Journal article
Assessing Cardiomyocyte Excitation-Contraction Coupling Site Detection From Live Cell Imaging Using a Structurally-Realistic Computational Model of Calcium Release
David Ladd, Agne Tilunaite, H Llewelyn Roderick, Christian Soeller, Edmund J Crampin, Vijay Rajagopal
Frontiers in Physiology | Frontiers Media | Published : 2019
Abstract
Calcium signaling plays a pivotal role in cardiomyocytes, coupling electrical excitation to mechanical contraction of the heart. Determining locations of active calcium release sites, and how their recruitment changes in response to stimuli and in disease states is therefore of central interest in cardiac physiology. Current algorithms for detecting release sites from live cell imaging data are however not easily validated against a known “ground truth,” which makes interpretation of the output of such algorithms, in particular the degree of confidence in site detection, a challenging task. Computational models are capable of integrating findings from multiple sources into a consistent, pred..
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Grants
Awarded by Australian Government through the Australian Research Council
Awarded by Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology
Awarded by Engineering and Physical Sciences Research Council of the United Kingdom
Awarded by Biotechnology and Biological Sciences Research Council
Awarded by Research Foundation Flanders (FWO)
Awarded by Research Foundation Flanders (FWO) (Odysseus programme)
Funding Acknowledgements
This research was supported in part by the Australian Government through the Australian Research Council's Discovery Projects funding scheme (project DP170101358), and in part by the Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology (project number CE140100036). CS acknowledges financial support by the Engineering and Physical Sciences Research Council of the United Kingdom (Grant EP/N008235/1) and Biotechnology and Biological Sciences Research Council Grants BB/P026508/1 and BB/R022127/1. HR wishes to acknowledge financial support from the Research Foundation Flanders (FWO) (Project Grant G08861N and Odysseus programme Grant 90663).