Publications

Back to staff profile

  • S. Johnston, Matthew Faria, E. Crampin. Understanding nano-engineered particle–cell interactions: biological insights from mathematical models. Nanoscale Advances, 2139-2156, 2021. doi: 10.1039/d0na00774a.

  • Niloofar Shahidi, M. Pan, Soroush Safaei, Kenneth Tran, E. Crampin, David P Nickerson. Hierarchical semantic composition of biosimulation models using bond graphs.. PLoS Comput Biol, 17, e1008859, 2021. doi: 10.1371/journal.pcbi.1008859.

  • Matthew Faria, Mattias Bjornmalm, E. Crampin, Frank Caruso, Mattias Björnmalm. A few clarifications on MIRIBEL.. Nature nanotechnology, 15, 2-3, 2020. doi: 10.1038/s41565-019-0612-x.

  • Peter J Gawthrop, Peter Cudmore, E. Crampin. Physically-plausible modelling of biomolecular systems: A simplified, energy-based model of the mitochondrial electron transport chain.. Journal of theoretical biology, 493, 110223 (10pp), 2020. doi: 10.1016/j.jtbi.2020.110223.

  • S. Johnston, Matthew Faria, E. Crampin. Isolating the sources of heterogeneity in nano-engineered particle–cell interactions. Journal of the Royal Society, Interface, 17, 20200221 (10pp), 2020. doi: 10.1098/rsif.2020.0221.

  • S. Johnston, Matthew J Simpson, E. Crampin. Predicting population extinction in lattice-based birth–death–movement models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 476, 20200089 (18pp), 2020. doi: 10.1098/rspa.2020.0089.

  • AgnÄ— TilÅ«naitÄ—, David Ladd, H. Hunt, Christian Soeller, Llewelyn Roderick, E. Crampin, Vijay Rajagopal. Ca2+ release via IP3Rs increases RyR mediated Ca2+ spark frequency in ventricular cardiomyocytes without altering spark amplitude and duration. 2020.08.13.249144, Cold Spring Harbor Laboratory, 2020. doi: 10.1101/2020.08.13.249144.

  • Megan E Guidry, David P Nickerson, E. Crampin, Martyn P Nash, Denis S Loiselle, Kenneth Tran. Insights From Computational Modeling Into the Contribution of Mechano-Calcium Feedback on the Cardiac End-Systolic Force-Length Relationship.. Frontiers in physiology, 11, 587 (12pp), 2020. doi: 10.3389/fphys.2020.00587.

  • H. Hunt, AgnÄ— TilÅ«naitÄ—, Greg Bass, Christian Soeller, H Llewelyn Roderick, Vijay Rajagopal, E. Crampin. Ca2+ Release via IP3 Receptors Shapes the Cardiac Ca2+ Transient for Hypertrophic Signaling. Biophysical Journal, 1178-1192, 2020. doi: 10.1016/j.bpj.2020.08.001.

  • H. Hunt, E. Crampin. Mathematical models of calcium signalling in the context of cardiac hypertrophy. 2020.

  • Dharmesh Dinesh Bhuva, E. Crampin. Identification of molecular phenotypes and their regulation in cancer. 2020.

  • S. Johnston, MJ Simpson, E. Crampin. Predicting population extinction in lattice-based birth-death-movement models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 476, 2020. doi: 10.1098/rspa.2020.0089rspa20200089.

  • E. Crampin, M. Pan, Kenneth Tran, Shourya Ghosh, Vijay Rajagopal. Modelling cardiomyocyte energetics. IOP Publishing, 2020. doi: 10.1088/978-0-7503-2064-1ch6.

  • S. Johnston, Matthew J Simpson, E. Crampin. Predicting population extinction in lattice-based birth-death-movement models. 2020.

  • Ivo Siekmann, Stefan Bjelosevic, K. Landman, Paul Monagle, Vera Ignjatovic, E. Crampin. Mathematical modelling indicates that lower activity of the haemostatic system in neonates is primarily due to lower prothrombin concentration.. Sci Rep, 9, 3936 (9pp), 2019. doi: 10.1038/s41598-019-40435-7.

  • Alessia CG Weiss, Hannah G Kelly, Matthew Faria, Quinn A Besford, Adam K Wheatley, Ching-Seng Ang, E. Crampin, Frank Caruso, Stephen J Kent. Link between Low-Fouling and Stealth: A Whole Blood Biomolecular Corona and Cellular Association Analysis on Nanoengineered Particles. . ACS nano, 4980-4991, 2019. doi: 10.1021/acsnano.9b00552.

  • David Ladd, Agne Tilunaite, Christian Soeller, Llewelyn Roderick, E. Crampin, Vijay Rajagopal. Detecting RyR clusters with CaCLEAN: influence of spatial distribution and structural heterogeneity. 549683, Cold Spring Harbor Laboratory, 2019. doi: 10.1101/549683.

  • Peter J Gawthrop, E. Crampin. Energetic Modelling of Mitochondrial Redox Reactions. Biophysical Journal, 116, 419A (1pp), 2019. doi: 10.1016/j.bpj.2018.11.2256.

  • Matthew Faria, Ka Noi, S. Johnston, Yi Ju, Mattias Bjornmalm, Frank Caruso, E. Crampin, Mattias Björnmalm. Kinetic Modeling of Nanoparticle-Cell Association. Biophysical Journal, 116, 445A (1pp), 2019. doi: 10.1016/j.bpj.2018.11.2399.

  • S. Johnston, Matthew Faria, E. Crampin. Quantifying the Influence of Nanoparticle Polydispersity on Cellular Delivered Dose. Biophysical Journal, 116, 33A (1pp), 2019. doi: 10.1016/j.bpj.2018.11.221.

  • David Ladd, Agne Tilunaite, H Llewelyn Roderick, Christian Soeller, E. Crampin, Vijay Rajagopal. Detecting RyR Clusters with CaCLEAN: Validation and Influence of Spatial Heterogeneity. Biophysical Journal, 116, 42A-43A, 2019. doi: 10.1016/j.bpj.2018.11.273.

