Literature DB >> 20080088

Measuring nerve regeneration in the mouse.

John W Griffin1, BaoHan Pan, Michelle A Polley, Paul N Hoffman, Mohamed H Farah.   

Abstract

Genetic engineering of mice has become a major tool in understanding the roles of individual molecules in regeneration of nerves, and will play an increasing role in the future. Mice are in many ways well suited to assessment both of nerve regeneration after axotomy and of collateral sprouting of intact fibers into areas of denervation. However, mouse models present special challenges because of their small size, their inherent capacity for regeneration, and the potential strain effects. The most widely used model of regeneration, sciatic nerve injury, has its inherent limitations, and there is a need for other models of injury to long nerves. Measures of regeneration in the mouse can be divided into those that assess the latency to initiate growth, those sensitive to the rate of growth and the proportion of fibers growing at fast rates, those that assess the time to reinnervation of specific targets and the completeness of reinnervation, and those that assess specificity of reinnervation and functional recovery. The short length of nerve available in the mouse limits measures of the rates of outgrowth, and thus introduces a greater potential for "noise" of measurement than is seen in larger animals such as the rat. For both regeneration of interrupted fibers and collateral regeneration from intact fibers histological and physiological measures of "time to target" have the advantages of direct correlation with restoration of function, the ability to assess regeneration of different fiber types efficiently, and the fact that most of these measures are easier in the mouse than in the rat. Copyright 2010. Published by Elsevier Inc.

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Year:  2010        PMID: 20080088     DOI: 10.1016/j.expneurol.2009.12.033

Source DB:  PubMed          Journal:  Exp Neurol        ISSN: 0014-4886            Impact factor:   5.330


  46 in total

1.  Length-dependent axo-terminal degeneration at the neuromuscular synapses of type II muscle in SOD1 mice.

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2.  Reduced BACE1 activity enhances clearance of myelin debris and regeneration of axons in the injured peripheral nervous system.

Authors:  Mohamed H Farah; Bao Han Pan; Paul N Hoffman; Dana Ferraris; Takashi Tsukamoto; Thien Nguyen; Philip C Wong; Donald L Price; Barbara S Slusher; John W Griffin
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3.  VEGF-A promotes both pro-angiogenic and neurotrophic capacities for nerve recovery after compressive neuropathy in rats.

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Review 4.  Structural plasticity and reorganisation in chronic pain.

Authors:  Rohini Kuner; Herta Flor
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5.  Impaired neurovascular repair in subjects with diabetes following experimental intracutaneous axotomy.

Authors:  Gigi J Ebenezer; Ryan O'Donnell; Peter Hauer; Nicholas P Cimino; Justin C McArthur; Michael Polydefkis
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Authors:  Youhua Wang; Long Long; Jiao Yang; Yajuan Wu; Hao Wu; Haixiang Wei; Xiaolong Deng; Xinghai Cheng; Dong Lou; Hailei Chen; Hai Wen
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Review 7.  Neurotrauma and mesenchymal stem cells treatment: From experimental studies to clinical trials.

Authors:  Ana Maria Blanco Martinez; Camila de Oliveira Goulart; Bruna Dos Santos Ramalho; Júlia Teixeira Oliveira; Fernanda Martins Almeida
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8.  Therapeutic Effect of Vinorine on Sciatic Nerve Injured Rat.

Authors:  Dongdong Guo; Xingang Lu; Xiaoli Xu; Haixin Gou; Zhiqian Wang; Yi Cao; Xingjing Luo
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9.  Spatiotemporal Expression of Poly(rC)-Binding Protein PCBP2 Modulates Schwann Cell Proliferation After Sciatic Nerve Injury.

Authors:  Zhigang Chen; Weidong Zhang; Li Ni; Genlin Wang; Yi Cao; Weijie Wu; Chi Sun; Damin Yuan; Haidan Ni; Youhua Wang; Huilin Yang
Journal:  Cell Mol Neurobiol       Date:  2015-08-07       Impact factor: 5.046

10.  Lack of motor recovery after prolonged denervation of the neuromuscular junction is not due to regenerative failure.

Authors:  Miyuki Sakuma; Grzegorz Gorski; Shu-Hsien Sheu; Stella Lee; Lee B Barrett; Bhagat Singh; Takao Omura; Alban Latremoliere; Clifford J Woolf
Journal:  Eur J Neurosci       Date:  2015-09-28       Impact factor: 3.386

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