Cardiac Physiology: Publications

Journal papers

• [1]

  Control of NFAT Isoform Activation and NFAT−Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals

  P Kar‚ GR Mirams‚ HC Christian and AB Parekh

  In Molecular Cell. Vol. 64. No. 4. Pages 746−759. 2016.

  Details about Control of NFAT Isoform Activation and NFAT−Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals | BibTeX data for Control of NFAT Isoform Activation and NFAT−Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals | DOI (10.1016/j.molcel.2016.11.011) | Link to Control of NFAT Isoform Activation and NFAT−Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca2+ Signals

• [2]

  Hierarchical Bayesian inference for ion channel screening dose−response data

  RH Johnstone‚ R Bardenet‚ DJ Gavaghan and GR Mirams

  In Wellcome Open Research. Vol. 1. Pages 6. 2016.

  Details about Hierarchical Bayesian inference for ion channel screening dose−response data | BibTeX data for Hierarchical Bayesian inference for ion channel screening dose−response data | DOI (10.12688/wellcomeopenres.9945.1) | Link to Hierarchical Bayesian inference for ion channel screening dose−response data

• [3]

  White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology

  GR Mirams‚ P Pathmanathan‚ RA Gray‚ P Challenor and RH Clayton

  In Journal of Physiology. 2016.

  Details about White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology | BibTeX data for White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology | DOI (10.1113/JP271671)

• [4]

  Connexin 43 contributes to electrotonic conduction across scar tissue in the intact heart

  VM Mahoney‚ V Mezzano‚ GR Mirams‚ K Maass‚ Z Li‚ M Cerrone‚ C Vasquez‚ A Bapat‚ M Delmar and GE Morley

  In Scientific Reports. Vol. 6. Pages 26744. 2016.

  Details about Connexin 43 contributes to electrotonic conduction across scar tissue in the intact heart | BibTeX data for Connexin 43 contributes to electrotonic conduction across scar tissue in the intact heart | DOI (10.1038/srep26744)

• [5]

  White Paper: Computational Cardiology and Risk Stratification for Sudden Cardiac Death: One of the Grand Challenges for Cardiology in the 21st Century.

  AP Hill‚ MD Perry‚ N Abi−Gerges‚ J−P Couderc‚ B Fermini‚ JC Hancox‚ BC Knollmann‚ GR Mirams‚ J Skinner‚ W Zareba and JI Vandenberg

  In Journal of Physiology. 2016.

  Details about White Paper: Computational Cardiology and Risk Stratification for Sudden Cardiac Death: One of the Grand Challenges for Cardiology in the 21st Century. | BibTeX data for White Paper: Computational Cardiology and Risk Stratification for Sudden Cardiac Death: One of the Grand Challenges for Cardiology in the 21st Century. | DOI (10.1113/JP272015)

• [6]

  Recent developments in using mechanistic cardiac modelling for drug safety evaluation

  MR Davies‚ K Wang‚ GR Mirams‚ A Caruso‚ D Noble‚ A Walz‚ T Lavé‚ F Schuler‚ T Singer and L Polonchuk

  In Drug Discovery Today. Vol. 21. No. 6. Pages 924–938. 2016.

  Details about Recent developments in using mechanistic cardiac modelling for drug safety evaluation | BibTeX data for Recent developments in using mechanistic cardiac modelling for drug safety evaluation | DOI (10.1016/j.drudis.2016.02.003)

• [7]

  The Cardiac Electrophysiology Web Lab

  Jonathan Cooper‚ Martin Scharm and Gary Mirams

  In Biophysical Journal. Vol. 110. No. 2. Pages 292−300. 2016.

  Details about The Cardiac Electrophysiology Web Lab | BibTeX data for The Cardiac Electrophysiology Web Lab | DOI (10.1016/j.bpj.2015.12.012)

• [8]

  Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models?

  RH Johnstone‚ ET Chang‚ R Bardenet‚ TP de Boer‚ DJ Gavaghan‚ P Pathmanathan‚ RH Clayton and GR Mirams

  In Journal of Molecular and Cellular Cardiology. Vol. 96. Pages 49−62. 2016.

  Details about Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models? | BibTeX data for Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models? | DOI (10.1016/j.yjmcc.2015.11.018)

• [9]

  Ca2+ Channel Re−localization to Plasma−Membrane Microdomains Strengthens Activation of Ca2+−Dependent Nuclear Gene Expression

  Krishna Samanta‚ Pulak Kar‚ Gary R. Mirams and Anant B. Parekh

  In Cell Reports. Vol. 12. No. 2. Pages 203−216. 2015.

  Details about Ca2+ Channel Re−localization to Plasma−Membrane Microdomains Strengthens Activation of Ca2+−Dependent Nuclear Gene Expression | BibTeX data for Ca2+ Channel Re−localization to Plasma−Membrane Microdomains Strengthens Activation of Ca2+−Dependent Nuclear Gene Expression | DOI (10.1016/j.celrep.2015.06.018) | Link to Ca2+ Channel Re−localization to Plasma−Membrane Microdomains Strengthens Activation of Ca2+−Dependent Nuclear Gene Expression

• [10]

  Cardiac Tissue Slices: Preparation‚ Handling‚ and Successful Optical Mapping

  K Wang‚ P Lee‚ GR Mirams‚ P Sarathchandra‚ T Borg‚ DJ Gavaghan‚ P Kohl and C Bollensdorff

  In American Journal of Physiology: Heart and Circulatory Physiology. Vol. 308. Pages H1112−H1125. 2015.

