معرفی
Monica S. Guo is an Assistant Professor in the Department of Microbiology at the University of Washington, where she leads research on genome organization and essential DNA processes in bacteria. Her work bridges molecular mechanisms with genomic-scale consequences using interdisciplinary approaches.
Education:
- Ph.D. in Biochemistry and Molecular Biology, University of California, San Francisco (Advisor: Dr. Carol Gross)
- Postdoctoral Research, Massachusetts Institute of Technology (Advisor: Dr. Michael Laub)
Research Focus: The Guo Laboratory investigates how DNA structuring proteins regulate molecular machines involved in genome maintenance and the organization of local DNA structure. Using genetics, biochemistry, single-molecule experiments, and high-throughput sequencing, her team explores fundamental questions in chromosome dynamics, DNA topology, and bacterial cell biology. This work provides critical insights into genome stability and molecular mechanisms driving essential cellular processes.
Publication Trends: Recent work demonstrates consistent focus on bacterial chromosome architecture, with key contributions in DNA supercoiling mapping, protein-DNA interactions, and development of genetic tools. Publications span high-impact journals including Cell and eLife, revealing evolutionary principles in enzyme expression and molecular mechanisms of bacterial competition.
Scientific Awards:
- No awards listed in provided text
Advising and Lab Structure: Dr. Guo mentors two graduate students (Lucy Kwiatkowski, Sarina Kao) and leads a multidisciplinary team including a lab manager, postdoctoral researcher, research associate, and undergraduate trainees. The Guo Laboratory actively accepts graduate students year-round and maintains a collaborative research environment focused on training next-generation scientists.
Research Infrastructure: The laboratory operates as a cohesive unit utilizing diverse molecular and genomic techniques, with ongoing projects examining chromosome organization in model bacterial systems. Current work extends to developing novel approaches for studying real-time molecular behaviors in living cells.
