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microRNAs in axon guidance

Overview of attention for article published in Frontiers in Cellular Neuroscience, March 2014
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133 Mendeley
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Title
microRNAs in axon guidance
Published in
Frontiers in Cellular Neuroscience, March 2014
DOI 10.3389/fncel.2014.00078
Pubmed ID
Authors

Archana N. Iyer, Anaïs Bellon, Marie-Laure Baudet

Abstract

Brain wiring is a highly intricate process in which trillions of neuronal connections are established. Its initial phase is particularly crucial in establishing the general framework of neuronal circuits. During this early step, differentiating neurons extend axons, which reach their target by navigating through a complex environment with extreme precision. Research in the past 20 years has unraveled a vast and complex array of chemotropic cues that guide the leading tip of axons, the growth cone, throughout its journey. Tight regulation of these cues, and of their receptors and signaling pathways, is necessary for the high degree of accuracy required during circuit formation. However, little is known about the nature of regulatory molecules or mechanisms fine-tuning axonal cue response. Here we review recent, and somewhat fragmented, research on the possibility that microRNAs (miRNAs) could be key fine-tuning regulatory molecules in axon guidance. miRNAs appear to shape long-range axon guidance, fasciculation and targeting. We also present several lines of evidence suggesting that miRNAs could have a compartmentalized and differential action at the cell soma, and within axons and growth cones.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Researcher 26 20%
Student > Master 17 13%
Student > Bachelor 13 10%
Student > Doctoral Student 12 9%
Other 15 11%
Unknown 21 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 32%
Neuroscience 31 23%
Biochemistry, Genetics and Molecular Biology 13 10%
Medicine and Dentistry 11 8%
Engineering 4 3%
Other 9 7%
Unknown 22 17%