Literature DB >> 25088555

Activity-dependent feedback regulates correlated ion channel mRNA levels in single identified motor neurons.

Simone Temporal1, Kawasi M Lett1, David J Schulz2.   

Abstract

Neurons generate cell-specific outputs via interactions of conductances carried by ion channel proteins that are homeostatically regulated to maintain key quantitative relationships among subsets of conductances. Given the challenges of both normal channel protein turnover and short-term plasticity, how is the balance of membrane conductances maintained over long-term timescales to ensure stable electrophysiological phenotype? One possible mechanism is to dynamically regulate production of channel protein via feedback that constrains relationships at the channel mRNA level. Recent modeling work has postulated that such mRNA relationships could emerge as a result of activity-dependent homeostatic tuning rules that ensure an appropriate ratio of mRNA for key ion channels is maintained to preserve robust cellular output. Yet, this has never been demonstrated in biological neurons. In this study, we quantified multiple ion channel mRNAs from single identified motor neurons of the stomatogastric ganglion to determine whether correlations among channel mRNAs are actively maintained, and, if so, by what form of feedback. In these neurons, we identified correlations among mRNAs for voltage-gated calcium and potassium channels. By performing experiments that decoupled activity, synaptic connectivity, and neuromodulatory state, we determined that correlated channel mRNAs are maintained by an activity-dependent process. This is the first study to demonstrate that distinct relationships across channel mRNAs are dynamically maintained in an activity-dependent manner. This feedback from cellular activity to coordinated transcriptome-level interactions represents a novel aspect of regulation of neuronal output with implications for long-term stability of neuron function.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25088555     DOI: 10.1016/j.cub.2014.06.067

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  42 in total

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Review 2.  Animal-to-Animal Variability in Neuromodulation and Circuit Function.

Authors:  Albert W Hamood; Eve Marder
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3.  Modulator-Gated, SUMOylation-Mediated, Activity-Dependent Regulation of Ionic Current Densities Contributes to Short-Term Activity Homeostasis.

Authors:  Anna R Parker; Lori A Forster; Deborah J Baro
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Authors:  Albert W Hamood; Eve Marder
Journal:  J Neurophysiol       Date:  2015-07-08       Impact factor: 2.714

5.  Hyperexcitability and plasticity induced by sustained hypoxia on rectus abdominis motoneurons.

Authors:  Melina P da Silva; Davi José A Moraes; Leni G H Bonagamba; André de Souza Mecawi; Wamberto A Varanda; Benedito H Machado
Journal:  J Physiol       Date:  2019-02-28       Impact factor: 5.182

6.  Removal of endogenous neuromodulators in a small motor network enhances responsiveness to neuromodulation.

Authors:  Kawasi M Lett; Veronica J Garcia; Simone Temporal; Dirk Bucher; David J Schulz
Journal:  J Neurophysiol       Date:  2017-06-28       Impact factor: 2.714

7.  A balance of outward and linear inward ionic currents is required for generation of slow-wave oscillations.

Authors:  Jorge Golowasch; Amitabha Bose; Yinzheng Guan; Dalia Salloum; Andrea Roeser; Farzan Nadim
Journal:  J Neurophysiol       Date:  2017-05-24       Impact factor: 2.714

Review 8.  Consequences of degeneracy in network function.

Authors:  Elizabeth C Cropper; Andrew M Dacks; Klaudiusz R Weiss
Journal:  Curr Opin Neurobiol       Date:  2016-08-31       Impact factor: 6.627

9.  Temperature-Robust Neural Function from Activity-Dependent Ion Channel Regulation.

Authors:  Timothy O'Leary; Eve Marder
Journal:  Curr Biol       Date:  2016-10-13       Impact factor: 10.834

Review 10.  The complexity of small circuits: the stomatogastric nervous system.

Authors:  Nelly Daur; Farzan Nadim; Dirk Bucher
Journal:  Curr Opin Neurobiol       Date:  2016-07-21       Impact factor: 6.627

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