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Super-Resolution Dynamic Imaging of Dendritic Spines Using a Low-Affinity Photoconvertible Actin Probe

Overview of attention for article published in PLOS ONE, January 2011
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Title
Super-Resolution Dynamic Imaging of Dendritic Spines Using a Low-Affinity Photoconvertible Actin Probe
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0015611
Pubmed ID
Authors

Ignacio Izeddin, Christian G. Specht, Mickaël Lelek, Xavier Darzacq, Antoine Triller, Christophe Zimmer, Maxime Dahan

Abstract

The actin cytoskeleton of dendritic spines plays a key role in morphological aspects of synaptic plasticity. The detailed analysis of the spine structure and dynamics in live neurons, however, has been hampered by the diffraction-limited resolution of conventional fluorescence microscopy. The advent of nanoscopic imaging techniques thus holds great promise for the study of these processes. We implemented a strategy for the visualization of morphological changes of dendritic spines over tens of minutes at a lateral resolution of 25 to 65 nm. We have generated a low-affinity photoconvertible probe, capable of reversibly binding to actin and thus allowing long-term photoactivated localization microscopy of the spine cytoskeleton. Using this approach, we resolve structural parameters of spines and record their long-term dynamics at a temporal resolution below one minute. Furthermore, we have determined changes in the spine morphology in response to pharmacologically induced synaptic activity and quantified the actin redistribution underlying these changes. By combining PALM imaging with quantum dot tracking, we could also simultaneously visualize the cytoskeleton and the spine membrane, allowing us to record complementary information on the morphological changes of the spines at super-resolution.

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Geographical breakdown

Country Count As %
France 8 3%
United States 7 2%
United Kingdom 6 2%
Germany 6 2%
Italy 2 <1%
Argentina 2 <1%
Chile 1 <1%
Canada 1 <1%
Hungary 1 <1%
Other 2 <1%
Unknown 269 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 88 29%
Student > Ph. D. Student 78 26%
Student > Master 26 9%
Professor 20 7%
Professor > Associate Professor 19 6%
Other 49 16%
Unknown 25 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 45%
Neuroscience 41 13%
Physics and Astronomy 29 10%
Biochemistry, Genetics and Molecular Biology 25 8%
Engineering 15 5%
Other 29 10%
Unknown 29 10%