Post-transcriptional control of gene expression

Gene expression describes the process of making functional gene products (e.g. proteins or special RNAs) from instructions encoded in the genetic information (e.g. DNA). This process is heavily regulated, allowing cells to produce the appropriate gene products necessary for cell survival, adapting production as necessary for different cell environments. Gene expression is subject to regulation at several levels, including transcription, mRNA degradation, translation and protein degradation. When intact, this system maintains cell homeostasis, keeping the cell alive and adaptable to different environments. Malfunction in the system can result in disease states and cell death. In this dissertation, we explore several aspects of gene expression control by analyzing data from biological experiments. Most of the work following uses a common mathematical model framework based on Markov chain models to test hypotheses, predict system dynamics or elucidate network topology. Our work lies in the intersection between mathematics and biology and showcases the power of statistical data analysis and math modeling for validation and discovery of biological phenomena.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Universität Potsdam

Year

2016

Author dc:creator

• Sin, Celine

Contributors dc:contributor

• Valleriani, Angelo

• mRNA degradation
• protein degradation
• gene expression control
• mathematical modeling
• stochastic modeling
• data analysis and statistics
• next generation sequencing (NGS)
• ribosome
• Datenanalyse und Statistik
• Regulierung der Genexpression
• mRNA Degradierung
• mathematisches Modellierung
• Proteindegradierung
• Ribosom
• stochastische Modellierung

Statement dc:rights

• Keine öffentliche Lizenz: Unter Urheberrechtsschutz

Repository record source_url

https://publishup.uni-potsdam.de/frontdoor/index/index/docId/10246

OAI identifier oai:identifier

oai:kobv.de-opus4-uni-potsdam:10246