A Nosetta Stone to understand rhinoglyphics
Devany Du & Nandan Nerurkar’s dispatch article highlights the interest of our concept of ‘mechanical positional information’.
Welcome to the website of the Milinkovitch - Tzika lab.
In a nutshell, our highly multidisciplinary team of biologists, bioinformaticians, physicists, computer scientists, mathematicians and 3D artists investigates the developmental and evolutionary mechanisms generating Life’s complexity and diversity (or maybe should we say ‘Life’s Beauty’). We investigate multiple non-classical model species, mainly reptiles and ‘exotic’ mammals, that can inform us on yet unknown exciting biological and physical processes generating this complex and diverse living world.
Central to our reasoning is that a proper understanding of the complexity and diversity of organismal forms cannot be achieved without integrating the physical constrains acting on the developmental and Darwinian processes. Our research requires integrating data and methods from comparative genomics, molecular developmental genetics, as well as physical experiments, mathematical modelling and numerical simulations. More specifically, we investigate the interactions between physical (mechanics, reaction-diffusion) and biological (cell signalling, proliferation) mechanisms that generate and constrain the variety and complexity of skin appendages (scales, hairs, spines), skin colours (pigmentary and structural), and skin colour patterns in tetrapods (four-limbed vertebrates).
Use the navigation bar at the top of the page, to explore our research topics (what we do), our scientific approach and animal models (how we do it), our scientific motivation (why we do it), and our team (who does it).
Devany Du & Nandan Nerurkar’s dispatch article highlights the interest of our concept of ‘mechanical positional information’.
Mechanical positional information, guiding the development of the dog’s nose makes the cover of Current Biology
We Uncover the Secret to Mammals' Unique Rhinarial (Naked Nose) Patterns
Collagen Imaging Takes Top Prizes at '2024 Microscopy Today' Competition