秀丽隐杆线虫神经元信号传导的“蒙在鼓里”。

Paul DE Williams, Jeffrey A Zahratka, Bruce A Bamber
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引用次数: 1

摘要

秀丽隐杆线虫是研究行为的神经和生物化学基础的强大模型。它结合了一个小的、完全映射的神经系统、强大的遗传工具和透明的角质层,使Ca++成像无需解剖。然而,这些方法距离单个神经元的直接药理学和生理学表征还有一步之遥。通过“深入引擎盖”或破坏角质层并直接研究神经元,仍然可以学到很多东西。例如,我们最近结合了电生理学、Ca++成像和对部分解剖的ASH伤害感受器的药理学分析,表明血清素(5-HT)通过抑制Ca++内流来增强去极化。这项研究挑战了Ca++瞬态振幅和去极化强度正相关的默认假设,并验证了解释Ca++信号的新范式。绕过角质层对这些实验的成功至关重要,不仅对进行电记录,而且对药物的急性和可逆应用也是如此。相比之下,药物浸泡或突变基因可以产生长期影响和补偿性变化,可能会显著混淆解释。因此,直接研究单个神经元的生理反应仍然是一个关键目标,以提供补充全局Ca++成像神经网络研究的关键分子见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

"Getting Under the Hood" of Neuronal Signaling in <i>Caenorhabditis elegans</i>.

"Getting Under the Hood" of Neuronal Signaling in <i>Caenorhabditis elegans</i>.

"Getting Under the Hood" of Neuronal Signaling in Caenorhabditis elegans.

Caenorhabditis elegans is a powerful model to study the neural and biochemical basis of behavior. It combines a small, completely mapped nervous system, powerful genetic tools, and a transparent cuticle, allowing Ca++ imaging without the need for dissection. However, these approaches remain one step removed from direct pharmacological and physiological characterization of individual neurons. Much can still be learned by "getting under the hood" or breaching the cuticle and directly studying the neurons. For example, we recently combined electrophysiology, Ca++ imaging, and pharmacological analysis on partially dissected ASH nociceptors showing that serotonin (5-HT) potentiates depolarization by inhibiting Ca++ influx. This study challenges the tacit assumption that Ca++ transient amplitudes and depolarization strength are positively correlated and has validated a new paradigm for interpreting Ca++ signals. Bypassing the cuticle was critical for the success of these experiments, not only for performing electrical recordings but also for the acute and reversible application of drugs. By contrast, drug soaking or mutating genes can produce long-term effects and compensatory changes, potentially confounding interpretations significantly. Therefore, direct studies of the physiological response of individual neurons should remain a critical objective, to provide key molecular insights complementing global Ca++ imaging neural network studies.

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