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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 Systems Biology 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.

Inclusivity Statement

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:

Office of Institutional Equity
Ombuds Office
Dean of Students Office Bias Reporting
Office for Diversity and Inclusion
School of Medicine Office of Multicultural and Community Affairs

Collage of various images, cells, people, building

Upcoming Events

  1. Apr 18 CCAM Seminar Series - Dr. Anna Konstorum 4:00pm
  2. Apr 19 CAM Presentation - Yi Wu 12:00pm
  3. Apr 25 CCAM Seminar Series - Dr. Benjamin Lin 4:00pm
  4. Apr 26 CAM Presentation - OPEN 12:00pm
  5. May 3 CAM Presentation - Ion Moraru 12:00pm
All Events »

News

  • 25th Annual Comp Cell Bio workshop
    VCell, COPASI and SpringSalad were taught and used for projects at the  25th Annual Computational Cell Biology (CCB) workshop that took place online February 26-28th.  The invited talks were given by Yulia Timofeeva (University of Warwick), James P Sluka (Indiana University) and Kevin Janes (University of Virginia). Sixteen participants were selected to work with VCell and COPASI […]
  • Dr. Agmon published Cell Reports on restructuring of tumor tissue
    Congratulations to Dr. Agmon and his collaborators from Stanford for publishing an article in Cell Reports on T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response. https://www.sciencedirect.com/science/article/pii/S2211124723015061  
  • Drs. Blinov and Johnson organize a subgroup at ASCB2023
    Drs. Michael Blinov and Margaret Johnson (John Hopkins University) organized a subgroup on Biophysical Modeling of the Cell at the American Society of Cell Biology (ASCB) annual meeting CellBio2023. Among the speakers are Elizabeth Read (UCI), Jason Haugh (NCSU) and Graham Johnson (Allen Institute).  
  • CCAM alumni collaborate in teaching
    CCAM alumni continue to collaborate after graduation. Our recent graduate Ani Chattaraj (PostDoc at Harvard) teaches a Computational Modeling in Biology module for a Molecular Biology Techniques course offered at Saint Elizabeth University by our alumni Sofya Borinskaya (Assistant Professor at SEU).
  • Dr. Vera-Licona gave the invited talk at RedMexBiomate
    Congratulations to Dr. Vera-Licona for the invited talk “Network-Based Cell Reprogramming: Tools and Applications” at the inaugural event for the Mexican Biology and Mathematics Network (RedMexBiomate), November 7-10 in Cuernavaca, Mexico.