Author Archives: Edmund Crampin

New Preprint: Modelling the interaction between RyR and IP3R calcium release in cardiomyocytes

Calcium signalling plays a central role in heart cells. With each heart beat, calcium is released from intracellular stores (SR) via RyR channels to trigger contraction. However, calcium signalling is also implicated in controlling the growth of heart cells, as … Continue reading

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New Preprint: Development of a 3D computational model of calcium release in heart cells

Our new preprint on bioRXiv describes the development of a structurally realistic 3D computational model of a cardiomyocyte which we use to simulate reaction-diffusion of calcium release from RyR clusters during the initial phase of the cardiac calcium transient. We use … Continue reading

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The impact of mitochondrial organisation on heart cell bioenergetics – published in PLoS Computational Biology

Heart cells contain a high volume of mitochondria, which are necessary to generate the ATP energy supply that is needed to sustain normal heart function. Previously, mitochondria were understood to be arranged in a regular, crystalline pattern in heart cells … Continue reading

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Matt Faria – best paper award

Congratulations to Matt Faria – winner of a Best Paper award at the CNBS annual meeting for his paper ‘Minimum Information Reporting in Bio–Nano Experimental Literature’ Nature Nanotechnology 13, 777–785 (2018) http://doi.org/10.1038/s41565-018-0246-4

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New Preprint: Maintaining the stem cell niche in multicellular models of epithelia

Claire Miller’s new preprint is available now on arXiv. https://arxiv.org/abs/1811.10781 In epithelial tissues such as skin, stem cells divide in order to replace cells that are lost at the surface. The maintenance of the stem cell niche is therefore an … Continue reading

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New preprint: Corrected pair correlation functions for environments with obstacles

Stuart Johnston’s new #arxiv preprint on calculating measures of spatial correlation for environments containing obstacles: https://arxiv.org/abs/1811.07518

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Reference environments: A universal tool for reproducibility in computational biology

Reproducibility of scientific results, or lack thereof, has received increasing attention over recent years. Computational studies, by their nature, should be amongst the most reproducible. However it often proves to be a challenge to reproduce computational results, even when code … Continue reading

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