GEO series
Obesity-instructed TREM2-high macrophages identified by comparative analysis of diabetic mouse and human kidney at single-cell resolution [scRNA-seq: Baseline_mouse]
GSE205593
Mus musculus
Expression profiling by high throughput sequencing
24 samples
2025/03/31
GPL17021
Summary
The cross-species molecular heterogeneity from mice to patients poses grand challenges for translational research endeavors. A high-fat diet (HFD) model and a genetic model (BTBR ob/ob) at different stand points were used to generate cell atlases of diabetic and obese mise. We identified a previously unrecognized, expanding Trem2-High macrophage population in kidneys of HFD mice that modeled human TREM2-high macrophages in obese patients. Taken together, our cross-species comparison highlights shared immune and metabolic cell-state changes.
Download
NCBI GEO page ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
mouse RNA-seq datasets →
Similar datasets
- GSE292862 Modelling mouse embryogenesis from chemically induced totipotent stem cells 22 samples
- GSE185862 A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation 95 samples
- GSE343043 Disease context dictates the cellular targets of IL-17 in inflammatory skin disease 29 samples
- GSE334940 Tissue nanotransfection-mediated induction of neurogenic programs promotes myoprotective responses in denervated skeletal muscle 15 samples
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 samples
- GSE293315 MRPGRX2 Antagonist Treatment Prevents Inflammation and Disease in a Mouse Model of Atopic Dermatitis Dataset 2 35 samples
- GSE321707 Characterization of TLR signaling in Ticam2-/- macrophages 30 samples
- GSE341948 Multi-tissue transcriptomic landscape reveals synergistic mechanisms of exercise and GLP-1 agonist in ameliorating diabetic phenotypes in db/db mice 12 samples
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.