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Virginia Tech

Understanding the dynamics of rhythmic gene expression in mammalian cells

Abstract

dc:description.abstract

In mammals, circadian rhythms are driven by a cell-autonomous core-clock mechanism consisting of over a dozen core-clock genes forming transcription-translation feedback loops. The core-clock mechanism also drives the rhythmic expression of downstream genes called clock-controlled genes, which are thought to be important for driving rhythmic biochemical and physiological processes. Mathematical models predict that for a gene to be rhythmically expressed, synthesis, degradation, or a combination of the two must be rhythmic. The purpose of this project was to investigate the contribution of synthesis and degradation of RNA to rhythmic gene expression. To systematically understand the contribution of synthesis, degradation, and other RNA dynamics to rhythmic gene expression, I used metabolic labeling and a novel computational pipeline to analyze transcriptomic data in synchronized NIH3T3 cells. I identified 685 rhythmically expressed RNAs with a period of 24-hour in my dataset, of those 389 were rhythmically synthesized and 24 were rhythmically degraded. Low amplitude degradation rhythms were detected more broadly in the 685 rhythmically expressed RNAs, but these were not statistically significant. Although synthesis was the primary driver of rhythmic 24-hour RNA expression, core-clock gene RNAs were regulated by both synthesis and degradation, presumably to sustain high amplitude of rhythmic expression. I also identified rhythmic RNA expression with a period of 12 and 8 hours; interestingly, degradation primarily drove rhythmic expression of these RNAs. Overall this dissertation revealed RNA dynamics that drive rhythmic gene expression. This will provide insights into how diverse circadian clock mechanisms ultimately drive tissue-specific rhythmic gene expression.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Biological Sciences
Department dc:contributor.department
Biological Sciences
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Unruh, Benjamin Alex
Chair dc:contributor.committeechair
  • Kojima, Shihoko
Committee members dc:contributor.committeemember
  • Zhang, Liqing
  • Hauf, Silke
  • Finkielstein, Carla V.

Subjects

dc:subject × 9

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:38190
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/115454

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Unruh, Benjamin Alex. Understanding the dynamics of rhythmic gene expression in mammalian cells. doctoral thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/115454