  • S. Johnston, E. Crampin. Corrected pair correlation functions for environments with obstacles.. Physical review. E, 99, 032124 (19pp), 2019. doi: 10.1103/PhysRevE.99.032124.

  • M. Pan, Peter J Gawthrop, Kenneth Tran, Joseph Cursons, E. Crampin. A Thermodynamic Framework for Modelling Membrane Transporters. Biophysical Journal, 116, 420A (1pp), 2019. doi: 10.1016/j.bpj.2018.11.2263.

  • Peter Cudmore, E. Crampin. Bondgraphtools: Modelling Network Bioenergetics. Biophysical Journal, 116, 420A (1pp), 2019. doi: 10.1016/j.bpj.2018.11.2262.

  • Matthew Faria, Ka Fung Noi, Qiong Dai, Mattias Björnmalm, S. Johnston, Kristian Kempe, Frank Caruso, E. Crampin. Revisiting cell–particle association in vitro: A quantitative method to compare particle performance. Journal of controlled release : official journal of the Controlled Release Society, 307, 355-367, 2019. doi: 10.1016/j.jconrel.2019.06.027.

  • David Ladd, Agne Tilunaite, H Llewelyn Roderick, Christian Soeller, E. Crampin, Vijay Rajagopal, AgnÄ— TilÅ«naitÄ—. Assessing Cardiomyocyte Excitation-Contraction Coupling Site Detection From Live Cell Imaging Using a Structurally-Realistic Computational Model of Calcium Release.. Frontiers in physiology, 10, 1263 (15pp), 2019. doi: 10.3389/fphys.2019.01263.

  • Ivo Siekmann, P. Cao, James Sneyd, E. Crampin. Data-Driven Modelling of the Inositol Trisphosphate Receptor ( $$ ext {IP}_3 ext {R}$$ ) and its Role in Calcium-Induced Calcium Release (CICR). 39-68, Springer International Publishing, 2019. doi: 10.1007/978-3-030-00817-8_2.

  • Shouryadipta Ghosh, Eric Hanssen, E. Crampin, Vijay Rajagopal. How Does the Internal Structure of Cardiac Muscle Cells Regulate Cellular Metabolism?. Microscopy and Microanalysis, 25, 240-241, 2019. doi: 10.1017/s1431927619001934.

  • D. Lin, Andrey Kan, Jerry Gao, E. Crampin, Philip D Hodgkin, Shalin H Naik. DiSNE Movie Visualization and Assessment of Clonal Kinetics Reveal Multiple Trajectories of Dendritic Cell Development. Cell Reports, 22, 2557-2566, 2018. doi: 10.1016/j.celrep.2018.02.046.

  • H. Hunt, Gregory Bass, Llewelyn Roderick, Christian Soeller, Vijay Rajagopal, E. Crampin. Mixed Signals: Interaction between RyR and IP3R Mediated Calcium Release Shapes the Calcium Transient for Hypertrophic Signalling in Cardiomyocytes. BIOPHYSICAL JOURNAL, 114, 212A-213A, 2018.

  • Shouryadipta Ghosh, Kenneth Trani, E. Crampin, Eric Hanssen, Vijay Rajagopa. Creatine-Kinase Shuttle and Rapid Mitochondrial Membrane Potential Conductivity are Needed Simultaneously to Maintain Uniform Metabolite Distributions in the Cardiac Cell Contraction Cycle. BIOPHYSICAL JOURNAL, 114, 550A (1pp), 2018.

  • V Rajagopal, G Bass, S Ghosh, H. Hunt, C Walker, E Hanssen, E. Crampin, C Soeller. Creating a structurally realistic finite element geometric model of a cardiomyocyte to study the role of cellular architecture in cardiomyocyte systems biology. Journal of Visualized Experiments, 2018, 2018. doi: 10.3791/56817.

  • C. Miller , J. Osborne, E. Crampin. Multi-Cellular Modelling of Cellular Mechanisms Gives Insights on the Maintenance of Epidermal Tissue Structure. Biophysical Journal, 114, 678A-679A, 2018.

  • J. Cursons, KA Pillman, KG Scheer, PA Gregory, M Foroutan, S Hediyeh-Zadeh, J Toubia, E. Crampin, GJ Goodall, CP Bracken, M. Davis. Combinatorial Targeting by MicroRNAs Co-ordinates Post-transcriptional Control of EMT. Cell Systems, 77-+, 2018. doi: 10.1016/j.cels.2018.05.019.

  • M. Pan, PJ Gawthrop, K. Tran, J. Cursons, E. Crampin. Bond graph modelling of the cardiac action potential: implications for drift and non-unique steady states.. Proceedings. Mathematical, physical, and engineering sciences, 474, 20180106 (27pp), 2018. doi: 10.1098/rspa.2018.0106.

  • S. Johnston, Matthew Faria, E. Crampin. An analytical approach for quantifying the influence of nanoparticle polydispersity on cellular delivered dose.. Journal of the Royal Society, Interface, 15, 20180364 (12pp), 2018. doi: 10.1098/rsif.2018.0364.

  • Matthew Faria, Mattias Björnmalm, Kristofer J Thurecht, Stephen J Kent, Robert G Parton, Maria Kavallaris, Angus PR Johnston, J Justin Gooding, Simon R Corrie, Ben J Boyd, Pall Thordarson, Andrew K Whittaker, Molly M Stevens, Clive A Prestidge, Christopher JH Porter, Wolfgang J Parak, Thomas P Davis, E. Crampin, Frank Caruso. Minimum information reporting in bio-nano experimental literature.. Nature nanotechnology, 13, 777-785, 2018. doi: 10.1038/s41565-018-0246-4.

  • SHOURYADIPTA GHOSH, Kenneth Tran, Lea Delbridge, Anthony Hickey, Eric Hanssen, E. Crampin, Vijay Rajagopal. Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture. 327254, 2018. doi: 10.1101/327254.

  • M. Pan, Peter J Gawthrop, Kenneth Tran, Joseph Cursons, E. Crampin. A thermodynamic framework for modelling membrane transporters.. Journal of theoretical biology, 10-23, 2018. doi: 10.1016/j.jtbi.2018.09.034.

