← BioTransfer GEO Dataset Finder
GEO series

P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [NAFLD_time_course]

GSE319035 Mus musculus Expression profiling by high throughput sequencing 77 samples Submitted 2026/02/16 Platform GPL34290
Summary
Cellular senescence drives chronic sterile inflammation during aging via the senescence-associated secretory phenotype (SASP); however, the cell types responsible for this pathology remain poorly defined. Here, we identify p21⁺Trem2⁺ senescent macrophages as a major source of inflammaging. Using primary mouse and human macrophages, we developed a model of DNA damage and cholesterol-induced senescence and applied multi-omic profiling to fully characterize senescent macrophages. We found that senescent macrophages exhibit a distinctive p21-TREM2 expression profile and SASP, driven in part by type-I interferon signaling via secreted mitochondrial DNA. We also found that senescent macrophage accumulation occurs in aged and MASLD mouse livers and is enriched in human cirrhotic liver tissue. Finally, senolytic treatment targeting senescent macrophages reduced liver inflammation and steatosis in both aged and MASLD mice. Together, these findings establish macrophage senescence as a central driver of chronic inflammation in aging and metabolic liver disease, highlighting a promising, tractable therapeutic target.
Published in
p21(+)TREM2(+) senescent macrophages fuel inflammaging and metabolic dysfunction-associated steatotic liver disease
Salladay-Perez IA, Avila I, Estrada L et al. · Nature aging 2026 · PMID 41991686 · doi:10.1038/s43587-026-01101-6
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE319035_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 77 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1422001 and SRA study SRP676109. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

Read from the first 40 of 77 sample titles: 40 distinct titles with little repetition. Check it against the sample list below before relying on it.

Samples in this study

+ 37 more — browse all 77 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.