Abstract

Bacteriophages such as SPN3US are viruses that infect bacterial cells and use their resources and machinery to produce progeny. In this study, data-independent mass spectrometry (DIA-MS) was used to track changes in the SPN3US proteome during an infection of S. enterica. DIA-MS was found to be a viable method of obtaining proteomic data as compared to data-dependent techniques and will prove useful in future studies of bacteriophage infections. Major findings include further information on the two phage RNAPs and the speed of the infection process, plus candidate topics for future research such as the involvement of bacterial flagella and the possibility of a second round of infection.

Publication Date

11-24-2025

Document Type

Thesis

Student Type

Graduate

Degree Name

Bioinformatics (MS)

Department, Program, or Center

Thomas H. Gosnell School of Life Sciences

College

College of Science

Advisor

Julie Thomas

Advisor/Committee Member

Gregory Babbitt

Advisor/Committee Member

Michael Osier

Comments

This thesis has been embargoed. The full-text will be available on or around 12/21/2026.

Campus

RIT – Main Campus

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