Literature DB >> 20123784

Can robots patch-clamp as well as humans? Characterization of a novel sodium channel mutation.

M Estacion1, J S Choi, E M Eastman, Z Lin, Y Li, L Tyrrell, Y Yang, S D Dib-Hajj, S G Waxman.   

Abstract

Ion channel missense mutations cause disorders of excitability by changing channel biophysical properties. As an increasing number of new naturally occurring mutations have been identified, and the number of other mutations produced by molecular approaches such as in situ mutagenesis has increased, the need for functional analysis by patch-clamp has become rate limiting. Here we compare a patch-clamp robot using planar-chip technology with human patch-clamp in a functional assessment of a previously undescribed Nav1.7 sodium channel mutation, S211P, which causes erythromelalgia. This robotic patch-clamp device can increase throughput (the number of cells analysed per day) by 3- to 10-fold. Both modes of analysis show that the mutation hyperpolarizes activation voltage dependence (8 mV by manual profiling, 11 mV by robotic profiling), alters steady-state fast inactivation so that it requires an additional Boltzmann function for a second fraction of total current (approximately 20% manual, approximately 40% robotic), and enhances slow inactivation (hyperpolarizing shift--15 mV by human,--13 mV robotic). Manual patch-clamping demonstrated slower deactivation and enhanced (approximately 2-fold) ramp response for the mutant channel while robotic recording did not, possibly due to increased temperature and reduced signal-to-noise ratio on the robotic platform. If robotic profiling is used to screen ion channel mutations, we recommend that each measurement or protocol be validated by initial comparison to manual recording. With this caveat, we suggest that, if results are interpreted cautiously, robotic patch-clamp can be used with supervision and subsequent confirmation from human physiologists to facilitate the initial profiling of a variety of electrophysiological parameters of ion channel mutations.

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Year:  2010        PMID: 20123784      PMCID: PMC2901980          DOI: 10.1113/jphysiol.2009.186114

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  29 in total

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2.  High throughput ion-channel pharmacology: planar-array-based voltage clamp.

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4.  Identification of PN1, a predominant voltage-dependent sodium channel expressed principally in peripheral neurons.

Authors:  J J Toledo-Aral; B L Moss; Z J He; A G Koszowski; T Whisenand; S R Levinson; J J Wolf; I Silos-Santiago; S Halegoua; G Mandel
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5.  A critical role for the S4-S5 intracellular loop in domain IV of the sodium channel alpha-subunit in fast inactivation.

Authors:  J C McPhee; D S Ragsdale; T Scheuer; W A Catterall
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8.  Electrophysiological properties of mutant Nav1.7 sodium channels in a painful inherited neuropathy.

Authors:  Theodore R Cummins; Sulayman D Dib-Hajj; Stephen G Waxman
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10.  Structure and functional expression of a new member of the tetrodotoxin-sensitive voltage-activated sodium channel family from human neuroendocrine cells.

Authors:  N Klugbauer; L Lacinova; V Flockerzi; F Hofmann
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2.  Introduction to the Journal of Physiology's special issue on neurological channelopathies.

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3.  Targeting ion channels for the treatment of gastrointestinal motility disorders.

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Review 4.  Using automated patch clamp electrophysiology platforms in pain-related ion channel research: insights from industry and academia.

Authors:  Damian C Bell; Mark L Dallas
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Review 6.  Pain channelopathies.

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7.  Molecular architecture of a sodium channel S6 helix: radial tuning of the voltage-gated sodium channel 1.7 activation gate.

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8.  Functional analysis of three Nav1.6 mutations causing early infantile epileptic encephalopathy.

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10.  Novel mutations mapping to the fourth sodium channel domain of Nav1.7 result in variable clinical manifestations of primary erythromelalgia.

Authors:  Roman Cregg; Bisola Laguda; Robert Werdehausen; James J Cox; John E Linley; Juan D Ramirez; Istvan Bodi; Michael Markiewicz; Kevin J Howell; Ya-Chun Chen; Karen Agnew; Henry Houlden; Michael P Lunn; David L H Bennett; John N Wood; Maria Kinali
Journal:  Neuromolecular Med       Date:  2013-01-06       Impact factor: 3.843

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