What do we do...
Cells live in a constantly changing environment, accordingly signaling networks have evolved to be extremely dynamic. To study signaling dynamics we do live cell imaging using fully automated imaging platforms. These technologies provide unique spatial and temporal resolutions; both essential to study how single cells respond to a dynamic environment.
Single Cell Biosensors
Since the discovery of AvGFP extraordinary progress has been made to observe molecular events in live cells. However the number of signaling events that can be monitored is still relatively scarce. To address this issue, we use synthetic biology and protein engineering to develop new genetically encoded biosensors. These molecular indicators enable exciting new possiblities to study signaling dynamics in live single cells.
Collective Cell behavior
Higher eukaryotic cells organize in multicellular structures where individual cells cooperate to achieve a common goal. Classically, the study of multicellularity has been restricted to fixed samples, thus limiting our understanding of the cellular and molecular dynamics. We use 3D live cell imaging and fluorescent biosensors to study the dynamics of signaling events in multicellular processes with unique single cell resolution.
Cell Cycle Dynamics
Live cell imaging offers unique temporal resolution to measure cell cycle dynamics. We use combinations of cell cycle biosensors in normal and cancer cells to dissect the temporal organization of cell cycle activities in live single cells. These approaches will help bridge the gap between the genetic and phenotypic heterogeneity that underlies cancer.
Molecular Biology and Genetics Department
A fundamental property of living cells is their extraordinary ability to sense and respond to a changing environment. In higher eukaryotes, malfunctioning of signaling networks has many devastating consequences such as cancer, diabetes or autoimmunity. Such consequences arise from the inability of cells to properly evaluate information and cooperate. 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.
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Helen and Mike participate in a program called Project Bridge. The goal of this program is to build avenues of communication between scientists at Hopkins and members of the community. Once a month, the Regot Lab graduate students help run a science booth at the local farmers market. With simple, fun experiments we hope to[…]
Light sensitive molecular switches have emerged as a powerful tool to interrogate signaling networks and their dynamic behavior. However, to address such questions light needs to be delivered with specific dynamic and spatial patterns. Such patterns can be easily achieved under the microscope by using a wide variety of solutions such as digital mirrors. These devices provide unique[…]
We are currently seeking applicants to join the lab !! We are looking for interactive, team working people interested in exploring new fields and assume risks. Learn More!!