Date

8-26-2013

UMMS Affiliation

Graduate School of Biomedical Sciences, Immunology and Virology

Document Type

Dissertation, Doctoral

Subjects

Dissertations, UMMS; Cytomegalovirus; Cytomegalovirus Infections; MicroRNAs; RNA Interference; Virus Replication

Disciplines

Immunology and Infectious Disease | Molecular genetics | Virology

Abstract

The parasitic nature of viruses requires that they adapt to their host environment in order to persist. Herpesviruses are among the largest and most genetically complex human viruses and they have evolved mechanisms that manipulate a variety of cellular pathways and processes required to replicate and persist within their hosts. Human cytomegalovirus (HCMV), a member of the β- herpesvirus sub-family, has the capacity to influence the expression of many host genes in an effort to create an optimal environment for infection. One mechanism utilized by HCMV to alter gene expression is the host RNA interference (RNAi) pathway. This is evidenced by a requirement of host factors to process viral micro-RNAs (miRNAs) and by the dynamic expression of host miRNAs during infection.

The work presented in this dissertation demonstrates that productive HCMV infection reprograms host miRNA expression in order to positively influence infection. I was able to identify a cohort of infection-associated host miRNAs whose change in expression during infection was highly significant. Using the enhancer-promoter sequences of this panel of host miRNAs, I statistically enriched for the presence of functional transcription factor binding sites that regulated the expression of two highly conserved clusters of host miRNAs: miR132/212 and miR143/145. Given that inhibiting their infection-associated change in expression during infection was detrimental to viral replication, it suggests that HCMV mechanistically influences the expression of these miRNA clusters. In order to determine the functional relevance of these miRNAs, I assembled a cohort of potential miRNA target genes using gene expression profiles from primary fibroblasts. By statistically enriching for miRNA recognition elements (MRE) in the respective 3’-UTR sequences, I generated a miRNA target network that includes thousands of host genes. I evaluated the efficacy of our novel miRNA target prediction algorithm by confirming the functionality of enriched MREs present in the 3’-UTR of KRas and by confirming anecdotal miRNA targets from published studies. Gene ontology terms enriched from infection-associated host miRNA target networks suggest that the utility of host miRNAs may extend to multiple host pathways that are required for viral replication. The targeting of multiple miRNAs to shared genes increased the statistical likelihood of target site enrichment. I propose that identifying cooperative miRNA networks is essential to establishing the functional relevance of miRNAs in any context. By combining contextual data on the relative miRNA/mRNA abundance with statistical MRE enrichments, one will be able to more accurately characterize the biological role of miRNAs.

Available for download on Thursday, September 18, 2014

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