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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Sengupta, Prabuddha Jovanovic-Talisman, Tijana Skoko, Dunja Renz, Malte Veatch, Sarah L. Lippincott-Schwartz, Jennifer |
| Description | Country affiliation: United States Author Affiliation: Sengupta P ( The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.) |
| 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. |
| File Format | HTM / HTML |
| ISSN | 15487091 |
| e-ISSN | 15487105 |
| DOI | 10.1038/nmeth.1704 |
| Journal | Nature Methods |
| Issue Number | 11 |
| Volume Number | 8 |
| Language | English |
| Publisher | Nature Publishing Group |
| Publisher Date | 2011-09-18 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Discipline Clinical Laboratory Techniques Membrane Proteins Metabolism Algorithms Research Support, N.i.h., Extramural Validation Studies |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cell Biology Biochemistry Molecular Biology Biotechnology |
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