Bringing model systems closer to the clinic
Goal of the clonal redesign lab is to change a tumor’s environment so as to favor certain tumor subclones over others. We will redesign a tumor’s fitness landscape, rather than directly the clones themselves. Why then clonal redesign? Because by redesigning the environment, adaptation of clones to the new environment is implicit. Anticipating and preparing for this adaptation is at the core of our lab.
WELCOME TO OUR PERSONALIZED ONCOLOGY PLATFORM
We combine computational biology, mathematical modeling and pharmacology to up our odds in the race against tumor evolution.
Our research program runs on two parallel tracks, the first complementing and supporting the second. The first track aims to improve consilience among clone perspectives: developing methods to quantify the clonal composition of a tumor from different perspectives, such as their genome, transcriptome, or appearance, and integrating those methods with each other. In short, the first track characterizes clones. The second track uses these clone characteristics to make treatment predictions.
What cost do cells with a higher DNA content pay for the robustness benefit it provides? Mathonco, RNASeq and microenvironment profiling join forces to find out! Thrilled to share our first paper from the clonal redesign lab.
Tremendously excited to welcome Thomas Veith as the 1st PhD student in the clonal redesign lab! Thomas is a PhD candidate studying Integrated Mathematical Oncology. He will embark on understanding how in-vitro cellular heterogeneity emerges and is maintained.
Welcome to Bradley Fox into the lab! Bradley is part of the off-campus program IMO is organizing for Dartmouth College students. Bradley's work explores the hypothesis that different timings of splitting and passaging a cell line will benefit different co-existing clones.
The Pathway to Independence Award (K99/R00) is funding us