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A bilobal model of Ca-dependent inactivation to probe the physiology of L-type Ca channels. | LitMetric

A bilobal model of Ca-dependent inactivation to probe the physiology of L-type Ca channels.

J Gen Physiol

Institute for Computational Medicine, Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD

Published: December 2018

L-type calcium channels (LTCCs) are critical elements of normal cardiac function, playing a major role in orchestrating cardiac electrical activity and initiating downstream signaling processes. LTCCs thus use feedback mechanisms to precisely control calcium (Ca) entry into cells. Of these, Ca-dependent inactivation (CDI) is significant because it shapes cardiac action potential duration and is essential for normal cardiac rhythm. This important form of regulation is mediated by a resident Ca sensor, calmodulin (CaM), which is comprised of two lobes that are each capable of responding to spatially distinct Ca sources. Disruption of CaM-mediated CDI leads to severe forms of long-QT syndrome (LQTS) and life-threatening arrhythmias. Thus, a model capable of capturing the nuances of CaM-mediated CDI would facilitate increased understanding of cardiac (patho)physiology. However, one critical barrier to achieving a detailed kinetic model of CDI has been the lack of quantitative data characterizing CDI as a function of Ca This data deficit stems from the experimental challenge of uncoupling the effect of channel gating on Ca entry. To overcome this obstacle, we use photo-uncaging of Ca to deliver a measurable Ca input to CaM/LTCCs, while simultaneously recording CDI. Moreover, we use engineered CaMs with Ca binding restricted to a single lobe, to isolate the kinetic response of each lobe. These high-resolution measurements enable us to build mathematical models for each lobe of CaM, which we use as building blocks for a full-scale bilobal model of CDI. Finally, we use this model to probe the pathogenesis of LQTS associated with mutations in CaM (calmodulinopathies). Each of these models accurately recapitulates the kinetics and steady-state properties of CDI in both physiological and pathological states, thus offering powerful new insights into the mechanistic alterations underlying cardiac arrhythmias.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279366PMC
http://dx.doi.org/10.1085/jgp.201812115DOI Listing

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