CCAM at UConn Health
Is developing new approaches for in vivo measurements and manipulation of molecular events within the cell, and new computational approaches for organizing such data into quantitative models.
CCAM integrates new microscope technologies for making quantitative in vivo live cell measurements with new physical formulations and computational tools that will produce spatially realistic quantitative models of intracellular dynamics.
To investigate the relationships between experimental and computational worlds, we use a tripartite approach described as:
- Measure - develop new tools for measuring spatially resolved dynamic behavior of molecules in cells.
- Model - develop new methods for spatial modeling of biological systems.
- Manipulate - develop new techniques for manipulating the spatial distribution of molecules in living cells.
These three analytical approaches, (measurement, modeling and manipulation) are integrated and interdependent, e.g., models generate predictions that can be validated with new measurements, as well as experimental approaches that manipulate intracellular signals and structures. These approaches allow us to tackle fundamental questions of how the spatial organization of molecules in cell is established and how it is utilized to control cell function. CCAM hosts a confluence of expertise in physics, chemistry, experimental cell biology and software engineering immersed in a biomedical research setting that values interdisciplinary collaborations, and our Training Program in Cell Analysis and Modeling provides a new model for interdisciplinary training in cell biology. CCAM is the home of the Virtual Cell, a computational environment for cell biological modeling developed as a NIH-designated National Resource, and also hosts a variety of projects in biophotonics and live cell microscope imaging methods as well as a state-of-the-art user microscopy facility for nonlinear, confocal, and widefield microscopy.
CCAM is committed to fostering an inclusive and tolerant research environment. We support students and faculty of all races, religions, ethnicities, differing physical abilities, sexual orientations, and gender identities.
UConn maintains a number of resources to promote inclusivity and to report complaints:
Upcoming EventsAll Events »
- Congrats to Lauren & team, first place in PhysiCell Workshop!8-2-21. Lauren Marazzi and her teammates came in first place at the PhysiCell Workshop and Hackathon 2021. They developed PhysiPKPD, a standardized addon with user friendly implementation to PhysiCell for simulating pharmacokinetics and pharmacodynamics. Congratulations on your work!
- Welcome Michael Guertin7-06-2021. Please welcome our newest faculty member, Dr. Michael Guertin, who joins CCAM and the Department of Genetics and Genome Sciences. Dr. Guertin’s laboratory uses genomics, biochemistry and computational biology tools to explore mechanisms of transcriptional regulation and regulatory cascades in hormonal signaling.
- Moraru, Blinov, Marupilla and Wilson publication5-13-21. Drs Ion Moraru and Michael Blinov along with computer specialists Gnaneswara Marupilla and Michael Wilson are co-authors on a new paper in Nuclei Acids Research describing the new resources available through RunBioSimulations, a product of the NIH-funded National Biomedical Technology Resource lead by Ion Moraru of the University of Connecticut School of Medicine and […]
- Cowan and Loew publication5-13-21. Drs. Ann Cowan and Les Loew are co-authors on a new paper in PLoS Computational Biology, “Ten steps to investigate a cellular system with mathematical modeling” that teaches how to use mathematical modeling with VCell software to explore cellular systems.
- 2021 Computational Biology Workshop6-24-2021. CCAM hosted the 2021 Computational Cell Biology workshop JUnew 21-23, providing instruction to over 50 individuals from around the world on mathematical modeling techniques using VCell, COPASI and SpringSaLaD software. Fifteen of the participants worked closely with CCAM researchers to develop their own models related to their research projects. Another successful year for the […]