Literature DB >> 25304223

Can a death signal half-life be used to sense the distance to a lesion site in axons?

I A Kuznetsov1, A V Kuznetsov.   

Abstract

Neuron response to injury depends on the distance to the lesion site, which means that neurons are capable of sensing this distance. Several mechanisms explaining how neurons can do this have been proposed and it is possible that neurons use a combination of several mechanisms to make such measurements. In this paper we investigate the feasibility of the simplest mechanism, which is based on the hypothesis that death signals, produced at the lesion site, propagate toward the neuron soma. The signals are propelled by dynein motors. If signals have a finite half-life, they decay as they propagate. By measuring the concentration of death signals arriving to the soma, neurons should thus be able to determine the distance to the injury site. We develop and solve a transport equation based on the above model. We investigate how a death signal distribution depends on the dynein velocity distribution. We evaluate the efficiency of such a mechanism by investigating the sensitivity of death signal concentration at the soma to the distance to the injury site. By using the hypothesis that system performance is optimized by evolution, we evaluate death signal half-lives that would maximize this sensitivity.

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Year:  2014        PMID: 25304223      PMCID: PMC4298002          DOI: 10.1007/s10867-014-9363-y

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  32 in total

1.  Models of motor-assisted transport of intracellular particles.

Authors:  D A Smith; R M Simmons
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

2.  Recovery of axonal transport after partial optic nerve damage is associated with secondary retinal ganglion cell death in vivo.

Authors:  Sylvia Prilloff; Petra Henrich-Noack; Bernhard A Sabel
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-03-15       Impact factor: 4.799

3.  Processive bidirectional motion of dynein-dynactin complexes in vitro.

Authors:  Jennifer L Ross; Karen Wallace; Henry Shuman; Yale E Goldman; Erika L F Holzbaur
Journal:  Nat Cell Biol       Date:  2006-05-21       Impact factor: 28.824

Review 4.  Molecular signaling how do axons die?

Authors:  Michael Coleman
Journal:  Adv Genet       Date:  2011       Impact factor: 1.944

5.  Signaling to transcription networks in the neuronal retrograde injury response.

Authors:  Izhak Michaelevski; Yael Segal-Ruder; Meir Rozenbaum; Katalin F Medzihradszky; Ophir Shalem; Giovanni Coppola; Shirley Horn-Saban; Keren Ben-Yaakov; Shachar Y Dagan; Ida Rishal; Daniel H Geschwind; Yitzhak Pilpel; Alma L Burlingame; Mike Fainzilber
Journal:  Sci Signal       Date:  2010-07-13       Impact factor: 8.192

6.  Single-molecule imaging of NGF axonal transport in microfluidic devices.

Authors:  Kai Zhang; Yasuko Osakada; Marija Vrljic; Liang Chen; Harsha V Mudrakola; Bianxiao Cui
Journal:  Lab Chip       Date:  2010-07-09       Impact factor: 6.799

7.  Survival and subsequent regeneration of olfactory neurons after a distal axonal lesion.

Authors:  P F Cancalon
Journal:  J Neurocytol       Date:  1987-12

Review 8.  Axonal damage: a key predictor of outcome in human CNS diseases.

Authors:  I M Medana; M M Esiri
Journal:  Brain       Date:  2003-03       Impact factor: 13.501

9.  One at a time, live tracking of NGF axonal transport using quantum dots.

Authors:  Bianxiao Cui; Chengbiao Wu; Liang Chen; Alfredo Ramirez; Elaine L Bearer; Wei-Ping Li; William C Mobley; Steven Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-14       Impact factor: 11.205

10.  Rab5 and Rab7 control endocytic sorting along the axonal retrograde transport pathway.

Authors:  Katrin Deinhardt; Sara Salinas; Carole Verastegui; Rose Watson; Daniel Worth; Sarah Hanrahan; Cecilia Bucci; Giampietro Schiavo
Journal:  Neuron       Date:  2006-10-19       Impact factor: 17.173

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