Caruso Giovanni, Klaus Colin, Hamm Heidi E, Gurevich Vsevolod V, Bisegna Paolo, Andreucci Daniele, DiBenedetto Emmanuele, Makino Clint L
Italian National Research Council, Istituto di Scienze del Patrimonio Culturale, Rome, Italy.
The College of Public Health Division of Biostatistics and The Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, United States.
Front Mol Neurosci. 2023 Jan 13;15:1054449. doi: 10.3389/fnmol.2022.1054449. eCollection 2022.
Retinal rods evolved to be able to detect single photons. Despite their exquisite sensitivity, rods operate over many log units of light intensity. Several processes inside photoreceptor cells make this incredible light adaptation possible. Here, we added to our previously developed, fully space resolved biophysical model of rod phototransduction, some of the mechanisms that play significant roles in shaping the rod response under high illumination levels: the function of RGS9 in shutting off G protein transducin, and calcium dependences of the phosphorylation rates of activated rhodopsin, of the binding of cGMP to the light-regulated ion channel, and of two membrane guanylate cyclase activities. A well stirred version of this model captured the responses to bright, saturating flashes in WT and mutant mouse rods and was used to explain "Pepperberg plots," that graph the time during which the response is saturated against the natural logarithm of flash strength for bright flashes. At the lower end of the range, saturation time increases linearly with the natural logarithm of flash strength. The slope of the relation (τ) is dictated by the time constant of the rate-limiting (slowest) step in the shutoff of the phototransduction cascade, which is the hydrolysis of GTP by transducin. We characterized mathematically the X-intercept ( ) which is the number of photoisomerizations that just saturates the rod response. It has been observed that for flash strengths exceeding a few thousand photoisomerizations, the curves depart from linearity. Modeling showed that the "upward bend" for very bright flash intensities could be explained by the dynamics of RGS9 complex and further predicted that there would be a plateau at flash strengths giving rise to more than ~10 photoisomerizations due to activation of all available PDE. The model accurately described alterations in saturation behavior of mutant murine rods resulting from transgenic perturbations of the cascade targeting membrane guanylate cyclase activity, and expression levels of GRK, RGS9, and PDE. Experimental results from rods expressing a mutant light-regulated channel purported to lack calmodulin regulation deviated from model predictions, suggesting that there were other factors at play.
视网膜视杆细胞进化到能够检测单个光子。尽管它们具有极高的灵敏度,但视杆细胞能在多个光强对数单位下工作。光感受器细胞内的几个过程使得这种令人难以置信的光适应成为可能。在这里,我们在之前开发的、完全空间分辨的视杆细胞光转导生物物理模型中,加入了一些在高光照水平下对视杆细胞反应形成起重要作用的机制:RGS9在关闭G蛋白转导素中的作用,以及活化视紫红质磷酸化速率、cGMP与光调节离子通道结合以及两种膜鸟苷酸环化酶活性的钙依赖性。该模型的一个充分搅拌版本捕捉了野生型和突变型小鼠视杆细胞对明亮、饱和闪光的反应,并用于解释“佩珀伯格图”,该图绘制了响应饱和的时间与明亮闪光强度的自然对数的关系。在该范围的低端,饱和时间随闪光强度的自然对数线性增加。该关系的斜率(τ)由光转导级联关闭中限速(最慢)步骤的时间常数决定,即转导素对GTP的水解。我们从数学上表征了X轴截距( ),它是刚好使视杆细胞反应饱和的光异构化数量。据观察,对于超过几千次光异构化的闪光强度,曲线会偏离线性。建模表明,非常明亮闪光强度下的“向上弯曲”可以用RGS9复合物的动力学来解释,并进一步预测,由于所有可用磷酸二酯酶(PDE)的激活,在产生超过约10次光异构化的闪光强度处会有一个平台期。该模型准确描述了由于针对膜鸟苷酸环化酶活性、GRK、RGS9和PDE的表达水平对级联进行转基因扰动而导致的突变小鼠视杆细胞饱和行为的改变。表达一种据称缺乏钙调蛋白调节的突变型光调节通道的视杆细胞的实验结果与模型预测偏差,表明还有其他因素在起作用。