Literature DB >> 23042948

Interpreting genetic effects through models of cardiac electromechanics.

S A Niederer1, S Land, S W Omholt, N P Smith.   

Abstract

Multiscale models of cardiac electromechanics are being increasingly focused on understanding how genetic variation and environment underpin multiple disease states. In this paper we review the current state of the art in both the development of specific models and the physiological insights they have produced. This growing research body includes the development of models for capturing the effects of changes in function in both single and multiple proteins in both specific expression systems and in vivo contexts. Finally, the potential for using this approach for ultimately predicting phenotypes from genetic sequence information is discussed.

Mesh:

Year:  2012        PMID: 23042948      PMCID: PMC3532540          DOI: 10.1152/ajpheart.00121.2012

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  93 in total

1.  Linking a genetic defect to its cellular phenotype in a cardiac arrhythmia.

Authors:  C E Clancy; Y Rudy
Journal:  Nature       Date:  1999-08-05       Impact factor: 49.962

2.  Mechanism of shortened action potential duration in Na+-Ca2+ exchanger knockout mice.

Authors:  Christian Pott; Xiaoyan Ren; Diana X Tran; Ming-Jim Yang; Scott Henderson; Maria C Jordan; Kenneth P Roos; Alan Garfinkel; Kenneth D Philipson; Joshua I Goldhaber
Journal:  Am J Physiol Cell Physiol       Date:  2006-08-30       Impact factor: 4.249

3.  Images in cardiovascular medicine. Himalayan T waves in the congenital long-QT syndrome.

Authors:  Dawood Darbar; Dan M Roden; Muhammed F Ali; Tao Yang; Mark S Wathen
Journal:  Circulation       Date:  2005-03-22       Impact factor: 29.690

Review 4.  Predicting protein function from sequence and structure.

Authors:  David Lee; Oliver Redfern; Christine Orengo
Journal:  Nat Rev Mol Cell Biol       Date:  2007-12       Impact factor: 94.444

5.  A meta-analysis of cardiac electrophysiology computational models.

Authors:  S A Niederer; M Fink; D Noble; N P Smith
Journal:  Exp Physiol       Date:  2009-01-12       Impact factor: 2.969

Review 6.  Coupling multi-physics models to cardiac mechanics.

Authors:  D A Nordsletten; S A Niederer; M P Nash; P J Hunter; N P Smith
Journal:  Prog Biophys Mol Biol       Date:  2009-11-14       Impact factor: 3.667

7.  A mutation in the human cardiac sodium channel (E161K) contributes to sick sinus syndrome, conduction disease and Brugada syndrome in two families.

Authors:  Jeroen P P Smits; Tamara T Koopmann; Ronald Wilders; Marieke W Veldkamp; Tobias Opthof; Zahir A Bhuiyan; Marcel M A M Mannens; Jeffrey R Balser; Hanno L Tan; Connie R Bezzina; Arthur A M Wilde
Journal:  J Mol Cell Cardiol       Date:  2005-04-01       Impact factor: 5.000

8.  Role of diastolic properties in the transition to failure in a mouse model of the cardiac dilatation.

Authors:  Peter N Costandi; Lawrence R Frank; Andrew D McCulloch; Jeffrey H Omens
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-07-21       Impact factor: 4.733

9.  Computer model of action potential of mouse ventricular myocytes.

Authors:  Vladimir E Bondarenko; Gyula P Szigeti; Glenna C L Bett; Song-Jung Kim; Randall L Rasmusson
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-05-13       Impact factor: 4.733

10.  Cardiac-directed parvalbumin transgene expression in mice shows marked heart rate dependence of delayed Ca2+ buffering action.

Authors:  Sharlene M Day; Pierre Coutu; Wang Wang; Todd Herron; Immanuel Turner; Michael Shillingford; Nathan C Lacross; Kimber L Converso; Lin Piao; Jingdong Li; Anatoli N Lopatin; Joseph M Metzger
Journal:  Physiol Genomics       Date:  2008-03-11       Impact factor: 3.107

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  5 in total

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Journal:  J R Soc Interface       Date:  2017-09       Impact factor: 4.118

Review 2.  The role of markup for enabling interoperability in health informatics.

Authors:  Steve McKeever; David Johnson
Journal:  Front Physiol       Date:  2015-05-18       Impact factor: 4.566

Review 3.  Fibroblast-myocyte electrotonic coupling: does it occur in native cardiac tissue?

Authors:  Peter Kohl; Robert G Gourdie
Journal:  J Mol Cell Cardiol       Date:  2014-01-08       Impact factor: 5.000

4.  Integrating multi-scale data to create a virtual physiological mouse heart.

Authors:  Sander Land; Steven A Niederer; William E Louch; Ole M Sejersted; Nicolas P Smith
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

5.  Pro-arrhythmogenic effects of CACNA1C G1911R mutation in human ventricular tachycardia: insights from cardiac multi-scale models.

Authors:  Jieyun Bai; Kuanquan Wang; Qince Li; Yongfeng Yuan; Henggui Zhang
Journal:  Sci Rep       Date:  2016-08-09       Impact factor: 4.379

  5 in total

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