RNA‑seq of TREM1 pathway activation in human monocytes and neutrophils
RNA-seq (gene expression) · human · 32 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
- 32 samples: 32 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
- TREM1 signaling amplifies neutrophil-mediated inflammation in inflammatory bowel diseaseNature communications · 2026
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 GSE308014_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 PRJNA1328589 and SRA study SRP620361. 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 32 sample titles: 32 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.
- GSM9235664 D1_Neutrophils_Medium
- GSM9235665 D1_Neutrophils_Control Ab
- GSM9235666 D1_Neutrophils_Agonist aTREM1
- GSM9235667 D1_Neutrophils_PGN_PGLYRP1 medium
- GSM9235668 D1_Monocytes_Medium
- GSM9235669 D1_Monocytes_Control Ab
- GSM9235670 D1_Monocytes_Agonist aTREM1
- GSM9235671 D1_Monocytes_PGN_PGLYRP1 medium
- GSM9235672 D2_Neutrophils_Medium
- GSM9235673 D2_Neutrophils_Control Ab
- GSM9235674 D2_Neutrophils_Agonist aTREM1
- GSM9235675 D2_Neutrophils_PGN_PGLYRP1 medium
- GSM9235676 D2_Monocytes_Medium
- GSM9235677 D2_Monocytes_Control Ab
- GSM9235678 D2_Monocytes_Agonist aTREM1
- GSM9235679 D2_Monocytes_PGN_PGLYRP1 medium
- GSM9235680 D3_Neutrophils_Medium
- GSM9235681 D3_Neutrophils_Control Ab
- GSM9235682 D3_Neutrophils_Agonist aTREM1
- GSM9235683 D3_Neutrophils_PGN_PGLYRP1 medium
- GSM9235684 D3_Monocytes_Medium
- GSM9235685 D3_Monocytes_Control Ab
- GSM9235686 D3_Monocytes_Agonist aTREM1
- GSM9235687 D3_Monocytes_PGN_PGLYRP1 medium
- GSM9235688 D4_Neutrophils_Medium
- GSM9235689 D4_Neutrophils_Control Ab
- GSM9235690 D4_Neutrophils_Agonist aTREM1
- GSM9235691 D4_Neutrophils_PGN_PGLYRP1 medium
- GSM9235692 D4_Monocytes_Medium
- GSM9235693 D4_Monocytes_Control Ab
- GSM9235694 D4_Monocytes_Agonist aTREM1
- GSM9235695 D4_Monocytes_PGN_PGLYRP1 medium
- GSE297994 Native long-read RNA sequencing of human monocytes reveals activation-induced alternative splicing toward functional isoforms 22 samples shares activation, monocytes
- GSE252020 Decoding CD4+ T cell transcriptome in giant cell arteritis: novel pathways and altered cross-talk with monocytes [RNA-seq] 98 samples shares monocytes
- GSE205672 Transcriptomes of human PBMCs and monocytes in sepsis patients 460 samples shares monocytes
- GSE273882 Arginine Promotes The Activation of Human Lung Fibroblasts Independent of Its Metabolism 52 samples shares activation
- GSE292338 RNAseq analysis of human neutrophils from healthy controls, people with frailty and people with rheumatoid arthritis 39 samples shares neutrophils
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares activation
- GSE318645 Dual Immune Checkpoint Blockade Induces Distinct Systemic and Intratumoral Immune Activation in Recurrent Glioblastoma 226 samples shares activation
- GSE254732 Inhibition of PCSK9 with evolocumab modulates lipoproteins and monocyte activation in high-risk ASCVD subjects 215 samples shares activation
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.