Immunofluorescence and object-based colocalization analysis
Leonardo A Parra-Rivas
Abstract
Immunofluorescence and object-based colocalization analysis
Steps
Immunofluorescence
For immunostaining, DIV17-21 neurons were fixed in 100% ice-cold methanol solution
for 15 min at room temperature, followed by extraction in 0.1 % Triton X-100
for 10 min, blocked in 10% BSA for 1 h at room temperature, and incubated
overnight at 4°C
with primary antibodies. We found that the methanol fixation was better than
paraformaldehyde fixation for pSer129 α-syn staining.
After washing with 1x PBS, neurons were blocked again for 30 min at room temperature and incubated with secondary antibodies (Alexa Fluor antibodies from Invitrogen
(RRID:AB_2633275, RRID:AB_2762824,RRID:AB_2633282) (1:500)
for 1 h at room temperature.
Images were acquired at 40X magnification. Z-stack
images were obtained as previously described , and all images were acquired and
processed using the MetaMorph
Microscopy Automation and Image Analysis Software (RRID:SCR_00236 https://www.moleculardevices.com/products/cellular-imaging-systems/acquisition-and-analysis-software/metamorph-microscopy#gref) https://www.moleculardevices.com/products/cellular-imaging-systems/acquisition-and-analysis-software/metamorph-microscopy#grefref).
Object-based colocalization analysis
For α-syn Ser129 and VAMP2 colocalization analysis in cultured neurons, 5-6 regions
of interest (ROIs) of 200x200 pixels were placed on each image. A total of 26
ROIs were used for this analysis.
Object-based colocalization analysis was done
using MATLAB (RRID:SCR_001622)( http://www.mathworks.com/products/matlab/). First, automatic puncta detection was done using local maxima. Next, detected puncta are said to have co-localized if the distance between their centers is less than the maximum radius of the two
particles.