  • P Gawthrop, E. Crampin. Bond Graph Representation of Chemical Reaction Networks. IEEE Transactions on Nanobioscience, 449-455, 2018. doi: 10.1109/TNB.2018.2876391.

  • Shouryadipta Ghosh, Kenneth Tran, Lea MD Delbridge, Anthony JR Hickey, Eric Hanssen, E. Crampin, Vijay Rajagopal. Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture.. PLoS Comput Biol, 14, e1006640 (25pp), 2018. doi: 10.1371/journal.pcbi.1006640.

  • PJ Gawthrop, E. Crampin. Biomolecular system energetics. Simulation Series, 50, 206-214, 2018.

  • Matthew Faria, E. Crampin. Quantifying interactions between nanoengineered particles and cells. 2018.

  • S. Johnston, E. Crampin. Corrected pair correlation functions for environments with obstacles. 2018.

  • Peter J Gawthrop, E. Crampin. Energy-based analysis of biomolecular pathways. Proceedings of the Royal Society A - Mathematical, Physical and Engineering Sciences, 473, 20160825 (21pp), 2017. doi: 10.1098/rspa.2016.0825.

  • Peter J Gawthrop, I. Siekmann, Tatiana Kameneva, Susmita Saha, Michael R Ibbotson, E. Crampin. Bond graph modelling of chemoelectrical energy transduction. IET Systems Biology, 11, 127-138, 2017. doi: 10.1049/iet-syb.2017.0006.

  • Joshua J Glass, Liyu Chen, Sheilajen Alcantara, E. Crampin, Kristofer J Thurecht, Robert De Rose, Stephen J Kent. Charge Has a Marked Influence on Hyperbranched Polymer Nanoparticle Association in Whole Human Blood. ACS Macro Letters, 6, 586-592, 2017. doi: 10.1021/acsmacrolett.7b00229.

  • Jan Jarosz, Shouryadipta Ghosh, Lea MD Delbridge, Amorita Petzer, Anthony JR Hickey, E. Crampin, Eric Hanssen, Vijay Rajagopal. Changes in mitochondrial morphology and organization can enhance energy supply from mitochondrial oxidative phosphorylation in diabetic cardiomyopathy. American Journal of Physiology-Cell Physiology, 312, C190-C197, 2017. doi: 10.1152/ajpcell.00298.2016.

  • S Ghosh, E. Crampin, E Hanssen, V Rajagopal. A computational study of the role of mitochondrial organization on cardiac bioenergetics. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2696-2699, 2017. doi: 10.1109/EMBC.2017.8037413.

  • Kenneth Tran, June-Chiew Han, E. Crampin, Andrew James Taberner, Denis Scott Loiselle. Experimental and modelling evidence of shortening heat in cardiac muscle. Journal of Physiology, 595, 6313-6326, 2017. doi: 10.1113/JP274680.

  • Joseph Cursons, Katherine Pillman, Kaitlin Scheer, Philip Gregory, Momeneh Foroutan, Soroor Hediyeh Zadeh, John Toubia, E. Crampin, Gregory Goodall, Cameron Bracken, Melissa Davis. Post-Transcriptional Control Of EMT Is Coordinated Through Combinatorial Targeting By Multiple microRNAs. Cold Spring Harbor Laboratory, 2017. doi: 10.1101/138024.

  • Gregory Bass, E. Crampin. Decoding calcium signalling crosstalk in cardiac hypertrophy. 2017.

  • David M Budden, E. Crampin. Distributed gene expression modelling for exploring variability in epigenetic function. BMC Bioinformatics, 17, 446 (8pp), 2016. doi: 10.1186/s12859-016-1313-1.

  • Miles C Andrews, Joseph Cursons, Daniel G Hurley, Matthew Anaka, Jonathan S Cebon, Andreas Behren, E. Crampin. Systems analysis identifies miR-29b regulation of invasiveness in melanoma. Molecular Cancer, 15, 72 (20pp), 2016. doi: 10.1186/s12943-016-0554-y.

  • David M Budden, E. Crampin. Information theoretic approaches for inference of biological networks from continuous-valued data. BMC Systems Biology, 10, 89 (7pp), 2016. doi: 10.1186/s12918-016-0331-y.

  • Kenneth Tran, June-Chiew Han, Andrew J Taberner, Carolyn J Barrett, E. Crampin, Denis S Loiselle. Myocardial energetics is not compromised during compensated hypertrophy in the Dahl salt-sensitive rat model of hypertension. American Journal of Physiology - Heart and Circulatory Physiology, 311, H563-H571, 2016. doi: 10.1152/ajpheart.00396.2016.

  • I. Siekmann, M. Fackrell, E. Crampin, P. Taylor. Modelling modal gating of ion channels with hierarchical Markov models. Proceedings of the Royal Society A - Mathematical, Physical and Engineering Sciences, 472, 20160122 (27pp), 2016. doi: 10.1098/rspa.2016.0122.

  • Peter J Gawthrop, E. Crampin. Modular bond-graph modelling and analysis of biomolecular systems. IET Systems Biology, 10, 187-201, 2016. doi: 10.1049/iet-syb.2015.0083.

  • Jiwei Cui, Matthew Faria, Mattias Bjornmalm, Yi Ju, Tomoya Suma, Sylvia T Gunawan, Joseph J Richardson, Hamed Heidar, Sara Bals, E. Crampin, Frank Caruso. A Framework to Account for Sedimentation and Diffusion in Particle-Cell Interactions. Langmuir, 32, 12394-12402, 2016. doi: 10.1021/acs.langmuir.6b01634.

  • DAVID BUDDEN, E. Crampin. The systems biology of eukaryotic transcription. 2016.

  • Ivo Siekmann, M. Fackrell, E. Crampin, P. Taylor. Modelling modal gating of ion channels with hierarchical Markov models. 2016.

  • Sujitra Detchokul, Aparna Elangovan, Melissa J Davis, Geoff Macintyre, E. Crampin, Albert G Frauman. Biological network analysis using an in vitro model of androgen-resistance in prostate cancer. Cancer Research, 75, B1-40 (2pp), 2015. doi: 10.1158/1538-7445.COMPSYSBIO-B1-40.

