Literature DB >> 16822946

Three-dimensional mitochondrial arrangement in ventricular myocytes: from chaos to order.

Rikke Birkedal1, Holly A Shiels, Marko Vendelin.   

Abstract

We have developed a novel method to quantitatively analyze mitochondrial positioning in three dimensions. Using this method, we compared the relative positioning of mitochondria in adult rat and rainbow trout (Oncorhynchus mykiss) ventricular myocytes. Energetic data suggest that trout, in contrast to the rat, have two subpopulations of mitochondria in their cardiomyocytes. Therefore, we speculated whether trout cardiomyocytes exhibit two types of mitochondrial patterns. Stacks of confocal images of mitochondria were acquired in live cardiomyocytes. The images were processed and mitochondrial centers were detected automatically. The mitochondrial arrangement was analyzed by calculating the three-dimensional probability density and distribution functions describing the distances between neighboring mitochondrial centers. In the rat (8 cells with a total of 7,546 mitochondrial centers), intermyofibrillar mitochondria are highly ordered and arranged in parallel strands. These strands are separated by approximately 1.8 mum and can be found in any transversal direction relative to each other. Neighboring strands exhibit the same mitochondrial periodicity. In contrast to the rat, trout ventricular myocytes (22 cells; 5,528 mitochondrial centers) exhibit a relatively chaotic mitochondrial pattern. Neighboring mitochondria can be found in any direction relative to each other. Thus, two potential subpopulations of mitochondria in trout are not distinguishable by their pattern. The developed method required minor interaction in the filtering of the mitochondrial centers. It is therefore a practical approach to describe intracellular organization and may also be used for analysis of time-dependent organizational changes. The obtained quantitative description of mitochondrial organization is a requisite for accurate mathematical analysis of mitochondrial systems biology.

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Year:  2006        PMID: 16822946     DOI: 10.1152/ajpcell.00236.2006

Source DB:  PubMed          Journal:  Am J Physiol Cell Physiol        ISSN: 0363-6143            Impact factor:   4.249


  26 in total

1.  Permeabilized rat cardiomyocyte response demonstrates intracellular origin of diffusion obstacles.

Authors:  Natalja Jepihhina; Nathalie Beraud; Mervi Sepp; Rikke Birkedal; Marko Vendelin
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

2.  Mitochondrial dynamics in heart cells: very low amplitude high frequency fluctuations in adult cardiomyocytes and flow motion in non beating Hl-1 cells.

Authors:  Nathalie Beraud; Sophie Pelloux; Yves Usson; Andrey V Kuznetsov; Xavier Ronot; Yves Tourneur; Valdur Saks
Journal:  J Bioenerg Biomembr       Date:  2009-04-28       Impact factor: 2.945

3.  Temperature acclimation has no effect on ryanodine receptor expression or subcellular localization in rainbow trout heart.

Authors:  Rikke Birkedal; Jennifer Christopher; Angela Thistlethwaite; Holly A Shiels
Journal:  J Comp Physiol B       Date:  2009-06-21       Impact factor: 2.200

4.  Metabolic compartmentation in rainbow trout cardiomyocytes: coupling of hexokinase but not creatine kinase to mitochondrial respiration.

Authors:  Niina Karro; Mervi Sepp; Svetlana Jugai; Martin Laasmaa; Marko Vendelin; Rikke Birkedal
Journal:  J Comp Physiol B       Date:  2016-08-13       Impact factor: 2.200

5.  Anisotropic diffusion of fluorescently labeled ATP in rat cardiomyocytes determined by raster image correlation spectroscopy.

Authors:  Marko Vendelin; Rikke Birkedal
Journal:  Am J Physiol Cell Physiol       Date:  2008-09-24       Impact factor: 4.249

6.  ADP compartmentation analysis reveals coupling between pyruvate kinase and ATPases in heart muscle.

Authors:  Mervi Sepp; Marko Vendelin; Heiki Vija; Rikke Birkedal
Journal:  Biophys J       Date:  2010-06-16       Impact factor: 4.033

Review 7.  Bidirectionality and compartmentation of metabolic fluxes are revealed in the dynamics of isotopomer networks.

Authors:  David W Schryer; Pearu Peterson; Toomas Paalme; Marko Vendelin
Journal:  Int J Mol Sci       Date:  2009-04-17       Impact factor: 6.208

8.  Diffusion restrictions surrounding mitochondria: a mathematical model of heart muscle fibers.

Authors:  Hena R Ramay; Marko Vendelin
Journal:  Biophys J       Date:  2009-07-22       Impact factor: 4.033

9.  Strong inference for systems biology.

Authors:  Daniel A Beard; Martin J Kushmerick
Journal:  PLoS Comput Biol       Date:  2009-08-28       Impact factor: 4.475

10.  Intracellular diffusion restrictions in isolated cardiomyocytes from rainbow trout.

Authors:  Niina Sokolova; Marko Vendelin; Rikke Birkedal
Journal:  BMC Cell Biol       Date:  2009-12-17       Impact factor: 4.241

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