Emergent tissue architecture is orchestrated by the mechano-chemical feedback interactions among the cellular and extracellular components, across scales. While the biochemical principles of tissue organization have been well studied, the mechanical and biophysical aspects remain less well understood. In a homeostatic tissue, the constituent cells both deposit and maintain the extracellular matrix (ECM), thereby determining tissue mechanics, and are responsive to the mechanical properties of the ECM. An imbalance in these processes can lead to pathologies such as fibrosis and cancer. Hence, remodeling the spatial and biochemical interactions of cells and the ECM can decide the tissue fate in between health and disease. Moreover, physiological aging is associated with changes in tissue structure and mechanics, which may relate to the development of pathologies. However, a holistic view on the in vivo principles governing tissue fate as a function of the complex feedback loops among cell types, cell states, ECM, and tissue mechanics is yet to be defined.
I hypothesize that mechanical heterogeneity within the homeostatic tissue leads to the formation of stiffness-dependent cell states, which prime the cells in stiff regions to disease. Hence, the aims are – 1) to characterize the in vivo spatial arrangement of various cell types and their respective transcriptional states as a function of the surrounding ECM and tissue mechanics, and 2) to identify specific cell-matrix feedback loops that define the tissue fate.
Using the homeostatic and fibrotic murine skin as models of health and disease, I will spatio-temporally map their mechano-chemical properties by combining mechanical mapping (nano-indentation) with high-resolution spatial matrisomics (imaging mass cytometry) and transcriptomics (Stereo-seq). With these data, I will uncover the spatio-temporal correlations among tissue mechanics, topology, and biochemical properties, including cellular composition, arrangement, and their transcriptomes, as well as the ECM alignment and stiffness. Next, to determine the causality of these correlations, I will manipulate the cell-matrix loops in silico using agent-based modelling and in vitro using co-cultures with stiff vs. soft matrix-generating fibroblasts. I will then systematically test these theories by using 4D live imaging coupled with nano-indentation in tissue explants. The shortlisted feedback loops will be manipulated in vivo in the homeostatic tissue using mosaic expression systems and gene-level perturbations (Perturb-seq) and assayed for the tissue fate. Finally, I will test whether these cell-matrix loops are conserved in human pathologies, including skin cancer/fibrosis.
Altogether, this project will provide a comprehensive understanding of disease emergence and how local mechano-chemical feedback loops orchestrate the macroscopic tissue fate in space and time, and opens new avenues for generating preventive therapeutics.