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SUMMARY:Predicting in vivo metabolic vulnerabilities in Streptococcus suis
  using metabolic models - Karl Kochanowski
DTSTART:20231122T160000Z
DTEND:20231122T170000Z
UID:TALK207931@talks.cam.ac.uk
CONTACT:Fiona Roby
DESCRIPTION:Streptococcus suis is an important zoonotic pathogen causing s
 evere systemic infections in pigs as well as humans. Recent genomic eviden
 ce from large clinical isolate collections suggests that metabolism plays 
 a key role in S. suis pathogenicity. To explore the relationship between g
 enomic variability\, metabolism\, and pathogenicity in S. suis in more det
 ail\, we developed the first large-scale ensemble of strain-specific S. su
 is genome-scale metabolic models. In my talk\, I will discuss how these mo
 dels can be used to identify new metabolic vulnerabilities that are conser
 ved across clinical isolates and relevant in vivo\, thus paving the way fo
 r new treatment strategies which directly target S. suis metabolism. \n\nD
 r. Karl Kochanowski is a Ramón y Cajal researcher at IRTA-CReSA in Barcel
 ona (Spain). His research focuses on understanding the principles of cellu
 lar metabolic regulation\, and their impact on disease outcomes. During hi
 s PhD research at ETH Zurich (Switzerland)\, he explored the role of prote
 in-metabolite interactions in coordinating metabolic pathway activity in E
 scherichia coli. During his postdoctoral research at the University of Cal
 ifornia\, San Francisco (USA)\, he investigated how changes in nutrient av
 ailability affect cancer cell behavior. At IRTA-CReSA\, he and his team us
 e a variety of experimental and computational systems biology approaches (
 e.g. high-throughput cultivation\, metabolomics\, and genome-scale metabol
 ic models) to understand how cellular metabolism drives animal infections.
 \n\n
LOCATION:by zoom
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