title: High Density or Urban Sprawl: What Works Best in Biology?
abstract: With new approaches in imaging-from new tools or reagents to processing algorithms-come unique opportunities and challenges to our understanding of biological processes, structures, and dynamics. Although innovations in super-resolution imaging are affording novel perspectives into how molecules structurally associate and localize in response to, or in order to initiate, specific signaling events in the cell, questions arise as to how to interpret these observations in the context of biological function. Just as each neighborhood in a city has its own unique vibe, culture, and indeed density, recent work has shown that membrane receptor behavior and action is governed by their localization and association state. There is tremendous potential in developing strategies for tracking how the populations of these molecular neighborhoods change dynamically.
authors.affiliation: Institute of Biomaterials and Biomedical Engineering, University of Toronto , Toronto M5S 3G9, Canada.
authors.forename: John
authors.initials: J
authors.lastname: Oreopoulos
authors.affiliation: Department of Molecular Genetics, University of Toronto , Toronto M5S 1A8, Canada.
authors.forename: Scott D
authors.initials: SD
authors.lastname: Gray-Owen
authors.affiliation: Institute of Biomaterials and Biomedical Engineering, University of Toronto , Toronto M5S 3G9, Canada.
authors.forename: Christopher M
authors.identifier: 0000-0003-4507-556X
authors.initials: CM
authors.lastname: Yip
mesh_terms: D000465:Algorithms; D001695:Biology; D006367:HeLa Cells; D006801:Humans; D015394:Molecular Structure; D061848:Optical Imaging