  Details about Cardiac Tissue Slices: Preparation‚ Handling‚ and Successful Optical Mapping | BibTeX data for Cardiac Tissue Slices: Preparation‚ Handling‚ and Successful Optical Mapping | DOI (10.1152/ajpheart.00556.2014) | Link to Cardiac Tissue Slices: Preparation‚ Handling‚ and Successful Optical Mapping

• [11]

  A web portal for in−silico action potential predictions

  Geoff Williams and Gary Mirams

  In Journal of Pharmacological and Toxicological Methods. Vol. 75. Pages 10−16. 2015.

  Details about A web portal for in−silico action potential predictions | BibTeX data for A web portal for in−silico action potential predictions | DOI (10.1016/j.vascn.2015.05.002) | Link to A web portal for in−silico action potential predictions

• [12]

  Cellular cardiac electrophysiology modelling with Chaste and CellML

  Jonathan Cooper‚ Raymond Spiteri and Gary Mirams

  In Frontiers in Physiology. Vol. 5. Pages 511. January, 2015.

  Details about Cellular cardiac electrophysiology modelling with Chaste and CellML | BibTeX data for Cellular cardiac electrophysiology modelling with Chaste and CellML | DOI (10.3389/fphys.2014.00511) | Link to Cellular cardiac electrophysiology modelling with Chaste and CellML

• [13]

  Prediction of Thorough QT study results using action potential simulations based on ion channel screens

  GR Mirams‚ MR Davies‚ SJ Brough‚ MH Bridgland−Taylor‚ Y Cui‚ DJ Gavaghan and N Abi−Gerges

  In Journal of Pharmacological & Toxicological Methods. Vol. 70. No. 3. Pages 246−254. 2014.

  Details about Prediction of Thorough QT study results using action potential simulations based on ion channel screens | BibTeX data for Prediction of Thorough QT study results using action potential simulations based on ion channel screens | DOI (10.1016/j.vascn.2014.07.002)

• [14]

  Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge

  Kylie A. Beattie‚ Chris Luscombe‚ Geoff Williams‚ Jordi Munoz−Muriedas‚ David J. Gavaghan‚ Yi Cui and Gary R. Mirams

  In Journal of Pharmacological and Toxicological Methods. Vol. 68. No. 1. Pages 88−96. 2013.

  Details about Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge | BibTeX data for Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge | DOI (10.1016/j.vascn.2013.04.004) | Link to Evaluation of an In Silico Cardiac Safety Assay: Using Ion Channel Screening Data to Predict QT Interval Changes in the Rabbit Ventricular Wedge

• [15]

  Variability in high−throughput ion channel screening data and consequences for cardiac safety assessment

  Ryan C. Elkins‚ Mark R. Davies‚ Stephen J. Brough‚ David J. Gavaghan‚ Yi Cui‚ Najah Abi−Gerges and Gary R. Mirams

  In Journal of Pharmacological and Toxicological Methods. Vol. 68. No. 1. Pages 112−122. 2013.

  Details about Variability in high−throughput ion channel screening data and consequences for cardiac safety assessment | BibTeX data for Variability in high−throughput ion channel screening data and consequences for cardiac safety assessment | DOI (10.1016/j.vascn.2013.04.007)

• [16]

  Chaste: an open source C++ library for computational physiology and biology

  G.R. Mirams‚ C.J. Arthurs‚ M.O. Bernabeu‚ R. Bordas‚ J. Cooper‚ A. Corrias‚ Y. Davit‚ S−J. Dunn‚ A.G. Fletcher‚ D.G. Harvey‚ M.E. Marsh‚ J. M. Osborne‚ P. Pathmanathan‚ J. Pitt−Francis‚ J. Southern‚ N. Zemzemi and D.J. Gavaghan

  In PLoS Computational Biology. Vol. 9. No. 3. Pages e1002970. 2013.

  Details about Chaste: an open source C++ library for computational physiology and biology | BibTeX data for Chaste: an open source C++ library for computational physiology and biology | DOI (10.1371/journal.pcbi.1002970) | Link to Chaste: an open source C++ library for computational physiology and biology

• [17]

  Computational assessment of drug−induced effects on the electrocardiogram: from ion channel block to body surface potentials

  N Zemzemi‚ MO Bernabeu‚ J Saiz‚ J Cooper‚ P Pathmanathan‚ GR Mirams‚ J Pitt−Francis and B Rodriguez

  In British Journal of Pharmacology. Vol. 168. No. 3. Pages 718−733. 2013.

  Details about Computational assessment of drug−induced effects on the electrocardiogram: from ion channel block to body surface potentials | BibTeX data for Computational assessment of drug−induced effects on the electrocardiogram: from ion channel block to body surface potentials | DOI (10.1111/j.1476-5381.2012.02200.x)