Harnessing lipid signaling pathways to target specialized pro-angiogenic neutrophil subsets for regenerative immunotherapy.
T C TurnerM C P SokLauren A HymelF S PittmanW Y YorkQuoc D MacSofiya VyshnyaHong Seo LimGabriel A KwongPeng QiuEdward A BotchweyPublished in: Science advances (2020)
To gain insights into neutrophil heterogeneity dynamics in the context of sterile inflammation and wound healing, we performed a pseudotime analysis of single-cell flow cytometry data using the spanning-tree progression analysis of density-normalized events algorithm. This enables us to view neutrophil transitional subsets along a pseudotime trajectory and identify distinct VEGFR1, VEGFR2, and CXCR4 high-expressing pro-angiogenic neutrophils. While the proresolving lipid mediator aspirin-triggered resolvin D1 (AT-RvD1) has a known ability to limit neutrophil infiltration, our analysis uncovers a mode of action in which AT-RvD1 leads to inflammation resolution through the selective reprogramming toward a therapeutic neutrophil subset. This accumulation leads to enhanced vascular remodeling in the skinfold window chamber and a proregenerative shift in macrophage and dendritic cell phenotype, resulting in improved wound closure after skin transplantation. As the targeting of functional immune subsets becomes the key to regenerative immunotherapies, single-cell pseudotime analysis tools will be vital in this field.
Keyphrases
- single cell
- wound healing
- flow cytometry
- stem cells
- oxidative stress
- rna seq
- dendritic cells
- mesenchymal stem cells
- cell therapy
- peripheral blood
- high throughput
- machine learning
- big data
- signaling pathway
- adipose tissue
- vascular endothelial growth factor
- deep learning
- cardiovascular disease
- immune response
- cardiovascular events
- drug delivery
- regulatory t cells
- coronary artery disease
- single molecule
- antiplatelet therapy
- bone marrow
- soft tissue
- percutaneous coronary intervention
- surgical site infection
- neural network