Research
Introduction
All cells respond to changes in their environment, and information processing is accomplished by the
underlying signalling networks. A major challenge in contemporary biophysics is to
quantitatively understand the algorithms of these signalling networks.
Using microoganism motile behavior as an example£¬we combine a multitude of optical methods(TIRF, FRET,
Laser darkfield, Super-resolution techniques, Optical tweezer), microfludics, and molecular biology techniques£¬with
statistical mechanics modelling, to understand microoganism motile behavior from the level of molecular motors to the level of signalling networks.
Projects
Bacterial motile behavior and the flagellar rotary motor
Bacterial chemotaxis
The c-di-GMP network
Sperm motility and temperature sensing
|