Differential Gene Expression in Virus-Infected Exosomes

UTMB (2024)

During my summer at the University of Texas Medical Branch (UTMB), I worked in a translational research setting using computational analysis to study how viral infection can shift molecular signals carried in exosomes. My work focused on organizing and analyzing biological datasets, validating patterns in expression changes, and communicating results through figures and presentations.

Poster

UTMB research poster

Download poster (PDF)

Introduction

Respiratory syncytial virus (RSV) and Human metapneumovirus (HMPV) are two of the leading causes of respiratory tract infections in young children and other immunocompromised patients. RSV is most likely to cause severe illness in infants younger than 6 months while HMPV causes severe illness between 6 and 12 months. MicroRNA (miRNA) and Piwi-interacting RNA (piRNA) are two types of non-coding RNA (RNA that is not translated into protein) that regulate gene expression. Exosomes are vesicles that carry biologically active proteins, lipids, and RNAs from one cell to another. Exosomes from infected cells have been shown to shelter and deliver viral RNA and proteins, viral and cellular miRNA, and other genetic elements to other cells. Exosomes play a role in both limiting and spreading infections depending on the type of virus. They can be used in creating antiviral treatments and vaccines. We aim to investigate the differential expression of genes that code for miRNAs and piRNAs between exosomes that originate from RSV infected cells, HMPV infected cells, or non-infected cells.

Tools & Methods

  • Analysis: differential expression comparisons across RSV, HMPV, and non-infected conditions
  • Programming: structured data processing in R and/or Python (cleaning, filtering, merges, summary tables)
  • Data handling: reproducible outputs (CSV/TSV), consistent naming, traceable comparisons across conditions
  • Visualization: figure generation for presentations (expression summaries, comparison plots)
  • Workflow: translating biological questions into computable comparisons; iterative refinement with mentor feedback

Contact

If you have questions about this project, feel free to reach out to me here: ktnuyen04@gmail.com.