Cellular and Molecular Regulation of Neural Populations in the Developing Peripheral Nervous System

Doctoral Dissertation
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Abstract

The nervous system is an expansive network of neurons and glia that is essential for health. Although vast, the system can be segregated into two main parts: the central nervous system (CNS) and the peripheral nervous system (PNS). The PNS is then further divided into the somatic nervous system and the autonomic nervous system. Together, these peripheral systems control responses to external stimuli and organ function, respectively. In order to enact their control, neurons provide signaling throughout the body while glia serve in several necessary modulatory capacities. Given the extensive roles of the PNS in daily health and activities, it is thus prudent to understand the cellular and molecular regulators that guide its development. In this dissertation, we use super-resolution confocal time-lapse imaging, pharmacological manipulation, and mutant genesis in a zebrafish model to address this need twofold. First, we study the somatosensory system by elucidating the molecular mechanisms that guide sensory axon growth cone navigation and entry into the spinal cord. This work establishes a connection between molecules and actin stabilization in the growth cone to complete circuit development. Second, we investigate the autonomic nervous system and identify a novel glial population in the heart, which ultimately regulates cardiac function. Taken together, these findings expand upon our understanding of neuronal and glial development in the periphery.

Attributes

Attribute NameValues
Author Nina Kikel-Coury
Contributor Cody Smith, Research Director
Degree Level Doctoral Dissertation
Degree Discipline Biological Sciences
Degree Name Doctor of Philosophy
Banner Code
  • PHD-BIOS

Defense Date
  • 2021-09-02

Submission Date 2021-10-13
Subject
  • Cardiac Nexus Glia

  • Glia

  • Axon Development

  • Neurobiology

  • Peripheral Nervous System

Record Visibility Public
Content License
  • All rights reserved

Departments and Units
Catalog Record

Digital Object Identifier

doi:10.7274/hx11xd10t7v

This DOI is the best way to cite this doctoral dissertation.

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