Electron microscopy (EM) and quantification
Leonardo A Parra-Rivas
Abstract
Electron microscopy (EM) and quantification
Steps
Electron microscopy (EM)
Hippocampal neurons were plated at a density of
60,000 cells/2m2. DIV-3 neurons were infected with lentiviruses
carrying α-syn tagged at the C-terminus to mScarlet, or mScarlet alone
(multiplicity of infection or MOI=2.5). The transduced neurons were cultured to
maturity (DIV17-DIV21) before imaging. The ~100 % infection efficiency of the
mScarlet-tagged constructs was confirmed before using the coverslip for EM
experiments.
EM embedding protocol for monolayer cultured cells was performed
on ice. The coverslips were fixed in 2 % glutaraldehyde and in 0.1 M sodium
cacodylate (SC buffer) buffer for at least 60min at 4 °C, washed 3 min with 0.1
M SC buffer (5 times), and postfixed in 1% osmium tetroxide (OsO4) diluted in
0.1 M SC buffer for 30 min to 1hr.
The coverslips were then washed for 3 min (5
times) with 0.1 M SC buffer, followed by a water rinse, sequential ethanol
dehydration (20%, 50%, 70%, 90%, 2x100%) 1min each, and subsequent incubation
with dry acetone for 1 min at room temperature (2 times).
The samples were then incubated with a Durcupan:Acetone solution (50:50%) for 1hr in rotation,
followed by incubation with 100% Durcupan for 1 hr (2 times). The cells were
then embedded using foil plates along with wood sticks in the embedding oven
(overnight incubation).
60 nm ultrathin sections were cut with a diamond knife
and mounted on 300 mesh grids. Grids were post-stained with 2% of uranyl
acetate for 5 min and lead for 1 min. JEOL 1400 Electron Microscopy and Gatan
digital Camera were used to obtain images.
quantification
For quantification of inter-vesicular (IV) distances between vesicles, we
considered all the vesicles in the synapse encompassing 1µmx1µm. To mark each
vesicle, a line was drawn across the center of the vesicle, recording its
diameter and its position.
These parameters were then fed into our algorithm on MATLAB (RRID:SCR_001622)( http://www.mathworks.com/products/matlab/), which gave the output of IV distances
for a particular image. The IV distance for all images per condition was pooled
together. This algorithm is available upon request.