Cell-surface proteome and signaling in neural circuit wiring

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Abstract/Contents

Abstract
In the evolutionary transition from unicellular to multicellular organisms, single cells assemble into highly organized tissues and cooperatively carry out physiological functions. To act as an integrated system, individual cells communicate with each other extensively through signaling at the cellular interface. Cell-surface signaling thus controls almost every aspect of the development and physiology of multicellular organisms. Taking the nervous system as an example, cell-surface wiring molecules dictate the precise assembly of the neural network during development, while neurotransmitter receptors and ion channels mediate synaptic transmission and plasticity in adults. Delineating the cell-surface signaling is therefore crucial for understanding the organizing principles and operating mechanisms of multicellular systems. My dissertation research integrates method development and mechanistic interrogation to investigate cell-surface signaling in neural circuit assembly. My collaborators and I developed, for the first time to my knowledge, a method for quantitatively profiling cell-surface proteomes in intact tissues with cell-type and spatiotemporal specificities. Applying this method to Drosophila olfactory projection neurons (PNs), I captured cell-surface proteomes of developing and mature PNs and observed globally coordinated dynamics of PN surface proteins corresponding to the wiring and functional stages of the olfactory circuit, providing the first systemic view on how neuronal surface evolves in development. A proteome-instructed in vivo screen identified 20 new cell-surface molecules regulating neural circuit assembly, many of which belong to evolutionarily conserved protein families not previously linked to neural development. These discoveries highlight the power of this new method in uncovering new regulators of brain wiring. Notably, this method should be readily applicable for profiling proteins on the surface of other cell types, tissues, and organisms, far beyond the fly olfactory circuit. In a complementary set of studies on the Plexin B receptor, I developed a generalizable protein tagging approach that reveals cell-type-specific endogenous protein distribution in vivo. Combining this tagging approach and genetic analyses, we found that the Plexin B receptor uses multiple molecular strategies: temporally-regulated protein distribution, level-dependent signaling, and divergent engagement of signaling motifs, to sequentially instruct several distinct steps of axon targeting. These include axon-axon interaction, axon guidance, and synaptic partner selection. Our findings illustrate how a single molecule achieves multi-functionality while preserving its signal specificity in brain wiring. In summary, this dissertation combines quantitative multi-omic profiling and in vivo mechanistic interrogation to elucidate the systemic properties and molecular bases of cell-surface signaling underlying the precise wiring of neural circuits

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Li, Jiefu
Degree supervisor Luo, Liqun, 1966-
Thesis advisor Luo, Liqun, 1966-
Thesis advisor Clandinin, Thomas R. (Thomas Robert), 1970-
Thesis advisor Garcia, K. Christopher
Thesis advisor Shen, Kang, 1972-
Thesis advisor Simon, Michael, (Biology professor)
Degree committee member Clandinin, Thomas R. (Thomas Robert), 1970-
Degree committee member Garcia, K. Christopher
Degree committee member Shen, Kang, 1972-
Degree committee member Simon, Michael, (Biology professor)
Associated with Stanford University, Department of Biology.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Jiefu Li
Note Submitted to the Department of Biology
Thesis Thesis Ph.D. Stanford University 2020
Location electronic resource

Access conditions

Copyright
© 2020 by Jiefu Li
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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