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2022-04-01Zeitschriftenartikel DOI: 10.18452/26365
A dynamic clamp protocol to artificially modify cell capacitance
dc.contributor.authorPfeiffer, Paul
dc.contributor.authorBarreda Tomás, Federico José
dc.contributor.authorWu, Jiameng
dc.contributor.authorSchleimer, Jan Hendrik
dc.contributor.authorVida, Imre
dc.contributor.authorSchreiber, Susanne
dc.date.accessioned2023-04-03T12:31:18Z
dc.date.available2023-04-03T12:31:18Z
dc.date.issued2022-04-01none
dc.identifier.urihttp://edoc.hu-berlin.de/18452/27049
dc.descriptionThis article was supported by the German Research Foundation (DFG) and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
dc.description.abstractDynamics of excitable cells and networks depend on the membrane time constant, set by membrane resistance and capacitance. Whereas pharmacological and genetic manipulations of ionic conductances of excitable membranes are routine in electrophysiology, experimental control over capacitance remains a challenge. Here, we present capacitance clamp, an approach that allows electrophysiologists to mimic a modified capacitance in biological neurons via an unconventional application of the dynamic clamp technique. We first demonstrate the feasibility to quantitatively modulate capacitance in a mathematical neuron model and then confirm the functionality of capacitance clamp in in vitro experiments in granule cells of rodent dentate gyrus with up to threefold virtual capacitance changes. Clamping of capacitance thus constitutes a novel technique to probe and decipher mechanisms of neuronal signaling in ways that were so far inaccessible to experimental electrophysiology.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc570 Biologienone
dc.titleA dynamic clamp protocol to artificially modify cell capacitancenone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/27049-6
dc.identifier.doihttp://dx.doi.org/10.18452/26365
dc.type.versionpublishedVersionnone
local.edoc.pages32none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn2050-084X
dcterms.bibliographicCitation.doi10.7554/eLife.75517
dcterms.bibliographicCitation.journaltitleeLifenone
dcterms.bibliographicCitation.volume11none
dcterms.bibliographicCitation.originalpublishernameeLife Sciences Publicationsnone
dcterms.bibliographicCitation.originalpublisherplaceCambridgenone
bua.departmentLebenswissenschaftliche Fakultätnone

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