OBSTRUCTED DIFFUSION AND VIRAL ADHESIVE INTERACTIONS IN
PHASE SEPARATED LIPID BILAYERS
Tim Ratto (Ph.D. Biophysics U C Davis 2002)
Josetted Ricker (Ph.D. Biophysics U C Davis 2002)
Wan-chen Lin (graduate student, Biophysics Graduate Group)
Craig Blanchette (graduate student, Biophysics Graduate
Group)
Natura Richardson (CPIMA SURE Program and Sacramento City
College / U C Santa Cruz)
Recent Project Progress:
We have constructed a well-characterized model
membrane system to better understand how nanometer-scale obstacles in
cell membranes obstruct diffusion and for use in controlling the
valency, mobility, and spacing of mobile or immobile ligands at the
nanometer scale. For these studies, we utilize supported bilayers
composed of mixtures of 1,2-dilauroylphosphotidylcholine (DLPC) and 1,2
distearoylphosphotidylcholine (DSPC) or galactosyl ceramide (Gal-Cer),
a saccharide lipid that is the major
ligand for HIV virus trafficking in the sexual organs and mucosal
system.
Because these lipids are immiscible and phase separate at room
temperature, a novel quenching technique allowed us to construct fluid
DLPC bilayers containing
small (~50 nm) disk-shaped gel-phase domains of DSPC or GalCer. Our
experimental
setup enabled us to analyze samples with atomic force microscopy and
exactly
characterize the size, shape, and number of gel-phase domains before
measuring
the obstacle-dependent diffusion coefficient (by fluorescence recovery
after
photobleaching) or binding of HIV gp120 (by total internal reflection
fluorescence).
Our diffusion data is used to validate and determine parameters in
theories
developed to explain diffusion coefficient measurements in cellular
membranes.
Lateral obstructed diffusion was found to be dependent on obstacle area
fraction,
size, and geometry. We find that at solid-phase area fraction between
~35%
and 70% (the percolation threshold), diffusion is anomalous at short
times
and becomes normal at longer times as predicted by theory and Monte
Carlo
simulations. We have been able to control size and mobility in
the
GalCer domains and will discuss the binding of HIV gp120 to these
domains.
Project Publications:
“Obstructed Diffusion in Phase-Separated Supported Lipid Bilayers,
A Combined AFM and FRAP Approach”, Biophysical Journal, Ratto, T. V.
and
Longo, M. L., 2002, 83: 3380-3392.
“Anomolous Subdiffusion in Heterogeneous Lipid Bilayers”, Ratto, T.
V. and Longo, M. L., Invited Research Article to Special Regular
Issue of Langmuir on Biomolecular Interface, 2003, 19:1788 – 1793.
“Trehalose Maintains Phase Separation in an Air-Dried Binary Lipid
Mixture”
Biophysical Journal, Ricker, J., Tsvetkova, N., Wolkers, W., Leidy, C.,
Longo,
M., and Crowe, J.H., 2003, 84: 3045-3051.
Description of Figures Below:
We developed a method to corral mobile lipids in bilayers
simply by using phase separation of lipid mixtures. We used a
mixture of two lipids that are immiscible at room temperature.
One lipid (DLPC) has a phase transition below rt and the other lipid
(DSPC) has
a phase transition above rt. A droplet of the 70 C vesicle
solution was added to a freshly cleaved rt mica disk resulting in
vesicle fusion to the mica and temperature quenching (Fig 1). This
quenching process
results in the formation of small lipid domains. At
low area fraction of DSPC, isolated DSPC disk shaped domains are
present
as seen by AFM (Fig. 2 – left image). At an area fraction of ~55%
the domains overlap and a change in geometry to extended disks is
seen.
At higher area fractions (~70%) the percolation threshold (Fig. 8 -
center
image) is reached in agreement with the percolation
threshold
for extended disks and confined mobile lipid regions are formed (Fig.
2 – right image) above 70%. Fluorescence recovery after
photobleaching (Fig. 3) is used to characterize the diffusional
behavior of this system. The long-range diffusion coefficient
decreases to zero (Fig. 4) at the percolation threshold of 70%
confirming confinement of fluid bilayers. The diffusional
behavior is seen to become more time-dependent (anomolous diffusion) as
the area fraction increases as predicted by Saxton (Fig.
5).