Louch William E, Perdreau-Dahl Harmonie, Edwards Andrew G
Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.
K.G. Jebsen Centre for Cardiac Research, University of Oslo, Oslo, Norway.
Front Physiol. 2022 Mar 8;13:834211. doi: 10.3389/fphys.2022.834211. eCollection 2022.
Complementary developments in microscopy and mathematical modeling have been critical to our understanding of cardiac excitation-contraction coupling. Historically, limitations imposed by the spatial or temporal resolution of imaging methods have been addressed through careful mathematical interrogation. Similarly, limitations imposed by computational power have been addressed by imaging macroscopic function in large subcellular domains or in whole myocytes. As both imaging resolution and computational tractability have improved, the two approaches have nearly merged in terms of the scales that they can each be used to interrogate. With this review we will provide an overview of these advances and their contribution to understanding ventricular myocyte function, including exciting developments over the last decade. We specifically focus on experimental methods that have pushed back limits of either spatial or temporal resolution of nanoscale imaging (e.g., DNA-PAINT), or have permitted high resolution imaging on large cellular volumes (e.g., serial scanning electron microscopy). We also review the progression of computational approaches used to integrate and interrogate these new experimental data sources, and comment on near-term advances that may unify understanding of the underlying biology. Finally, we comment on several outstanding questions in cardiac physiology that stand to benefit from a concerted and complementary application of these new experimental and computational methods.
显微镜技术和数学建模的互补性发展对于我们理解心脏兴奋-收缩偶联至关重要。从历史上看,成像方法在空间或时间分辨率上的局限性一直通过细致的数学分析来解决。同样,计算能力的局限性则通过对大的亚细胞区域或整个心肌细胞的宏观功能成像来解决。随着成像分辨率和计算可处理性的提高,这两种方法在可用于研究的尺度方面几乎已经融合。在这篇综述中,我们将概述这些进展及其对理解心室肌细胞功能的贡献,包括过去十年中的激动人心的发展。我们特别关注那些突破了纳米级成像(例如DNA-PAINT)的空间或时间分辨率限制,或者允许对大的细胞体积进行高分辨率成像(例如连续扫描电子显微镜)的实验方法。我们还回顾了用于整合和分析这些新实验数据源的计算方法的进展,并对可能统一对基础生物学理解的近期进展进行评论。最后,我们对心脏生理学中的几个突出问题发表评论,这些问题有望从这些新的实验和计算方法的协同和互补应用中受益。