@article {47643, title = {Quantifying spatial organization in point-localization superresolution images using pair correlation analysis.}, journal = {Nature protocols}, volume = {8}, year = {2013}, month = {2013 Feb}, pages = {345-54}, abstract = {

The distinctive distributions of proteins within subcellular compartments both at steady state and during signaling events have essential roles in cell function. Here we describe a method for delineating the complex arrangement of proteins within subcellular structures visualized using point-localization superresolution (PL-SR) imaging. The approach, called pair correlation photoactivated localization microscopy (PC-PALM), uses a pair-correlation algorithm to precisely identify single molecules in PL-SR imaging data sets, and it is used to decipher quantitative features of protein organization within subcellular compartments, including the existence of protein clusters and the size, density and number of proteins in these clusters. We provide a step-by-step protocol for PC-PALM, illustrating its analysis capability for four plasma membrane proteins tagged with photoactivatable GFP (PAGFP). The experimental steps for PC-PALM can be carried out in 3 d and the analysis can be done in \~{}6-8 h. Researchers need to have substantial experience in single-molecule imaging and statistical analysis to conduct the experiments and carry out this analysis.

}, keywords = {Algorithms, Green Fluorescent Proteins, Image Processing, Computer-Assisted, Intracellular Space, Membrane Proteins, Microscopy}, issn = {1750-2799}, doi = {10.1038/nprot.2013.005}, author = {Sengupta, Prabuddha and Jovanovic-Talisman, Tijana and Lippincott-Schwartz, Jennifer} } @article {47661, title = {Bayesian localization microscopy reveals nanoscale podosome dynamics.}, journal = {Nature methods}, volume = {9}, year = {2012}, month = {2012 Feb}, pages = {195-200}, abstract = {

We describe a localization microscopy analysis method that is able to extract results in live cells using standard fluorescent proteins and xenon arc lamp illumination. Our Bayesian analysis of the blinking and bleaching (3B analysis) method models the entire dataset simultaneously as being generated by a number of fluorophores that may or may not be emitting light at any given time. The resulting technique allows many overlapping fluorophores in each frame and unifies the analysis of the localization from blinking and bleaching events. By modeling the entire dataset, we were able to use each reappearance of a fluorophore to improve the localization accuracy. The high performance of this technique allowed us to reveal the nanoscale dynamics of podosome formation and dissociation throughout an entire cell with a resolution of 50 nm on a 4-s timescale.

}, keywords = {Bayes Theorem, Cell Line, Tumor, Humans, Nanotechnology}, issn = {1548-7105}, doi = {10.1038/nmeth.1812}, author = {Cox, Susan and Rosten, Edward and Monypenny, James and Jovanovic-Talisman, Tijana and Burnette, Dylan T and Lippincott-Schwartz, Jennifer and Jones, Gareth E and Heintzmann, Rainer} } @article {47667, title = {Probing protein heterogeneity in the plasma membrane using PALM and pair correlation analysis.}, journal = {Nature methods}, volume = {8}, year = {2011}, month = {2011 Nov}, pages = {969-75}, abstract = {

Photoactivated localization microscopy (PALM) is a powerful approach for investigating protein organization, yet tools for quantitative, spatial analysis of PALM datasets are largely missing. Combining pair-correlation analysis with PALM (PC-PALM), we provide a method to analyze complex patterns of protein organization across the plasma membrane without determination of absolute protein numbers. The approach uses an algorithm to distinguish a single protein with multiple appearances from clusters of proteins. This enables quantification of different parameters of spatial organization, including the presence of protein clusters, their size, density and abundance in the plasma membrane. Using this method, we demonstrate distinct nanoscale organization of plasma-membrane proteins with different membrane anchoring and lipid partitioning characteristics in COS-7 cells, and show dramatic changes in glycosylphosphatidylinositol (GPI)-anchored protein arrangement under varying perturbations. PC-PALM is thus an effective tool with broad applicability for analysis of protein heterogeneity and function, adaptable to other single-molecule strategies.

}, keywords = {Algorithms, Membrane Proteins}, issn = {1548-7105}, doi = {10.1038/nmeth.1704}, author = {Sengupta, Prabuddha and Jovanovic-Talisman, Tijana and Skoko, Dunja and Renz, Malte and Veatch, Sarah L and Lippincott-Schwartz, Jennifer} }