Visualizing individual neurons and their synaptic distributions in the mouse brain

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Abstract/Contents

Abstract
The mammalian nervous system consists of billions of neurons arranged into complicated networks (neuronal circuits) that mediate all aspects of brain function and behavior. A fundamental goal of neuroscience is to describe the structure of neural circuits at the level of single cells and to understand how this structure enables information acquisition, processing, storage, and ultimately the control of behavior. Over the past hundred years, the cumulative efforts of many individuals have led to the development of a wide array of neuronal labeling tools. First, in this thesis, with the ultimate goal of further expanding genetically coded labeling tools to visualize the presynaptic distribution in single neurons within the mouse brain in vivo, I developed a new genetic synaptic labeling method and used it to analyze the spatial patterning of synapses in developing and mature cerebellar granule. Second, taking the advantage of the MADM system that allows gene knockout in single cells and simultaneously labeling the cells for morphology characterization, I also utilized MADM to study the function of the Rai1 gene, heterozygosity of which results in Smith-Magenis Syndrome in human.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Li Ling
Associated with Stanford University, Department of Biology.
Primary advisor Luo, Liqun, 1966-
Thesis advisor Luo, Liqun, 1966-
Thesis advisor McConnell, Susan K
Thesis advisor Raymond, Jennifer L
Thesis advisor Shen, Kang, 1972-
Advisor McConnell, Susan K
Advisor Raymond, Jennifer L
Advisor Shen, Kang, 1972-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Li Ling.
Note Submitted to the Department of Biology.
Thesis Ph.D. Stanford University 2010
Location electronic resource

Access conditions

Copyright
© 2010 by Li Ling
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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