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Light-Mediated Kinetic Control Reveals the Temporal Effect of the Raf/MEK/ERK Pathway in PC12 Cell Neurite Outgrowth

Overview of attention for article published in PLOS ONE, March 2014
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Title
Light-Mediated Kinetic Control Reveals the Temporal Effect of the Raf/MEK/ERK Pathway in PC12 Cell Neurite Outgrowth
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0092917
Pubmed ID
Authors

Kai Zhang, Liting Duan, Qunxiang Ong, Ziliang Lin, Pooja Mahendra Varman, Kijung Sung, Bianxiao Cui

Abstract

It has been proposed that differential activation kinetics allows cells to use a common set of signaling pathways to specify distinct cellular outcomes. For example, nerve growth factor (NGF) and epidermal growth factor (EGF) induce different activation kinetics of the Raf/MEK/ERK signaling pathway and result in differentiation and proliferation, respectively. However, a direct and quantitative linkage between the temporal profile of Raf/MEK/ERK activation and the cellular outputs has not been established due to a lack of means to precisely perturb its signaling kinetics. Here, we construct a light-gated protein-protein interaction system to regulate the activation pattern of the Raf/MEK/ERK signaling pathway. Light-induced activation of the Raf/MEK/ERK cascade leads to significant neurite outgrowth in rat PC12 pheochromocytoma cell lines in the absence of growth factors. Compared with NGF stimulation, light stimulation induces longer but fewer neurites. Intermittent on/off illumination reveals that cells achieve maximum neurite outgrowth if the off-time duration per cycle is shorter than 45 min. Overall, light-mediated kinetic control enables precise dissection of the temporal dimension within the intracellular signal transduction network.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Poland 1 <1%
Belgium 1 <1%
Unknown 136 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 29%
Student > Master 20 14%
Student > Bachelor 16 11%
Researcher 14 10%
Student > Doctoral Student 11 8%
Other 23 16%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 38%
Biochemistry, Genetics and Molecular Biology 44 31%
Chemistry 7 5%
Neuroscience 6 4%
Medicine and Dentistry 3 2%
Other 8 6%
Unknown 19 14%