Cell Biophysics–Physiological Contexts, from Organism to Cell, In Vivo to In Silico Models: One Collaboratory’s Perspective Journal Article uri icon

Overview

abstract

  • Here we present a retrospective, integrative review of the approaches and discoveries of our “collaboratory”, a meta-laboratory comprising cross-disciplinary collaborations across laboratories at fourteen different universities and clinics in seven different countries with shared lead investigators. By tying together insights from four decades of research and discovery, applied across cell types, as well as different tissues, organ systems, and organisms, we have aimed to elucidate the interplay between organisms’ movement and the physiology of their tissues, organs, and organ systems’ resident cells. We highlight the potential of increasing imaging and computing power, as well as machine learning/artificial intelligence approaches, to delineate the Laws of Biology. Codifying these laws will provide a foundation for the future, to promote not only the discovery of underpinning mechanisms but also the sustainability of our natural resources, from our brains to our bones, which serve as veritable “hard drives”, physically rendering a lifetime of cellular experiences and millennia of evolution.

publication date

  • January 14, 2026

Date in CU Experts

  • August 17, 2026 11:34 AM

Full Author List

  • Knothe Tate ML; McBride-Gagyi S; Anderson EJ; Ngo L

author count

  • 4

Other Profiles

Electronic International Standard Serial Number (EISSN)

  • 2673-4125

Additional Document Info

start page

  • 5

end page

  • 5

volume

  • 6

issue

  • 1