The prize recognizes foundational discoveries about regulatory T cells and the FOXP3 gene that redefined immune tolerance and opened avenues to treat autoimmune disease, enable transplantation, and advance immuno-oncology. ISB celebrates Dr. Brunkow’s leadership and collaborative science.
The pioneering work of Mary Brunkow and Fred Ramsdell began with a mysterious mutant mouse known as “scurfy,” leading them to identify the FOXP3 gene and unlock how regulatory T cells prevent autoimmune disease — discoveries that now point to new treatments in cancer and autoimmunity.
Whitney Gibb used to move through life at full speed. After COVID, brain fog, fatigue, and memory loss reshaped her daily life — offering a powerful window into the realities of Long COVID and the research now working to understand it.
ISB researchers use single-cell sequencing to reveal hidden defenses against bacteriophages — and introduce a powerful new way to study phage-microbe interactions.
New research from ISB’s Gibbons Lab shows that computer models of gut metabolism can predict whether probiotics will successfully establish in an individual’s microbiome and how dietary prebiotics shape health-related molecules in the gut. The findings point toward a future of more personalized, predictable microbiome-based interventions.
ISB Professor Dr. Nitin Baliga has been elected to the American Academy of Microbiology as part of the 2026 Fellowship Class — a highly selective honor recognizing exceptional scientific achievement and leadership in the microbial sciences. Baliga joins 62 peers from 14 countries selected through a rigorous peer-review process.
Postdoctoral fellows are the lifeblood of research institutions, yet their contributions are often underrecognized. At the Institute for Systems Biology (ISB), postdocs enter the scientific workforce with passion, vision, and advanced training – bringing the fresh ideas that fuel discovery.
Researchers at the Institute for Systems Biology argue that combining systems biology, longitudinal multiomics data, and artificial intelligence could transform healthcare from reactive treatment to proactive prevention, enabling scientists and clinicians to detect early molecular signs of disease and intervene before symptoms appear.