  • Maxwell L Neal, Brian E Carlson, Christopher T Thompson, Ryan C James, Karam G Kim, Kenneth Tran, E. Crampin, Daniel L Cook, John H Gennari. Semantics-Based Composition of Integrated Cardiomyocyte Models Motivated by Real-World Use Cases. PLoS One, 10, e0145621 (18pp), 2015. doi: 10.1371/journal.pone.0145621.

  • Joseph Cursons, Catherine E Angel, Daniel G Hurley, Cristin G Print, P Rod Dunbar, Marc D Jacobs, E. Crampin. Spatially transformed fluorescence image data for ERK-MAPK and selected proteins within human epidermis. Gigascience, 4, 63 (6pp), 2015. doi: 10.1186/s13742-015-0102-5.

  • Sujitra Detchokul, Aparna Elangovan, E. Crampin, Melissa J Davis, Albert C Frauman. Network analysis of an in vitro model of androgen-resistance in prostate cancer. BMC Cancer, 15, 883 (14pp), 2015. doi: 10.1186/s12885-015-1884-7.

  • Peter J Gawthrop, Joseph Cursons, E. Crampin. Hierarchical bond graph modelling of biochemical networks. Proceedings of the Royal Society A - Mathematical, Physical and Engineering Sciences, 471, 20150642 (23pp), 2015. doi: 10.1098/rspa.2015.0642.

  • D. Hurley, J. Cursons, Y Wang, David M Budden, Cristin G Print, E. Crampin. NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks. Bioinformatics, 31, 277-278, 2015. doi: 10.1093/bioinformatics/btu612.

  • D. Hurley, David M Budden, E. Crampin. Virtual Reference Environments: a simple way to make research reproducible. Briefings in Bioinformatics, 16, 901-903, 2015. doi: 10.1093/bib/bbu043.

  • David M Budden, D. Hurley, E. Crampin. Predictive modelling of gene expression from transcriptional regulatory elements. Briefings in Bioinformatics, 16, 616-628, 2015. doi: 10.1093/bib/bbu034.

  • J. Cursons, Karl-Johan Leuchowius, Mark Waltham, Eva Tomaskovic-Crook, Momeneh Foroutan, Cameron P Bracken, Andrew Redfern, E. Crampin, Ian Street, M. Davis, Erik W Thompson. Stimulus-dependent differences in signalling regulate epithelial-mesenchymal plasticity and change the effects of drugs in breast cancer cell lines. Cell Communication and Signaling, 13, 26 (21pp), 2015. doi: 10.1186/s12964-015-0106-x.

  • David M Budden, D. Hurley, E. Crampin. Modelling the conditional regulatory activity of methylated and bivalent promoters. Epigenetics & Chromatin, 8, 21 (10pp), 2015. doi: 10.1186/s13072-015-0013-9.

  • Katie Sharp, E. Crampin, James Sneyd. A spatial model of fluid recycling in the airways of the lung. Journal of Theoretical Biology, 382, 198-215, 2015. doi: 10.1016/j.jtbi.2015.06.050.

  • K. Tran, Denis S Loiselle, E. Crampin. Regulation of cardiac cellular bioenergetics: mechanisms and consequences. Physiological Reports, 3, e12464 (16pp), 2015. doi: 10.14814/phy2.12464.

  • J. Cursons, Jerry Gao, D. Hurley, Cristin G Print, P Rod Dunbar, Marc D Jacobs, E. Crampin. Regulation of ERK-MAPK signaling in human epidermis. BMC Systems Biology, 9, 41 (16pp), 2015. doi: 10.1186/s12918-015-0187-6.

  • M. Davis, J. Cursons, Karl Leuchowius, Mark Waltham, Sepideh Foroutan, Andrew Redfern, Eva Tomascovik-Crook, Bryce van Denderen, Tony Blick, Gayle Phillip, E. Crampin, Ian Street, Erik Thompson. The role of MEK signaling in driving mesenchymal transition in cell line models of human breast cancer metastasis. Clinical & Experimental Metastasis, 32, 200 (1pp), 2015.

  • Vijay Rajagopal, Gregory Bass, Cameron G Walker, David J Crossman, Amorita Petzer, Anthony Hickey, I. Siekmann, Masahiko Hoshijima, Mark H Ellisman, E. Crampin, Christian Soeller. Examination of the Effects of Heterogeneous Organization of RyR Clusters, Myofibrils and Mitochondria on Ca2+ Release Patterns in Cardiomyocytes. PLoS Computational Biology, 11, e1004417 (31pp), 2015. doi: 10.1371/journal.pcbi.1004417.

  • K. Tran, J Han, Carolyn J Barrett, Andrew J Taberner, Denis S Loiselle, E. Crampin. Effect of a High-Salt Diet on the Mechano-Energetics of Left Ventricular Trabeculae Isolated from Dahl Salt-Sensitive Rats. Biophysical Journal, 106, 776A (1pp), 2014. doi: 10.1016/j.bpj.2013.11.4255.

  • I. Siekmann, J Sneyd, E. Crampin. Statistical analysis of modal gating in ion channels. Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, 470, 20140030 (19pp), 2014. doi: 10.1098/rspa.2014.0030.

  • PJ Gawthrop, E. Crampin. Energy-based analysis of biochemical cycles using bond graphs. Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, 470, 20140459 (25pp), 2014. doi: 10.1098/rspa.2014.0459.

  • James Sneyd, E. Crampin, David Yule. Multiscale modelling of saliva secretion. Mathematical Biosciences, 257, 69-79, 2014. doi: 10.1016/j.mbs.2014.06.017.

  • David M Budden, D. Hurley, J. Cursons, John F Markham, M. Davis, E. Crampin. Predicting expression: the complementary power of histone modification and transcription factor binding data. Epigenetics & Chromatin, 7, 36 (12pp), 2014. doi: 10.1186/1756-8935-7-36.

  • OJ Maclaren, J Sneyd, E. Crampin. Reply to Response to 'What Do Aquaporin Knockout Studies Tell Us about Fluid Transport in Epithelia?' Maclaren OJ, Sneyd J, Crampin EJ (2013) J Membr Biol 246:297-305. Journal of Membrane Biology, 247, 289-290, 2014. doi: 10.1007/s00232-013-9628-6.

