Nature CommunicationsPhysiologyPeer-reviewed journal article
MACanalyzeR: scRNA-seq Analysis Tool Reveals PPARγHI Lipid-Associated Macrophages Facilitate Thermogenic Expansion in BAT
Andrea Ninni, Fabio Zaccaria, Luca VerteramoiD, Francesca Sciarretta, Loreana Sanches SilveiraiD, José Cesar Rosa NetoiD, Simone CarottiiD, Lorenzo NeviiD, Paolo GrumatiiD, Satish PateliD, Giulia Carrera, Alessandro Sgambato, Donatella LucchettiiD, Filomena ColellaiD, Ilenia SeveriiD, Martina SenzacquaiD, Antonio GiordanoiD, Sergio BernardiniiD, Claudia Di BiagioiD, Flavia TortoliciiD, Giuseppe RizzoiD, Clément CochainiD, Valerio ChiurchiùiD, Stoyan IvanoviD, Beiyan ZhouiD, , Daniele Lettieri‐BarbatoiD
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Abstract
Macrophages in brown adipose tissue (BAT) play a complex role in regulating its activity. However, the role of macrophages in regulating BAT activation/deactivation has not yet been comprehensively characterized. To elucidate this, we developed MACanalyzeR, a scRNAseq-based tool specifically designed to explore the macrophage features at molecular and metabolic level. MACanalyzeR was applied in scRNA-seq datasets obtained from BAT with thermogenic loss (db/db mice) and activation (High Fat Diet, HFD). Our computational approach revealed that macrophages accumulating in BAT upon these conditions resemble lipid-associated macrophages (LAMs) with foaming-like features. BAT LAMs also show a significant enrichment of genes associated with mitochondria and lysosomes. Interestingly, LAMs identified in BAT from HFD mice positively correlate with thermogenic genes and exhibit an enrichment in PPAR{gamma} signaling pathway, with an activated mitochondrial metabolism. Cell dynamic strategy, revealed that LAM with high Pparg expression levels (PpargHIGH) progressively accumulate during skeletal muscle regeneration, suggesting a potential role for this LAM subcluster in maintaining tissue homeostasis. Our findings suggest PpargHIGH LAMs as a subclass of macrophages potentially contributing in preserving tissue homeostasis associated with high energy demand conditions such as thermogenic and regenerative stimuli.
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
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