms-275, cxd101
- GSE287178 Spermidine restricts neonatal inflammation via metabolic shaping of PMN-MDSCs [RNA-seq] 4 samples shares pmn-mdscs, rna-seq
- GSE311900 Effect of Nakaseomyces glabratus on BM-MDSCs 6 samples shares m-mdscs
- GSE294895 RNA sequencing of BM-MDSCs exposed to high potassium 6 samples shares m-mdscs
- GSE288405 Metabolic reprogramming driven by impaired trophoblasts and decidual XCR1+PMN-MDSCs crosstalk controls adverse outcomes in advanced maternal age [CUT&Tag] 8 samples shares pmn-mdscs
- GSE287179 Spermidine restricts neonatal inflammation via metabolic shaping of PMN-MDSCs [CUT&Tag] 4 samples shares pmn-mdscs
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.