
Stephen Saville
Associate Professor · Molecular Microbiology
University of Texas at San AntonioAbout
Stephen Saville is an Associate Professor in the Department of Molecular Microbiology and Immunology at the University of Texas at San Antonio (UTSA), College of Sciences. His research focuses on the genetic regulation of Candida albicans cell shape and its role in fungal virulence. He leads the Saville Lab, where his team studies how morphological transitions contribute to pathogenesis in both mucosal and disseminated infections.
- Ph.D. in Molecular Genetics, University of Leicester
- B.Sc. in Applied Sciences, University of Wolverhampton
Dr. Saville's research interests center on fungal pathogenesis, particularly the molecular mechanisms driving C. albicans hyphal formation and biofilm development. His lab investigates gene expression changes during the commensal-to-pathogen switch, constructs mutant strains, and tests their virulence in infection models. This work is critical for developing novel antifungal therapies that target virulence rather than viability.
The recent publications highlight a consistent focus on filamentation inhibition, biofilm disruption, and host-pathogen interactions. His work spans molecular genetics, transcriptomics, and phenotypic screening, aiming to identify new therapeutic targets against life-threatening fungal infections. Keywords across his research include morphogenetic regulation, stress response, and antifungal drug development.
Dr. Saville has collaborated extensively with prominent researchers such as J.L. Lopez-Ribot and has contributed to numerous reviews and original studies in high-impact journals. While no formal awards are listed, his sustained publication record and active lab indicate significant scientific impact. His lab currently includes undergraduate researchers, suggesting an active mentoring role.
The Saville Lab employs both in vitro and in vivo models to assess pathogenic potential, focusing on disseminated and mucosal candidiasis. The team uses genetic manipulation, high-content screening, and transcriptomic analysis to uncover key regulatory pathways in C. albicans.
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