Seminar - Dr. Brandon Schlomann
Dr. Brandon Schlomann
MBIM Seminar Series
Starts
Jan 28, 2025 - 11:00 amAdd to Calendar 2025-01-28 19:00:00 2025-01-28 19:00:00 Seminar - Dr. Brandon Schlomann

Seminar: Illuminating within-host infection dynamics in space and time

 

Abstract: A fundamental challenge in infection biology is predicting the dynamics of within-host microbial growth and immune activation. However, data typically comes as static snapshots, limiting our ability to test theories. Therefore, we established live imaging of a powerful model organism: the larval fruit fly. I will discuss how we used light sheet fluorescence microscopy to follow gene expression dynamics in nearly every cell of the immune system alongside bacterial abundances, leading to the discovery of spatial microenvironments that are primed for the rapid expression of antimicrobials. This approach enables testing theories that predict infection outcomes from cellular behaviors. 

Room 102: Lecture Theatre - Michael Smith Laboratories MBIM itsupport@microbiology.ubc.ca America/Vancouver public
Ends
Jan 28, 2025 - 12:00 pm
Location
Room 102: Lecture Theatre - Michael Smith Laboratories
Hosted by
Dr. Selena Sagan
Presenter title
James S. McDonnell Postdoctoral Fellow, University of California Berkeley
Presenter name
Dr. Brandon Schlomann

Seminar: Illuminating within-host infection dynamics in space and time

 

Abstract: A fundamental challenge in infection biology is predicting the dynamics of within-host microbial growth and immune activation. However, data typically comes as static snapshots, limiting our ability to test theories. Therefore, we established live imaging of a powerful model organism: the larval fruit fly. I will discuss how we used light sheet fluorescence microscopy to follow gene expression dynamics in nearly every cell of the immune system alongside bacterial abundances, leading to the discovery of spatial microenvironments that are primed for the rapid expression of antimicrobials. This approach enables testing theories that predict infection outcomes from cellular behaviors.