Dynamical differences in rod and cone photoresponses

IF 1.9 4区 数学 Q2 BIOLOGY
Miguel Castillo García, Eugenio Urdapilleta
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引用次数: 0

Abstract

Understanding how photoreceptor cells respond to light is crucial for comprehending the intricacies of vision. These cells, known as rods and cones, play a pivotal role as they convert light into electrical signals that the brain can interpret. If these cells share this exquisite machinery, how can photoresponses be so different? In this work, we study the factors influencing the dynamics of photoreceptor responses. Based on a detailed model of the underlying biochemical steps, we analyzed the impact of various processes on the response, with particular emphasis on the cyclase feedback. Our study focused on the transition between monophasic and biphasic regimes in photoreceptor responses. Critically, the influence of intracellular messengers’ turnover rates, such as for Ca2+ and cGMP, initial concentrations, maximum currents, and the modulation by other parameters was studied in depth. By analyzing both dark-adapted and light-adapted responses for rods and cones, we highlighted the importance of Ca2+ concentration and the cGMP turnover in darkness to determine bi- or mono-phasic responses. Through this systematic exploration, we aimed to provide valuable insights about the underlying mechanisms driving the dynamic behavior of photoresponses and to answer why similar experiments give rise to different dynamical behaviors.
杆状和锥状光响应的动态差异
了解光感受器细胞对光的反应对于理解视觉的复杂性至关重要。这些细胞被称为视杆细胞和视锥细胞,它们在将光转换成大脑可以理解的电信号方面发挥着关键作用。如果这些细胞共享这种精致的机制,那么光反应怎么会如此不同呢?在这项工作中,我们研究了影响光感受器反应动力学的因素。基于潜在生化步骤的详细模型,我们分析了各种过程对反应的影响,特别强调环化酶反馈。我们的研究集中在光感受器反应的单相和双相状态之间的过渡。关键的是,细胞内信使的周转率的影响,如Ca2+和cGMP,初始浓度,最大电流和其他参数的调制进行了深入研究。通过分析杆状细胞和视锥细胞的暗适应和光适应反应,我们强调了Ca2+浓度和cGMP在黑暗中的转换对确定双相或单相反应的重要性。通过这种系统的探索,我们旨在提供有关驱动光响应动态行为的潜在机制的有价值的见解,并回答为什么类似的实验会产生不同的动态行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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