Gene regulatory networks (GRNs) govern the cell’s transcriptional output both at steady state and in response to perturbations, and thus act as major molecular determinants of cell-type identity. The long-term aims of my research program are:
- to develop computational and experimental tools to map mammalian GRNs,
- to better understand how canonical signaling pathways modulate and are modulated by transiently established GRNs in the developing embryo, and
- to characterize how cell type specific GRNs are rewired during tumorigenesis and progression.
Towards these ends, we work across several disciplines including molecular and developmental biology, manipulation of pluripotent stem cells, population based and single-cell genomics, and computational and network biology. The outcomes of my research program will include improving the fidelity of directed differentiation to mesendodermal lineages (for purposes of disease modeling, drug screening, and regenerative medicine), the generation of fundamental insights into the interactions between GRNs, signaling pathways, and cell fate decisions, and improved models of human tumors.
- PhD, Computational Biology, Washington University, 2009
- MS, Genomics & Bioinformatics, George Washington University, 2004
- BS, Computer Science, University of Maryland, 2000
June 17, 2021Study adds to evidence that most cancer cells grown in a dish have little in common genetically with cancer cells in peopleJohns Hopkins scientists report they have developed a new computer-based technique showing that human cancer cells grown in culture dishes are the least genetically similar to their human sources.
September 25, 2015Dr. Cahan will teach an undergraduate BME course following a two-year focused effort in developing experimental and computational methods in pluripotent stem cell research.