  • Y Wang, CG Print, E. Crampin. Biclustering reveals breast cancer tumour subgroups with common clinical features and improves prediction of disease recurrence. BMC Genomics, 14, 1-15, 2013. doi: 10.1186/1471-2164-14-102.

  • OJ Maclaren, J Sneyd, E. Crampin. What do aquaporin knockout studies tell us about fluid transport in epithelia?. Journal of Membrane Biology, 246, 297-305, 2013. doi: 10.1007/s00232-013-9530-2.

  • LR Bachtiar, CP Unsworth, RD Newcomb, E. Crampin. Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design. Neural Computation, 25, 259-287, 2013. doi: 10.1162/NECO_a_00386.

  • Y Wang, D. Hurley, S Schnell, CG Print, E. Crampin. Integration of Steady-State and Temporal Gene Expression Data for the Inference of Gene Regulatory Networks. PLoS One, 8, e72103 (11pp), 2013. doi: 10.1371/journal.pone.0072103.

  • Laurence Palk, James Sneyd, Trevor J Shuttleworth, David I Yule, E. Crampin. Corrigendum to ‘A dynamic model of saliva secretion’ [J. Theor. Biol. 266, 2010, 625–640]. Journal of Theoretical Biology, 317, 428 (1pp), 2013. doi: 10.1016/j.jtbi.2012.10.027.

  • J. Cursons, E. Crampin, Marc D Jacobs. Human Epidermis as a Model System for the Investigation of Intracellular Signaling Pathways, In Situ. Biophysical Journal, 102, 668A (1pp), 2012. doi: 10.1016/j.bpj.2011.11.3639.

  • I. Siekmann, J Sneyd, E. Crampin. MCMC Can Detect Nonidentifiable Models. Biophysical Journal, 103, 2275-2286, 2012. doi: 10.1016/j.bpj.2012.10.024.

  • K Patterson, MA Catalan, JE Melvin, DI Yule, E. Crampin, J Sneyd, MA Catalán. A quantitative analysis of electrolyte exchange in the salivary duct. American Journal of Physiology - Gastrointestinal and Liver Physiology, 303, G1153-G1163, 2012. doi: 10.1152/ajpgi.00364.2011.

  • I. Siekmann, LE Wagner, D Yule, E. Crampin, J Sneyd. A Kinetic Model for Type I and II IP3R Accounting for Mode Changes. Biophysical Journal, 103, 658-668, 2012. doi: 10.1016/j.bpj.2012.07.016.

  • L Palk, J Sneyd, K Patterson, TJ Shuttleworth, DI Yule, O Maclaren, E. Crampin. Modelling the effects of calcium waves and oscillations on saliva secretion. Journal of Theoretical Biology, 305, 45-53, 2012. doi: 10.1016/j.jtbi.2012.04.009.

  • L. Wang, D. Hurley, W Watkins, H Araki, Y Tamada, A Muthukaruppan, L Ranjard, E Derkac, S Imoto, S Miyano, E. Crampin, CG Print. Cell Cycle Gene Networks Are Associated with Melanoma Prognosis. PLoS One, 7, 1-19, 2012. doi: 10.1371/journal.pone.0034247.

  • D. Hurley, H Araki, Y Tamada, B Dunmore, D Sanders, S Humphreys, M Affara, S Imoto, K Yasuda, Y Tomiyasu, K Tashiro, C Savoie, V Cho, S Smith, S Kuhara, S Miyano, DS Charnock-Jones, E. Crampin, CG Print. Gene network inference and visualization tools for biologists: application to new human transcriptome datasets. Nucleic Acids Research, 40, 2377-2398, 2012. doi: 10.1093/nar/gkr902.

  • OJ Maclaren, J Sneyd, E. Crampin. Efficiency of Primary Saliva Secretion: An Analysis of Parameter Dependence in Dynamic Single-Cell and Acinus Models, with Application to Aquaporin Knockout Studies. Journal of Membrane Biology, 245, 29-50, 2012. doi: 10.1007/s00232-011-9413-3.

  • J Han, AJ Taberner, K. Tran, S Goo, DP Nickerson, MP Nash, PMF Nielsen, E. Crampin, DS Loiselle. Comparison of the Gibbs and Suga formulations of cardiac energetics: The demise of "isoefficiency". Journal of Applied Physiology, 113, 996-1003, 2012. doi: 10.1152/japplphysiol.00693.2011.

  • J Han, K. Tran, AJ Taberner, DP Nickerson, RS Kirton, PMF Nielsen, ML Ward, MP Nash, E. Crampin, DS Loiselle. Myocardial twitch duration and the dependence of oxygen consumption on pressure-volume area: Experiments and modelling. Journal of Physiology, 590, 4603-4622, 2012. doi: 10.1113/jphysiol.2012.228965.

  • I. Siekmann, Larry E Wagner, David Yule, E. Crampin, James Sneyd. A Park/Drive Model for the Inositol-Trisphosphate Receptor (IPR). Biophysical Journal, 102, 110A (1pp), 2012. doi: 10.1016/j.bpj.2011.11.619.

  • K. Tran, Denis S Loiselle, E. Crampin. Bioenergetic Supply and Demand in the Cardiomyocyte. Biophysical Journal, 102, 142A (1pp), 2012. doi: 10.1016/j.bpj.2011.11.781.

  • Oliver J Maclaren, James Sneyd, E. Crampin. Reconciling Aquaporin Knockout Studies with Epithelial Permeability: Insights from Modelling the Salivary Gland. Biophysical Journal, 102, 651A-652A, 2012. doi: 10.1016/j.bpj.2011.11.3547.

  • J. Han, AJ Taberner, K. Tran, DP Nickerson, MP Nash, PMF Nielsen, E. Crampin, DS Loiselle. Relating components of pressure-volume area in Suga's formulation of cardiac energetics to components of the stress-time integral. Journal of Applied Physiology, 113, 988-995, 2012. doi: 10.1152/japplphysiol.00438.2012.

  • E. Crampin. Lactate and acidosis yet again?. Journal of Applied Physiology, 110, 1495 (1pp), 2011. doi: 10.1152/japplphysiol.00242.2011.

