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 »
- Publication for Corey Acker working with Imperial College London11-11-22. Congratulations to Corey on his recent collaborative publication, Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells Commun Biol. 2022 Nov 11;5(1):1178. doi: 10.1038/s42003-022-04077-2. Peter Quicke, Yilin Sun, Mar Arias-Garcia, Melina Beykou, Corey D Acker, Mustafa Djamgoz, Chris Bakal, Amanda J Foust. Recent studies at the Imperial College London and The […]
- Ann Cowan has new publication using FCS12-06-22. Congratulations to Ann on her recent publication, Liu, Y., E.M. Bafaro, A.E. Cowan, and R.E. Dempski. 2022. The transmembrane domains mediate oligomerization of the human ZIP4 transporter in vivo. Sci Rep. 12:21083. The work used Fluorescence Correlation Spectroscopy (FCS), performed in CCAM, to determine the oligomerization state of wild-type or mutant zinc transporter protein ZIP4 […]
- VCell tutorial at ICSB 2022 in Berlin09-12-22. Michael Blinov and Ion Moraru will give a VCell tutorial at the 21st International Conference on Systems Biology – the premier meeting on systems studies in biology, human evolution disease and planetary health. The meeting will take place in Berlin, Germany on October 8th-12th. The tutorial will be on October 9th at 12:30pm local […]
- New publication of the Vera-Licona Lab06-20-22 Congratulations to Dr. Paola Vera-Licona and Lauren Marazzi who recently published a paper in npj Systems Biology and Applications on NETISCE: a network-based tool for cell fate reprogramming. In this paper, they introduce NETISCE, a novel computational tool for identifying cell fate reprogramming targets in static networks. In combination with machine learning algorithms, NETISCE […]
- The 23rd Annual Workshop on Computational Cell Biology05-25-22 The 23rd Computational Cell Biology workshop took place at R. D. Berlin Center for Cell Analysis and Modeling (CCAM) on May 23-25th. For 3 days more than 40 online participants learnt how to use VCell, COPASI and SpringSalad software tools for modeling of cell biology systems. 16 participants participated in the “project track”, working […]