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Laser-Based Single-Axon Transection for High-Content Axon Injury and Regeneration Studies

Overview of attention for article published in PLOS ONE, November 2011
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Title
Laser-Based Single-Axon Transection for High-Content Axon Injury and Regeneration Studies
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0026832
Pubmed ID
Authors

Darío Kunik, Carolyne Dion, Tsuneyuki Ozaki, Leonard A. Levin, Santiago Costantino

Abstract

The investigation of the regenerative response of the neurons to axonal injury is essential to the development of new axoprotective therapies. Here we study the retinal neuronal RGC-5 cell line after laser transection, demonstrating that the ability of these cells to initiate a regenerative response correlates with axon length and cell motility after injury. We show that low energy picosecond laser pulses can achieve transection of unlabeled single axons in vitro and precisely induce damage with micron precision. We established the conditions to achieve axon transection, and characterized RGC-5 axon regeneration and cell body response using time-lapse microscopy. We developed an algorithm to analyze cell trajectories and established correlations between cell motility after injury, axon length, and the initiation of the regeneration response. The characterization of the motile response of axotomized RGC-5 cells showed that cells that were capable of repair or regrowth of damaged axons migrated more slowly than cells that could not. Moreover, we established that RGC-5 cells with long axons could not recover their injured axons, and such cells were much more motile. The platform we describe allows highly controlled axonal damage with subcellular resolution and the performance of high-content screening in cell cultures.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Germany 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 33%
Student > Ph. D. Student 3 9%
Student > Bachelor 3 9%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Other 9 27%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 33%
Biochemistry, Genetics and Molecular Biology 4 12%
Physics and Astronomy 4 12%
Medicine and Dentistry 3 9%
Engineering 3 9%
Other 6 18%
Unknown 2 6%