Download For complex multicellular organisms to function, individual

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Protein design wikipedia , lookup

Protein domain wikipedia , lookup

Implicit solvation wikipedia , lookup

Homology modeling wikipedia , lookup

Protein folding wikipedia , lookup

Protein wikipedia , lookup

Intrinsically disordered proteins wikipedia , lookup

Protein structure prediction wikipedia , lookup

Bimolecular fluorescence complementation wikipedia , lookup

Protein mass spectrometry wikipedia , lookup

Proteomics wikipedia , lookup

Protein moonlighting wikipedia , lookup

Cyclol wikipedia , lookup

Protein purification wikipedia , lookup

Western blot wikipedia , lookup

Nuclear magnetic resonance spectroscopy of proteins wikipedia , lookup

List of types of proteins wikipedia , lookup

Protein–protein interaction wikipedia , lookup

Transcript
The ties that bind us together: the statistical mechanics of cell adhesion proteins
Michael Hinczewski, Case Western Reserve University
For complex multicellular organisms to function, individual cells need mechanisms to bind to each
other. In humans, cell-to-cell adhesion maintains the architecture of tissues, drives the response of the
immune system, and allows for wound healing. All of the contacts involved in these processes are made
through specialized molecules on the surface of cells known as adhesion proteins. These are particularly
interesting from the perspective of statistical physics, since protein bonds are never permanent, but
constantly rupture and reform in a stochastic manner. The distribution of bond lifetimes is intimately
related to the thermal fluctuations in the shape of the protein, and the magnitude of mechanical tension
under which the contact exists. Experiments in the last fifteen years have provided a wealth of data,
including careful measurements of single protein bonds breaking under force. However the data often
introduces as many questions as it answers, revealing strange, counterintuitive phenomena like "catch
bonding", where increasing tension strengthens a bond, prolonging its lifetime. My talk explores the
ways in which nonequilibrium statistical mechanics can help us model and predict adhesion protein
dynamics, exploiting simple, analytically solvable theories of diffusion on multidimensional energy
landscapes. The theory gives us a surprisingly detailed perspective on the molecular interactions that
underlie bonding, and highlights the critical role of randomness in biological functions.