Protocadherin signaling in the central nervous system
Protocadherin signaling in the central nervous system
批准号:
7031401
负责人:
XIAOZHONG ALEC WANG
金额:
$33.18万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-01-01 至 2010-12-31
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The normal function of the brain relies on precise patterns of neuronal connections, and aberrant connectivity leads to human neurological and psychiatric disorders. The human brain consists of approximately 100 billion neurons with trillions of synapses. Because of the enormous neuronal diversity and staggering synaptic complexity, very little is known about the molecular mechanisms that lead to the assembly of specific synapses in different neuronal types. Protocadherin (Pcdh) genes (14 Pcdh-a, 22 Pcdh-fi and 22 Pcdh-y in mouse) are attractive candidates for such a role because they can potentially generate a significant number of cell-surface "codes" through a combination of cell-specific promoter activation and cis- alternative splicing. It has been suggested that the distinct combinatorial Pcdh expression patterns might specify neuronal types and their connectivity. To evaluate their roles in neural development, we initiated functional analyses of these genes using genetically modified mice. Our analyses on Pcdh-j mutant mice provide the first in vivo evidence that protocadherins are essential for vertebrate CNS development and play an important role in establishing neuronal connectivity. However, Pcdh-y's function during synaptic development is not well defined and its molecular mechanisms of action are completely unknown. We plan to combine molecular and genetic approaches to further our understanding of Pcdh-y's functions. Specifically, we propose 1) to investigate the rules of expression for individual isoforms of Pcdh-y; 2) to define the role of Pcdh-y's diversity; and 3) to identify and characterize the signaling components of Pcdh-y. The attainment of these goals will shed light on our understanding of the molecular basis for the precision and complexity of neuronal circuitry in the brain.
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