This is a schematic of paAIP2. LOV2-J? domain derived from phototropin1 was fused to autocamtide-2 related inhibitory peptide 2 (AIP2). The blue light absorption causes a reversible conformational change of LOV2 domain, leading to dissociation of the J? helix-AIP2. The structurally released AIP2 binds to the kinase domain of CaMKII and inhibits its kinase activity.
Credit: Max Planck Florida Institute for Neuroscience
As we learn, the structure of individual neurons in our brains change to strengthen important connections and weaken less important ones, a process known as structural plasticity. In Ryohei Yasuda’s laboratory at Max Planck Florida Institute for Neuroscience (MPFI), researchers are studying how the many molecules inside neurons work together to make these structural changes happen. One of the most well-studied forms of these changes, long-term potentiation (LTP), is triggered by complex signaling mechanisms in small compartments called dendritic spines. Neurons receive information from other neurons at dendritic spines, and when a specific spine is stimulated, it grows, and the connection between the neurons strengthens. The structural plasticity of dendritic spines is considered a fundamental mechanism of the brain’s ability to learn and remember.
Building on the concepts of optogenetics, a technique used to study neurons by controlling their activity using light, Dr. Myung Shin, a post-doctoral researcher in the Yasuda Lab, collaborated with Dr. Hideji Murakoshi, a former postdoctoral researcher in the Yasuda Lab and now an associate professor at the National Institute for Physiological Sciences, to develop a new photo-inducible CaMKII inhibitor, or photoactivatable autocamtide inhibitory peptide 2 (paAIP2). By using this inhibitor, they can now precisely measure the temporal window of CAMKII activity required for synaptic plasticity.
The Yasuda team demonstrated that inhibiting CaMKII during stimulation for approximately 1 minute inhibits spine growth and strengthening of the synapse during LTP. However, when inhibiting CaMKII with 1 minute of delay, the neuron showed normal LTP, confirming the previous results that CaMKII activation lasts for 1 minute. The team also tested the CaMKII activity necessary for animal learning and memory. To do so, they placed a mouse in a bright room, connected to a dark room through a hole in the wall, and then trained the mouse to avoid the dark room by administering a small electrical shock whenever it entered the dark room. They found that inhibiting CaMKII activity in the amygdala during training inhibited this fear learning. However, inhibiting CaMKII after the training did not affect the learning. Thus, this study demonstrated that CaMKII is necessary only for a short period of time for LTP and animal learning.
In summary, they applied this tool in several forms of synaptic plasticity and one form of learning and demonstrated its usefulness for dissecting the temporal window of CaMKII activation necessary for these CaMKII-dependent phenomena. This study was published in the journal Neuron in March 2017.
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“This new tool has many potential applications in research,” said Dr. Shin as she explained that she anticipates other laboratories will be able to use this inhibitor for a wide range of studies. paAIP2 is very specific and able to give the researcher second to minute temporal resolution. Plus, it is reversible. Turn off the light stimulation, the inhibitor is switched off within a minute and the cells go back to functioning normally. “One of our potential future directions is to combine this inhibitor with signaling biosensors,” explained Dr. Yasuda. “Combining these approaches, we should be able to determine the temporal requirements of CaMKII activation for various downstream signaling molecules.”
Source: Max Planck Florida Institute for Neuroscience
Hideji Murakoshi, Myung Eun Shin, Paula Parra-Bueno, Erzsebet Szatmari, Akihiro C. E. Shibata, and Ryohei Yasuda. Kinetics of endogenous CaMKII required for synaptic plasticity revealed by optogenetic kinase inhibitor. Neuron, , 2017; 2 (1) DOI: 10.1016/j.neuron.2017.02.036