  • M Fink, SA Niederer, EM Cherry, FH Fenton, JT Koivumaki, G Seemann, R Thul, H. Zhang, FB Sachse, D Beard, E. Crampin, NP Smith, others. Cardiac cell modelling: Observations from the heart of the cardiac physiome project. Progress in Biophysics & Molecular Biology, 104, 2-21, 2011. doi: 10.1016/j.pbiomolbio.2010.03.002.

  • MA Mourao, J Srividhya, PE McSharry, E. Crampin, S Schnell. A Graphical User Interface for a Method to Infer Kinetics and Network Architecture (MIKANA). PLoS One, 6, e27534 (12pp), 2011. doi: 10.1371/journal.pone.0027534.

  • I. Siekmann, LE Wagner, D Yule, C Fox, D Bryant, E. Crampin, J Sneyd. MCMC Estimation of Markov Models for Ion Channels. Biophysical Journal, 100, 1919-1929, 2011. doi: 10.1016/j.bpj.2011.02.059.

  • D Waltemath, R Adams, DA Beard, FT Bergmann, US Bhalla, R Britten, V Chelliah, MT Cooling, J Cooper, E. Crampin, A Garny, S Hoops, M Hucka, P Hunter, E Klipp, C Laibe, AK Miller, I Moraru, D Nickerson, P Nielsen, M Nikolski, S Sahle, HM Sauro, H Schmidt, JL Snoep, D Tolle, O Wolkenhauer, N Le Novere, N le Novère. Minimum Information About a Simulation Experiment (MIASE). PLoS Computational Biology, 7, e1001122 (4pp), 2011. doi: 10.1371/journal.pcbi.1001122.

  • LR Bachtiar, CP Unsworth, RD Newcomb, E. Crampin. Using artificial neural networks to classify unknown volatile chemicals from the firings of insect olfactory sensory neurons. The proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, 2752-2755, 2011. doi: 10.1109/IEMBS.2011.6090754.

  • LR Bachtiar, CP Unsworth, RD Newcomb, E. Crampin. Predicting odorant chemical class from odorant descriptor values with an assembly of multi-layer perceptrons. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2011, 2756-2759, 2011. doi: 10.1109/IEMBS.2011.6090755.

  • E. Crampin, DA Beard, MI Lindinger, GJF Heigenhauser, D Boning, N Maassen, K Sahlin, DJ Bishop, RA Meyer, RW Wiseman, I Tabata. Comments on Point:Counterpoint: Muscle lactate and H production do/do not have a 1:1 association in skeletal muscle. Lactate and acidosis yet again?. Journal of Applied Physiology, 110, 1495, 2011. doi: 10.1152/japplphysiol.00242.2011.

  • H Araki, D. Hurley, E. Crampin, C Print, S Kuhara. Gene Network Analysis and Application. Seibutsu Butsuri, 51, 182-185, 2011. doi: 10.2142/biophys.51.182.

  • K Tran, NP Smith, DS Loiselle, E. Crampin. Correction A thermodynamic model of the cardiac sarcoplasmic/endoplasmic Ca2+ (SERCA) pump (vol 96, pg 2029, 2009). Biophysical Journal, 100, 2853, 2011. doi: 10.1016/j.bpj.2011.05.018.

  • J. Cursons, D. Hurley, CE Angel, PR Dunbar, E. Crampin, MD Jacobs. Inference of an in situ epidermal intracellular signaling cascade. Conference Proceedings of the IEEE Engineering in Medicine and Biology Society, 2010, 799-802, 2010. doi: 10.1109/IEMBS.2010.5626520.

  • P Kohl, E. Crampin, TA Quinn, D Noble. Systems biology: an approach. Clinical Pharmacology and Therapeutics, 88, 25-33, 2010. doi: 10.1038/clpt.2010.92.

  • AK Miller, CG Print, PMF Nielsen, E. Crampin. A Bayesian Search for Transcriptional Motifs. PLoS One, 5, e13897 (7pp), 2010. doi: 10.1371/journal.pone.0013897.

  • L Palk, J Sneyd, TJ Shuttleworth, DI Yule, E. Crampin. A dynamic model of saliva secretion. Journal of Theoretical Biology, 266, 625-640, 2010. doi: 10.1016/j.jtbi.2010.06.027.

  • DS Loiselle, K. Tran, E. Crampin, NA Curtin. Why has reversal of the actin-myosin cross-bridge cycle not been observed experimentally?. Journal of Applied Physiology, 108, 1465-1471, 2010. doi: 10.1152/japplphysiol.01198.2009.

  • J Srividhya, MA Mourao, E. Crampin, S Schnell, MA Mourão. Enzyme catalyzed reactions: From experiment to computational mechanism reconstruction. Computational Biology and Chemistry, 34, 11-18, 2010. doi: 10.1016/j.compbiolchem.2009.10.007.

  • K. Tran, NP Smith, DS Loiselle, E. Crampin. A Metabolite-Sensitive, Thermodynamically Constrained Model of Cardiac Cross-Bridge Cycling: Implications for Force Development during Ischemia. Biophysical Journal, 98, 267-276, 2010. doi: 10.1016/j.bpj.2009.10.011.

  • AA Sher, MT Cooling, B Bethwaite, J Tan, T Peachey, C Enticott, S Garic, DJ Gavaghan, D Noble, D Abramson, E. Crampin. A global sensitivity tool for cardiac cell modeling: Application to ionic current balance and hypertrophic signaling. Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010, 1498-1502, 2010. doi: 10.1109/IEMBS.2010.5626841.

  • NJ Warren, E. Crampin, MH Tawhai. The role of airway epithelium in replenishment of evaporated airway surface liquid from the human conducting airways. Annals of Biomedical Engineering, 38, 3535-3549, 2010. doi: 10.1007/s10439-010-0111-6.

  • NJ Warren, MH Tawhai, E. Crampin. The effect of intracellular calcium oscillations on fluid secretion in airway epithelium. Journal of Theoretical Biology, 265, 270-277, 2010. doi: 10.1016/j.jtbi.2010.05.007.

