Centre for Neurosciences, Indian Institute of Science, Bangalore, 560012, India.
Mol Brain. 2021 Jun 29;14(1):102. doi: 10.1186/s13041-021-00798-3.
Identification of neurons undergoing plasticity in response to external stimuli is one of the pertinent problems in neuroscience. Immediate early genes (IEGs) are widely used as a marker for neuronal plasticity. Here, we model the dynamics of IEG expression as a consecutive, irreversible first-order reaction with a limiting substrate. First, we develop an analytical framework to show that such a model, together with two-photon in vivo imaging of IEG expression, can be used to identify distinct neuronal subsets representing multiple memories. Using the above combination, we show that the expression kinetics, rather than intensity threshold, can be used to identify neuronal ensembles responding to the presentation of two events in vivo. The analytical expression allowed us to segregate the neurons based on their temporal response to one specific behavioural event, thereby improving the ability to detect plasticity related neurons. We image the retrosplenial cortex (RSc) of cfos-GFP transgenic mice to follow the dynamics of cellular changes resulting from contextual fear conditioning behaviour, enabling us to establish a representation of context in RSc at the cellular scale following memory acquisition. Thus, we obtain a general method that distinguishes neurons that took part in multiple temporally separated events by measuring fluorescence of individual neurons in live mice.
鉴定对外界刺激产生可塑性的神经元是神经科学的一个重要问题。早期基因(IEGs)被广泛用作神经元可塑性的标志物。在这里,我们将 IEG 表达的动力学建模为具有限制底物的连续不可逆的一级反应。首先,我们开发了一个分析框架,表明这样的模型,结合 IEG 表达的双光子在体成像,可以用于识别代表多个记忆的不同神经元亚群。使用上述组合,我们表明表达动力学而不是强度阈值可用于鉴定体内两个事件呈现时响应的神经元集合。分析表达式允许我们根据神经元对特定行为事件的时间响应进行分组,从而提高检测与可塑性相关的神经元的能力。我们对 cfos-GFP 转基因小鼠的后穹窿皮层(RSc)进行成像,以追踪由于情境性恐惧条件反射行为而导致的细胞变化的动力学,从而使我们能够在记忆获得后,在细胞尺度上建立 RSc 中情境的表示。因此,我们通过测量活小鼠中单个神经元的荧光获得了一种通用的方法,该方法可区分参与多个时间分离事件的神经元。