Literature DB >> 29733314

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology.

Vijay Rajagopal1, Gregory Bass2, Shouryadipta Ghosh3, Hilary Hunt4, Cameron Walker5, Eric Hanssen6, Edmund Crampin7, Christian Soeller8.   

Abstract

With the advent of three-dimensional (3D) imaging technologies such as electron tomography, serial-block-face scanning electron microscopy and confocal microscopy, the scientific community has unprecedented access to large datasets at sub-micrometer resolution that characterize the architectural remodeling that accompanies changes in cardiomyocyte function in health and disease. However, these datasets have been under-utilized for investigating the role of cellular architecture remodeling in cardiomyocyte function. The purpose of this protocol is to outline how to create an accurate finite element model of a cardiomyocyte using high resolution electron microscopy and confocal microscopy images. A detailed and accurate model of cellular architecture has significant potential to provide new insights into cardiomyocyte biology, more than experiments alone can garner. The power of this method lies in its ability to computationally fuse information from two disparate imaging modalities of cardiomyocyte ultrastructure to develop one unified and detailed model of the cardiomyocyte. This protocol outlines steps to integrate electron tomography and confocal microscopy images of adult male Wistar (name for a specific breed of albino rat) rat cardiomyocytes to develop a half-sarcomere finite element model of the cardiomyocyte. The procedure generates a 3D finite element model that contains an accurate, high-resolution depiction (on the order of ~35 nm) of the distribution of mitochondria, myofibrils and ryanodine receptor clusters that release the necessary calcium for cardiomyocyte contraction from the sarcoplasmic reticular network (SR) into the myofibril and cytosolic compartment. The model generated here as an illustration does not incorporate details of the transverse-tubule architecture or the sarcoplasmic reticular network and is therefore a minimal model of the cardiomyocyte. Nevertheless, the model can already be applied in simulation-based investigations into the role of cell structure in calcium signaling and mitochondrial bioenergetics, which is illustrated and discussed using two case studies that are presented following the detailed protocol.

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Year:  2018        PMID: 29733314      PMCID: PMC6100652          DOI: 10.3791/56817

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  28 in total

1.  Systems biology of the mitochondrion.

Authors:  Daniel A Beard; Marko Vendelin
Journal:  Am J Physiol Cell Physiol       Date:  2006-12       Impact factor: 4.249

2.  Ultramicrotomy for biological electron microscopy.

Authors:  Herbert K Hagler
Journal:  Methods Mol Biol       Date:  2007

Review 3.  Models of cardiac excitation-contraction coupling in ventricular myocytes.

Authors:  George S B Williams; Gregory D Smith; Eric A Sobie; M Saleet Jafri
Journal:  Math Biosci       Date:  2010-03-25       Impact factor: 2.144

Review 4.  Super-resolution imaging of EC coupling protein distribution in the heart.

Authors:  Christian Soeller; David Baddeley
Journal:  J Mol Cell Cardiol       Date:  2012-11-13       Impact factor: 5.000

5.  Changes in mitochondrial morphology and organization can enhance energy supply from mitochondrial oxidative phosphorylation in diabetic cardiomyopathy.

Authors:  Jan Jarosz; Shouryadipta Ghosh; Lea M D Delbridge; Amorita Petzer; Anthony J R Hickey; Edmund J Crampin; Eric Hanssen; Vijay Rajagopal
Journal:  Am J Physiol Cell Physiol       Date:  2016-11-30       Impact factor: 4.249

6.  Three-dimensional high-resolution imaging of cardiac proteins to construct models of intracellular Ca2+ signalling in rat ventricular myocytes.

Authors:  Christian Soeller; Isuru D Jayasinghe; Pan Li; Arun V Holden; Mark B Cannell
Journal:  Exp Physiol       Date:  2009-01-12       Impact factor: 2.969

7.  A computational study of the role of mitochondrial organization on cardiac bioenergetics.

Authors:  Shouryadipta Ghosh; Edmund J Crampin; Eric Hanssen; Vijay Rajagopal
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2017-07

8.  A dynamic model of excitation-contraction coupling during acidosis in cardiac ventricular myocytes.

Authors:  Edmund J Crampin; Nicolas P Smith
Journal:  Biophys J       Date:  2006-02-10       Impact factor: 4.033

9.  Analysis of ryanodine receptor clusters in rat and human cardiac myocytes.

Authors:  Christian Soeller; David Crossman; Ray Gilbert; Mark B Cannell
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-11       Impact factor: 11.205

10.  Three-dimensional geometric modeling of membrane-bound organelles in ventricular myocytes: bridging the gap between microscopic imaging and mathematical simulation.

Authors:  Zeyun Yu; Michael J Holst; Takeharu Hayashi; Chandrajit L Bajaj; Mark H Ellisman; J Andrew McCammon; Masahiko Hoshijima
Journal:  J Struct Biol       Date:  2008-09-19       Impact factor: 2.867

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  2 in total

1.  Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture.

Authors:  Shouryadipta Ghosh; Kenneth Tran; Lea M D Delbridge; Anthony J R Hickey; Eric Hanssen; Edmund J Crampin; Vijay Rajagopal
Journal:  PLoS Comput Biol       Date:  2018-12-05       Impact factor: 4.475

Review 2.  Multi-Scale Computational Modeling of Spatial Calcium Handling From Nanodomain to Whole-Heart: Overview and Perspectives.

Authors:  Michael A Colman; Enrique Alvarez-Lacalle; Blas Echebarria; Daisuke Sato; Henry Sutanto; Jordi Heijman
Journal:  Front Physiol       Date:  2022-03-09       Impact factor: 4.755

  2 in total

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