Biomedical assays, designed to characterize perturbed cellular signaling, generally provide a population snapshot of the alterations in gene/protein expression. In recent years, single cell transcriptomics strategies have been revealing the important cell-to-cell variability in gene expression profiles associated with specific signaling pathways. In order to bridge transcriptomics heterogeneities to functional diversity, single cell phenotypic characterization assays are still largely lacking.
We developed two categories of assays based on the knowledge we gained on cell-cell contact signaling:
In collaboration Jay Grove (Berkeley), Ram Das Gupta and Ruby Huang (Singapore) we developed a screening assay that probes the biomechanical response of EphA2 receptors (Andrea Ravasio et al, submitted);
We also developed different category of to screen and sort cells based on their migration properties in 2D and 3D under various stimuli. These microfluidic free assays extend the traditional wound healing assay by adding easy (million cell scale) sorting capability based on migration distance.
Both types of assays are used to characterize intra tumor heterogeneity in a functional genomic approach.
EPH Clustering Assay