RIKEN Brain Science Institute (RIKEN BSI) Brain Science Institute



Understanding Neurological Functions through the Behavior of Molecules

Dr. Ryoji Yano
Head, Laboratory for Cellular Information Processing

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Fig.1 Cerebellar Purkinje cell




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Fig.2 Cerebellar Purkinje cell and its synapse


The organism body is composed of various types of molecules, such as protein, nucleic acid, lipid, as well as others. The neural system too, including the brain and the spinal cord, is composed of these molecules and the so-called higher functions such as memory, learning and recognition, are actualized by the behavior of these molecules. Therefore, by understanding the behavior of these molecules, it is possible to elucidate the mechanisms of the higher functions performed in the central nervous system. In the central nervous system, neurons make contacts with each another to constitute a neuronal pathway for information processing. Therefore, the properties of each neural pathway are determined by the properties of neurons that constituting it. For example, plastic changes in information processing in the neural network such as memory and learning occur because of the changes in neuronal properties for efficient signal transmission. So, what is the molecular mechanism that determines the properties of information processing in such neurons? So far, various molecules involved in the brain functions have been identified and their functions as well have been elucidated, using biochemical, molecular biological methods, and others. The development of the molecular biological method in recent years has resulted in better understanding of information processing. It has become clear that cellular information processing is supported mainly through information exchange among adjacent molecules and there is a functional subarea (domain) where many kinds of molecules gather to conduct centralized information processing. Inside cells, various domains with different molecular structures and functions are formed in locations, and the exchange of information and molecules among these domains maintain the structure and function of the entire cell. Particularly in neurons, these functional domains develop remarkably to enable efficient processing of complicated information. Fig.1 shows a photograph of a cerebellar Purkinje cell, one of the largest neurons in the brain. As it shows, neurons are composed of dendrites, a cell body and an axon. Neurons receive information with there dendrites, and process it through various compartments in the cell body, and then transmit to the next cell. As for these dendrites, cell bodies, and axons, though it has been thought that each of them is a large functional domain, they are actually composed of smaller domains. Among these domains, the one called "postsynaptic structure" has been widely noticed in recent years. Neurons form synapses at the dendrites with axons reaching out from the previous neuron in the neural pathway, in order to receive information. Inside neurons, information is transmitted in electric signals based on changes in the membrane potential, while in synapses neural cells do not connect directly to each other and there is a gap called a"synaptic cleft". At synaptic cleft, electric signals are temporarily replaced with chemical molecular signals (neurotransmitters) and transmitted to the postsynaptic cell. Then, peculiar mechanisms work in the presynaptic structure for the release of the transmitters and in the postsynaptic structure for the reception of the transmitters respectively. Fig. 2 is an enlarged area of the Purkinje cell dendrite, in which numerous small projections can be observed. These projections are called "spines", where the Purkinje cell receives information from the presynaptic cell. There are 100,000 to 200,000 spines on one cell and the information received here is processed inside the cell. Inside these spines, a postsynaptic structure is formed to receive information and transmit it into the cell. Enlarging this part further with an electron microscope, a distinctive structure can be observed as shown in Fig. 3.


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Fig.3 Synaptic microstructure(electron micrograph)


-- What is distinctive in the presynaptic structure is spherical synaptic vesicles, in which neurotransmitters are accumulated and released to the synaptic cleft according to the electric signals transmitted through the axon. There is a black high-density area in the postsynaptic structure, and it is called the"postsynaptic density (PSD)", the central structure which receives the information of neurotransmitters. This structure contains receptors which bind to neurotransmitters, enzymes that control the function of the receptors, signal transduction molecules that transmit the signals from the receptors into the cell, adhesive molecules that maintain the synaptic structure, as well as others. It is postulated that there are more than 30 kinds of molecules gathered within this structure. Though the functions of each individual molecule in this structure have not been confirmed, the mechanism of the formation and maintenance of the structure has become clear and well studied in recent years. There are various kinds of neurotransmitters such as amino acids and peptides, each of which has its peculiar receptor. As for glutamic acid, one of the major neurotransmitters of the central nervous system, there are various kinds of receptors that bind to it and show different reactions upon the binding. Among these receptors, some show the function of a channel that filters ions and such receptors are the ones that convert the information of neurotransmitters directly into electric signals.

On the other hand, receptors that control cellular information processing mechanisms such as the phosphorylation of proteins do not have the channel function, although they are receptors for the same neurotransmitters. However, these receptors are related with one another in the same postsynaptic structure while receiving information from the presynaptic cell. For example, it has become clear that the property of inotropic receptors is changed by signals that passed through other receptors. And such change in the response of receptors to signals due to stimulus from outside the cell is supposed to create plastic change in signal transmission among neurons and resulting in the basic process for learning and memory. Therefore, it is necessary that different types of receptors and molecules that process signals of the receptors should be gathered and arranged properly in the postsynaptic density. Recently, the molecules that are involved in the arrangement of these receptors have been discovered successively and this lead to better understanding of the structure inside the postsynaptic density.
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Fig.4 Molecular components around synapse

Fig. 4 is a schema showing the relation between these molecules and receptors that has so far been made clear. Our laboratory is conducting identification of the molecules working in synapse formation and information processing in cerebellar Purkinje cells and granule cells, as well as the analysis of their functions. Among these molecules, some are supposed to bind with receptors and take part in their localization, and some others may process dual functions by converting between function as an adhesion molecule or as a growth factor according to the signals. The molecules working in such synapses will be identified and the mechanism for organizing these molecules will also be uncovered in future. As described above, it is obvious that the cell-interior, which has so far been thought to be a container full of molecules, is actually having a properly ordered structure and the functional domains interact with one another to actualize the functions as a cell. In addition, it is also becoming clear that molecules in these domains interact with each other to dynamically change their structures and functions. Such change occurs in neural cells in order to change the properties of cellular information exchange. This is supposed to be the mechanism in which the higher functions of the central nervous system such as neural plasticity are based upon.
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