  • NJ Warren, MH Tawhai, E. Crampin. Mathematical modelling of calcium wave propagation in mammalian airway epithelium: Evidence for regenerative ATP release. Experimental Physiology, 95, 232-249, 2010. doi: 10.1113/expphysiol.2009.049585.

  • A Muthukaruppan, BA Michael, LD Miller, Y Tamada, TM Allen, KJ Woad, Y Wang, E. Crampin, AN Shelling, CG Print. The role of oestrogen signalling in breast cancer. Annals of Oncology, 21, 54-55, 2010.

  • DS Loiselle, E. Crampin, SA Niederer, NP Smith, CJ Barclay. Energetic consequences of mechanical loads (vol 97, pg 348, 2008). Progress in Biophysics & Molecular Biology, 99, 114 (1pp), 2009. doi: 10.1016/j.pbiomolbio.2009.02.002.

  • SM Wimalaratne, MDB Halstead, CM Lloyd, MT Cooling, E. Crampin, PF Nielsen. A method for visualizing CellML models. Bioinformatics, 25, 3012-3019, 2009. doi: 10.1093/bioinformatics/btp495.

  • SM Wimalaratne, MDB Halstead, CM Lloyd, E. Crampin, PF Nielsen. Biophysical annotation and representation of CellML models. Bioinformatics, 25, 2263-2270, 2009. doi: 10.1093/bioinformatics/btp391.

  • MT Cooling, P Hunter, E. Crampin. Sensitivity of NFAT cycling to cytosolic calcium concentration: Implications for hypertrophic signals in cardiac myocytes. Biophysical Journal, 96, 2095-2104, 2009. doi: 10.1016/j.bpj.2008.11.064.

  • K. Tran, NP Smith, DS Loiselle, E. Crampin. A thermodynamic model of the cardiac sarcoplasmic/endoplasmic Ca 2+ (SERCA) pump. Biophysical Journal, 96, 2029-2042, 2009. doi: 10.1016/j.bpj.2008.11.045.

  • NJ Warren, MH Tawhai, E. Crampin. A Mathematical Model of Calcium-Induced Fluid Secretion in Airway Epithelium. Journal of Theoretical Biology, 259, 837-849, 2009. doi: 10.1016/j.jtbi.2009.04.026.

  • SM Wimalaratne, MDB Halstead, CM Lloyd, MT Cooling, E. Crampin, PF Nielsen. Facilitating modularity and reuse: Guidelines for structuring CellML 1.1 models by isolating common biophysical concepts. Experimental Physiology, 94, 472-485, 2009. doi: 10.1113/expphysiol.2008.045161.

  • MT Cooling, E. Crampin, PJ Hunter. Physiome Mark-up Languages for Systems Biology: Model Modularization and Re-use. 317-328, Academic Press, 2009. doi: 10.1016/B978-0-12-372550-9.00013-4.

  • K. Tran, Nicolas P Smith, Denis S Loiselle, E. Crampin. A model of the cardiac sarcoplasmic/endoplasmic reticulum calcium ATPASE (SERCA) that is sensitive to cellular energetics. Journal of Physiological Sciences, 59, 128 (1pp), 2009.

  • K. Tran, Nicolas P Smith, Denis S Loiselle, E. Crampin. An integrative computational model of cardiac myocyte energetics. Journal of Physiological Sciences, 59, 319 (1pp), 2009.

  • Vijay Rajagopal, Christian Soeller, E. Crampin, PJ Hunter. Developing a realistic 3d model of the ventricular cardiomyocyte. Journal of Physiological Sciences, 59, 260 (1pp), 2009.

  • Hurley Glyn Daniel, E. Crampin, Cristin G Print. Gene network inference in malignant melanoma. Journal of Physiological Sciences, 59, 445 (1pp), 2009.

  • Mike Cooling, Peter Hunter, E. Crampin. How modular modelling with CELLML drives insights. Journal of Physiological Sciences, 59, 354 (1pp), 2009.

  • NJ Warren, E. Crampin, MH Tawhai. Shear Stress, Intracellular Calcium, and Transepithelial Water Fluxes. American Journal of Respiratory and Critical Care Medicine, 179, 2009.

  • Jonna Terkildsen, Nicolas P Smith, E. Crampin. The mechanism of electrical alternans during cardiac ischemia: insights from a mathematical modelling study. Journal of Physiological Sciences, 59, 319 (1pp), 2009.

  • PJ Hunter, E. Crampin, PMF Nielsen. Bioinformatics, multiscale modeling and the IUPS Physiome Project. Briefings in Bioinformatics, 9, 333-343, 2008. doi: 10.1093/bib/bbn024.

  • MT Cooling, P Hunter, E. Crampin. Modelling biological modularity with CellML. IET Systems Biology, 2, 73-79, 2008. doi: 10.1049/iet-syb:20070020.

  • JR Terkildsen, S Niederer, E. Crampin, P Hunter, NP Smith. Using Physiome standards to couple cellular functions for rat cardiac excitation-contraction. Experimental Physiology, 93, 919-929, 2008. doi: 10.1113/expphysiol.2007.041871.

  • DS Loiselle, E. Crampin, SA Niederer, NP Smith, CJ Barclay. Energetic consequences of mechanical loads. Progress in Biophysics & Molecular Biology, 97, 348-366, 2008. doi: 10.1016/j.pbiomolbio.2008.02.015.

  • NP Smith, E. Crampin, SA Niederer, JB Bassingthwaighte, DA Beard. Computational biology of cardiac myocytes: proposed standards for the physiome. Journal of Experimental Biology, 210, 1576-1583, 2007. doi: 10.1242/jeb.000133.

  • J Srividhya, E. Crampin, PE McSharry, S Schnell. Reconstructing biochemical pathways from time course data. Proteomics, 7, 828-838, 2007. doi: 10.1002/pmic.200600428.

  • JR Terkildsen, E. Crampin, NP Smith. The balance between inactivation and activation of the Na+-K+ pump underlies the triphasic accumulation of extracellular K+ during myocardial ischemia. American Journal of Physiology - Heart and Circulatory Physiology, 293, H3036-H3045, 2007. doi: 10.1152/ajpheart.00771.2007.

