I did my undergraduate degree in Human Biology at Pompeu Fabra University in Barcelona. During my first year I became interested in molecular biology and the mechanisms that govern life. Since then I have been training towards an academic career. For my graduate degree I wanted to study the underlying dynamic properties of signaling pathways. Accordingly, I joined the Posas lab for two main reasons. The first one was practical; yeast is a very engaging and dynamic system to work with. The second reason was intellectual; I was fascinated by Dr. Posas postdoctoral work at Harvard on the characterization of signaling pathways in yeast. During my PhD I was involved in multiple projects including understanding stress signaling from a dynamic perspective (Macia J*, Regot S* et al. Sci Signal. 2009) and also a synthetic biology project where we addressed biological computation using synthetic multicellularity in yeast (Regot S et al. Nature. 2011). With this latter project I realized the enormous potential of synthetic biology to engineer new biological functions by using already known biological components.
However, my main conclusion from my PhD was that by studying biological processes at the population level we lose a huge amount of information that is indeed relevant to picture the correct molecular mechanisms.
For my postdoctoral work I joined the Covert lab at Stanford Bioengineering Department because they had an outstanding platform to study signaling dynamics at single cell level. This transition represented a departure from all my previous expertise as I was going from yeast to mammalian cells and from populations to single cells. I chose such a substantial change in subject matter both out of interest to use my signaling background studying cancer related signaling networks, but also as a conscious decision to broaden my expertise as a biologist. During my stay in the Covert lab I soon realized that the amount of molecular events that can be measured dynamically in single cells is actually relatively scarce. Therefore, I decided to use my synthetic biology background to develop new tools to measure protein activities in individual cells. As a result, we implemented a novel and generalizable technology to measure kinase activity in live single cells (Regot S et al. Cell. 2014). With this technology, we are able to measure signaling and cell cycle among other kinase-mediated processes simultaneously in live single cells.
During Fall 2015 I started as an Assistant professor in the Department of Molecular Biology and Genetics at Johns Hopkins School of Medicine, an amazing place for science and collaboration. Our main focus is to understand how individual cells use signaling networks to integrate information, and eventually coordinate collective cell behaviors.
Over the last decade, increasing evidence has shown that the stochastic nature of molecular interactions is a major challenge, especially when cells transduce environmental information. Low molecule copy numbers, macromolecular crowding and picoliter volumes shape the reality of signaling networks; a reality that is often ignored by using bulk cell-population assays. My laboratory takes a single cell approach at studying how signaling networks operate dynamically. We combine 3D live cell imaging, fluorescent biosensors and optogenetics to investigate the origins and consequences of signaling dynamics at single cell level. In particular, we concentrate in analyzing individual cells in a multicellular context where collective cell behaviors lead to complex functions, such as immune response or carcinogenesis. In developing this research program we expect to understand fundamental principles of cell signaling and multicellularity, and how they impact human disease. More info about the lab at RegotLab
See full Curriculum Vitae 2015