Project description:We devised a systems biology approach to investigate the early host response to high-dose rectal SIV transmission, by transcriptomic comparative analysis of a natural reservoir host SIV model species, African green monkeys (AGMs – Chlorocebus sabaeus, N=28) and a pathogenic model, rhesus macaques (RMs - Macaca mulatta, N=24).on rectal tissues for both AGMs and RMs.
Project description:We devised a systems biology approach to investigate the early host response to high-dose rectal SIV transmission, by transcriptomic comparative analysis of a natural reservoir host SIV model species, African green monkeys (AGMs – Chlorocebus sabaeus, N=28) and a pathogenic model, rhesus macaques (RMs - Macaca mulatta, N=24).on rectal tissues for both AGMs and RMs.
Project description:Impaired skin wound healing is a significant global health issue, especially among the elderly. Wound healing is a well-orchestrated process involving the sequential phases of inflammation, proliferation, and tissue remodeling. Although wound healing is a highly dynamic and energy-requiring process, the role of metabolism remains largely unexplored. By combining transcriptomics and metabolomics of human skin biopsy samples, we mapped the core bioenergetic and metabolic changes in normal acute as well as chronic wounds in elderly subjects. We found upregulation of glycolysis, the tricarboxylic acid cycle, glutaminolysis, and β-oxidation in the later stages of acute wound healing and in chronic wounds. To ascertain the role of these metabolic pathways on wound healing, we targeted each pathway in a wound healing assay as well as in a human skin explant model using metabolic inhibitors and stimulants. Enhancement or inhibition of glycolysis and, to a lesser extent, glutaminolysis had a far greater impact on wound healing than similar manipulations of oxidative phosphorylation and fatty acid β-oxidation. These findings increase the understanding of wound metabolism and identify glycolysis and glutaminolysis as potential targets for therapeutic intervention.
Project description:Proteases control complex tissue responses by modulating inflammation, cell proliferation and migration, and matrix remodeling. All these processes are orchestrated in cutaneous wound healing to restore the skin’s barrier function upon injury. Altered protease activity has been implicated in the pathogenesis of healing impairments, and proteases are important targets in diagnosis and therapy of this pathology. Global assessment of proteolysis at critical turning points after injury will define crucial events in acute healing that might be disturbed in healing disorders. As optimal biospecimens, wound exudates contain an ideal proteome to detect extracellular proteolytic events, are non-invasively accessible, and can be collected at multiple time points along the healing process from the same wound in the clinics. In this study, we applied multiplexed Terminal Amine Isotopic Labeling of Substrates (TAILS) to globally assess proteolysis in early phases of cutaneous wound healing. By quantitative analysis of proteins and protein N termini in wound fluids from a clinically relevant pig wound model, we identified more than 650 proteins and discerned major healing phases through distinctive abundance clustering of markers of inflammation, granulation tissue formation, and re-epithelialization. TAILS revealed a high degree of proteolysis at all time points after injury by detecting almost 1300 N-terminal peptides in ~450 proteins, most of which could not be assigned to known mature protein N termini. Quantitative positional proteomics mapped pivotal interdependent processing events in the blood coagulation cascade, detailed activating thrombin cleavages in vivo, and temporally discerned clotting and fibrinolysis during the healing process. Similarly, we found virtually all major cleavages in complement activation and inactivation and demonstrated time-dependent changes in the proteolytic potential of the wound milieu by detecting processing of complement C3 at distinct time points after wounding and by different proteases.
Project description:The process of wound healing in humans is poorly understood. To identify spatiotemporal gene expression patterns during human wound healing, we performed single cell and spatial transcriptomics profiling of human in vivo wound samples.