Professor Zemer Gitai's lab at Princeton University focuses on developing innovative strategies to tackle antibiotic resistance and enhance our understanding of microbe-host interactions. Using advanced techniques like single-cell RNA sequencing, the lab investigates how bacteria communicate with their hosts and seeks to create novel antibiotics and therapies that can help combat infections while minimizing resistance. This research combines expertise in microbiology, immunology, and computational biology to establish new methods for studying and manipulating bacterial behaviors.

Dr. Michelle Chan's lab at Princeton University is focused on understanding how mammalian cells differentiate from pluripotent stem cells into specific cell types, like neurons or muscle. By creating comprehensive cell fate maps, her team aims to reveal the intricate pathways of differentiation, which might lead to advancements in cellular therapies for diseases such as Parkinson's and diabetes. The lab primarily employs innovative techniques like CRISPR genome editing and single-cell RNA sequencing to trace cell lineages and analyze the data computationally.

Dr. Thomas J. Silhavy's lab at Princeton University focuses on understanding how Gram-negative bacteria, like E. coli, construct and maintain their outer membrane. This work is crucial because the outer membrane acts as a protective barrier, and better understanding its biology can lead to new antibiotic treatments that target these bacteria. The lab studies various proteins and mechanisms involved in outer membrane biogenesis and transport, with an aim to uncover how these processes can be manipulated for potential therapeutic applications.

Elizabeth Gavis's lab at Princeton University studies how messenger RNAs (mRNAs) are controlled during the development of fruit flies (Drosophila). They focus on understanding how mRNAs are localized and regulated to ensure that proteins are produced in the right place and at the right time during embryonic development. Their research has implications for understanding diseases such as cancer and neurodegenerative disorders, as the rules governing mRNA behavior can reveal why these processes go wrong in various health issues.