Architecture of the neutrophil compartment in mice
RNA-seq (gene expression) · human · 119 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
- 119 samples: 91 distinct titles, 17 of them repeatedGroups 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
- Architecture of the neutrophil compartmentNature · 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 GSE266680_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 PRJNA1108252 and SRA study SRP589436. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 8 samples read as cases, 23 as controls.
How we read this: Read from 119 sample titles: 91 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.
- GSM8248752 Cxcr4
- GSM8248753 diagnostic1
- GSM8248754 diagnostic2
- GSM8248755 interferon
- GSM8248756 inVitro
- GSM8248757 jb1
- GSM8248758 jb2
- GSM8248759 LPS
- GSM8248760 non_steady1
- GSM8248761 non_steady2
- GSM8248762 pdac
- GSM8248763 tgfb_bhe
- GSM8248764 timestamp
- GSM8248765 YO1
- GSM8248766 YO2
- GSM8253700 JB4, lung neutrophils, Mrp8 CRE JunB f/f
- GSM8253701 JB5, lung neutrophils, Mrp8 CRE JunB f/f
- GSM8253702 WT4, lung neutrophils, Mrp8 WT JunB f/f
- GSM8253703 WT5, lung neutrophils, Mrp8 WT JunB f/f
- GSM8253704 WT7, lung neutrophils, Mrp8 WT JunB f/f
- GSM8253705 BM1, Bone Marrow neutrophils, Mrp8 WT JunB f/f
- GSM8253706 BM2, Bone Marrow neutrophils, Mrp8 WT JunB f/f
- GSM8253707 DNX1893, Blood neutrophils, Mrp8 WT JunB f/f
- GSM8253708 DNX2076, Blood neutrophils, Mrp8 WT JunB f/f
- GSM8253709 DNX2085, Blood neutrophils, Mrp8 WT JunB f/f
- GSM8253710 BM3, Bone Marrow neutrophils, Mrp8 WT JunB f/f
- GSM8253711 DNX1895, Blood neutrophils, Mrp8 WT JunB f/f
- GSM8253712 JB3, lung neutrophils, Mrp8 CRE JunB f/f
- GSM8256995 atac
- GSM8256996 gex
- GSM8256997 cite_seq
- GSM8260100 Flu
- GSM8260101 Lewis Lung Cancer, 1
- GSM8260102 Lewis Lung Cancer, 2
- GSM8260103 Healthy control
- GSM9021740 Human Lungs
- GSM9076691 Neutrophils heterogeneity in BALB/c and C57BL6 rhapsody transcriptome
- GSM9076692 Neutrophils heterogeneity in BALB/c and C57BL6 rhapsody sample tags
- GSM9076693 Neutrophils in clonal hemaptopoiesis rhapsody transcriptome
- GSM9076694 Neutrophils in clonal hemaptopoiesis rhapsody sample tags
+ 79 more — browse all 119 samples with per-sample file links →
- GSE243750 SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE 288 samples shares neutrophil
- GSE241338 Genome-wide interference of chromatin architecture and Mediator in transcriptional bursting and gene network regulation 250 samples shares architecture
- GSE207924 Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the transcript life cycle [RNA-seq] 160 samples shares compartment
- GSE205249 H3K27me3 spreading organizes canonical PRC1 chromatin architecture to regulate developmental programs 156 samples shares architecture
- GSE326190 Alterations in chromatin architecture promote totipotent-like features in a DUX-dependent manner. 47 samples shares architecture
- GSE205246 H3K27me3 spreading organizes canonical PRC1 chromatin architecture to regulate developmental programs [RNA-seq] 25 samples shares architecture
- GSE80820 HiChIP: Efficient and sensitive analysis of protein-directed genome architecture 18 samples shares architecture
- GSE186344 Cellular Architecture of Human Brain Metastases 18 samples shares architecture
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.