Modulation of touch sensitivity in Caenorhabditis elegans
type: CreativeWork
description: Sensory perception adapts to diverse environment. Although studies in the last few decades have started to address the question of how sensory systems transduce signals, how these systems cross-modulated is largely unknown. In this thesis, I study mechanosensation in the C. elegans touch receptor neurons (TRNs) to understand how sensory systems are modulated and adapt to the environment. I find that the touch sensitivity in the TRNs is modulated by both mechanical and non-mechanical factors. The mechanical factors are transduced directly by a secondary mechanosensory system in the TRNs, and the non-mechanical factors are detected by other neurons and relayed to the TRNs by neuropeptides. Both pathways converge through a common mechanism to regulate the surface expression of the MEC-4 mechanotransduction channels, which are needed for sensing touch. I then explore the consequences of modulation, and show that modulation by mechanical and non-mechanical factors adjusts the balance between the sensitivity to strong mechanical stimuli that predict dangers and sensitivity to weak stimuli that are usually not associated with danger. Such a balance maintains sensitivity to biologically-relevant mechanical stimuli while reducing unnecessary responses to weak stimuli, thus increasing the ability to survive under different conditions. I used neuronal-enhanced RNAi and mosaic analysis to discover two convergent signaling pathways, the integrin/focal adhesion signaling and insulin signaling, that modulate anterior touch sensitivity. Additional genes and pathways are also needed for optimal touch sensitivity in the TRNs, including the RAS/MAPK pathway, Rho-GTPases, cytoskeleton genes, and 43 other genes that cause lethality when mutated. The integrins/focal adhesion proteins act cell-autonomously in the TRNs to detect the mechanical environment. The focal adhesion proteins modulate force sensitivity and subsequent calcium signaling, and they are needed for long-term sensitizatio…
abstract: Sensory perception adapts to diverse environment. Although studies in the last few decades have started to address the question of how sensory systems transduce signals, how these systems cross-modulated is largely unknown. In this thesis, I study mechanosensation in the C. elegans touch receptor neurons (TRNs) to understand how sensory systems are modulated and adapt to the environment. I find that the touch sensitivity in the TRNs is modulated by both mechanical and non-mechanical factors. The mechanical factors are transduced directly by a secondary mechanosensory system in the TRNs, and the non-mechanical factors are detected by other neurons and relayed to the TRNs by neuropeptides. Both pathways converge through a common mechanism to regulate the surface expression of the MEC-4 mechanotransduction channels, which are needed for sensing touch. I then explore the consequences of modulation, and show that modulation by mechanical and non-mechanical factors adjusts the balance between the sensitivity to strong mechanical stimuli that predict dangers and sensitivity to weak stimuli that are usually not associated with danger. Such a balance maintains sensitivity to biologically-relevant mechanical stimuli while reducing unnecessary responses to weak stimuli, thus increasing the ability to survive under different conditions. I used neuronal-enhanced RNAi and mosaic analysis to discover two convergent signaling pathways, the integrin/focal adhesion signaling and insulin signaling, that modulate anterior touch sensitivity. Additional genes and pathways are also needed for optimal touch sensitivity in the TRNs, including the RAS/MAPK pathway, Rho-GTPases, cytoskeleton genes, and 43 other genes that cause lethality when mutated. The integrins/focal adhesion proteins act cell-autonomously in the TRNs to detect the mechanical environment. The focal adhesion proteins modulate force sensitivity and subsequent calcium signaling, and they are needed for long-term sensitizatio…
author: Chen, Xiaoyin
language: English
keywords: Neurosciences, Genetics, Biology
date published: 2013
date modified: 2026-07-24T01:44:25Z
provider: Columbia University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Columbia University

PropertyValue
property ID: DOI
value: 10.7916/D83F4WQ4