  • M Cooling, P Hunter, E. Crampin. Modeling hypertrophic IP3 transients in the cardiac myocyte. Biophysical Journal, 93, 3421-3433, 2007. doi: 10.1529/biophysj.107.110031.

  • E Gin, E. Crampin, DA Brown, TJ Shuttleworth, DI Yule, J Sneyd. A mathematical model of fluid secretion from a parotid acinar cell. Journal of Theoretical Biology, 248, 64-80, 2007. doi: 10.1016/j.jtbi.2007.04.021.

  • E. Crampin, NP Smith. A dynamic model of excitation-contraction coupling during acidosis in cardiac ventricular myocytes. Biophysical Journal, 90, 3074-3090, 2006. doi: 10.1529/biophysj.105.070557.

  • J Wildenhain, E. Crampin. Reconstructing gene regulatory networks: From random to scale-free connectivity. IEE Proceedings of Systems Biology, 153, 247-256, 2006. doi: 10.1049/ip-syb:20050092.

  • I Barrass, E. Crampin, PK Maini. Mode transitions in a model reaction-diffusion system driven by domain growth and noise. Bulletin of Mathematical Biology, 68, 981-995, 2006. doi: 10.1007/s11538-006-9106-8.

  • E. Crampin, NP Smith, AE Langham, RH Clayton, CH Orchard. Acidosis in models of cardiac ventricular myocytes. Philosophical Transactions of the Royal Society of London Series A - Mathematical, Physical and Engineering Sciences, 364, 1171-1186, 2006. doi: 10.1098/rsta.2006.1763.

  • NP Smith, E. Crampin. Integrative models of pH regulation and intracellular Ca2+handling during cardiac acidosis. FASEB Journal, 20, A1299-A1300, 2006.

  • NL Novere, A Finney, M Hucka, US Bhalla, F Campagne, J Collado-Vides, E. Crampin, M Halstead, E Klipp, P Mendes, P Nielsen, H Sauro, B Shapiro, JL Snoep, HD Spence, BL Wanner, others. Minimum information requested in the annotation of biochemical models (MIRIAM). Nature Biotechnology, 23, 1509-1515, 2005. doi: 10.1038/nbt1156.

  • E. Crampin, N Smith. Integrative models of pH regulation and intracellular Ca2+ handling during acidosis in cardiac myocytes. Journal of Molecular and Cellular Cardiology, 39, 181 (1pp), 2005.

  • E. Crampin, NP Smith. A model of pH regulation and acidosis in the myocyte. FASEB Journal, 19, A694 (1pp), 2005.

  • SA Niederer, E. Crampin, NP Smith. Modelling the kinetics of Ca2+ and Mg2+ binding to cardiac troponin. FASEB Journal, 19, A559 (1pp), 2005.

  • E. Crampin, M Halstead, P Hunter, P Nielsen, D Noble, N Smith, M Tawhai. Computational physiology and the physiome project. Experimental Physiology, 89, 1-26, 2004. doi: 10.1113/expphysiol.2003.026740.

  • E. Crampin, S Schnell, PE McSharry. Mathematical and computational techniques to deduce complex biochemical reaction mechanisms. Progress in Biophysics & Molecular Biology, 86, 77-112, 2004. doi: 10.1016/j.pbiomolbio.2004.04.002.

  • NP Smith, DP Nickerson, E. Crampin, PJ Hunter. Multiscale computational modelling of the heart. Acta Numerica, 13, 371-431, 2004.

  • NP Smith, E. Crampin. Development of models of active ion transport for whole-cell modelling: cardiac sodium–potassium pump as a case study. Progress in Biophysics & Molecular Biology, 85, 387-405, 2004. doi: 10.1016/j.pbiomolbio.2004.01.010.

  • E. Crampin, NP Smith, PJ Hunter. Multi-scale modelling and the IUPS physiome project. Journal of Molecular Histology, 35, 707-714, 2004. doi: 10.1007/s10735-004-2676-6.

  • E. Crampin, PE McSharry, S Schnell. Extracting biochemical reaction kinetics from time series data. Knowledge-based Intelligent Information and Engineering Systems, Pt 2, Proceedings, 3214, 329-336, 2004.

  • E. Crampin, S Schnell. New approaches to modelling and analysis of biochemical reactions, pathways and networks. Progress in Biophysics & Molecular Biology, 86, 1-4, 2004. doi: 10.1016/j.pbiomolbio.2004.04.001.

  • NP Smith, E. Crampin, N P. Smith. Modelling cellular and tissue function. Progress in Biophysics & Molecular Biology, 85, 117-119, 2004. doi: 10.1016/j.pbiomolbio.2004.02.005.

  • E. Crampin, WW Hackborn, PK Maini. Pattern formation in reaction-diffusion models with nonuniform domain growth. Bulletin of Mathematical Biology, 64, 747-769, 2002. doi: 10.1006/bulm.2002.0295.

  • E. Crampin, EA Gaffney, PK Maini. Mode-doubling and tripling in reaction-diffusion patterns on growing domains: a piecewise linear model. Journal of Mathematical Biology, 44, 107-128, 2002. doi: 10.1007/s002850100112.

  • D Noble, Winslow, Ashburner, E. Crampin, Berridge. The heart cell in silico: Successes, failures and prospects. Novartis Foundation Symposium, 247, 182-197, 2002.

  • E. Crampin, PK Maini. Reaction-diffusion models for biological pattern formation. Methods and Applications of Analysis, 8, 415-428, 2001.

  • E. Crampin. Reaction-diffusion patterns on growing domains. University of Oxford, 2000.

  • E. Crampin, EA Gaffney, PK Maini. Reaction and diffusion on growing domains: Scenarios for robust pattern formation. Bulletin of Mathematical Biology, 61, 1093-1120, 1999. doi: 10.1006/bulm.1999.0131.

  • C Nguyen-van-Huong, E. Crampin, JY Laval, A Dubon. Incorporation of silver in DyBa2Cu3O7-δ ceramics. Correlation between superconducting properties and microstructure. Superconductor Science and Technology, 10, 85-94, 1997. doi: 10.1088/0953-2048/10/2/003.