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Mapping Endothelial-Macrophage Interactions in Diabetic Vasculature: Role of TREM2 in Vascular Inflammation and Ischemic Respons

GSE317257 Homo sapiens (human) RNA-seq (gene expression) 35 samples Submitted 2026/03/19 Platform GPL20795Platform GPL16791Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 35 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
35 samples: 13 conditions, mostly in duplicateGroups 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
Diabetes-induced TREM2-endothelial cell signaling impairs ischemic vascular repairScience translational medicine · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Diabetes-induced TREM2-endothelial cell signaling impairs ischemic vascular repair
Malhi NK, Luo Y, Chen M et al. · Science translational medicine 2026 · PMID 42018669 · doi:10.1126/scitranslmed.adu3761
This dataset
Open GSE317257 in finder → Find more human datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE317257_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1406544 and SRA study SRP575493. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42018669) ↗
Study design
13 conditions, mostly in duplicate
Diabetic mesenteric artery 6 section ×4 Non-Diabetic mesenteric artery intima ×4 Non-Diabetic mesenteric artery 6 section ×3 Diabetic mesenteric artery intima 4 ×3 Scr ×3 TREM2-KD ×3 Non-Diabetic mesenteric artery 7 section ×2 Diabetic mesenteric artery 7 section ×2 +6 more

Supports a between-group comparison across 34 samples.

How we read this: 13 replicated groups read from 35 sample titles; they account for 34 of them. 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.

Samples in this study
Datasets on a similar topic

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