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.
In a Research Roundtable presentation and Q&A, ISB President Dr. Jim Heath shared how his team is using generative AI to unlock new understanding of human immunity, and how these discoveries could help predict disease severity, improve cancer therapies, and more.
ISB Professor Sui Huang challenges the long-held belief that genetic mutations primarily drive cancer, offering a fresh perspective that could revolutionize how we think about and treat this complex disease.
Dr. Wei Wei has developed a promising new companion diagnostic tool called MetaboCore to help physicians quickly select the most effective systemic therapy for each cancer patient.
Dr. Sean Gibbons is creating a new precision nutrition platform called My Digital Gut that leverages the gut microbiome to make nutrition and healthcare personalized, predictive, and preventive. In an ISB Research Roundtable presentation, Gibbons spoke about My Digital Gut and other microbiome-related projects studied in his lab.
In a breakthrough discovery that changes how we understand T cells and with implications of how we can better engineer custom immune responses to fight disease, Institute for Systems Biology researchers showed that the different disease-fighting functions of different T cells are determined by the genetically encoded T-cell receptor sequence that are unique to those cells.
High school students Ashwin Mukherjee and Rohan Chanani worked with ISB Research Scientist Dr. Jacob Valenzuela on a project to build a machine learning algorithm to count algal cells from microscope images taken from a cell phone. In April, the team was recognized as champions in the DOE-sponsored AlgaePrize competition.