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American Society of Cell Biology Annual Meeting 2024:

December 14, 11:15 AM: session on Biophysical Modeling of the Cell by Margaret Johnson (JHU) and Michael Blinov

December 15, 5 PM: Workshop on Mathematical Modeling for Cell Biology by Leslie Loew

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. Sep 19 CCAM Seminar Series: Dr. Jian Liu 4:00pm
  2. Sep 20 CAM Journal Club: Amin Boroomand 12:00pm
  3. Sep 27 CAM Presentation: Dr. Pedro Mendes 12:00pm
  4. Oct 4 CAM Presentation: Siyu Sun 12:00pm
  5. Oct 11 CAM Presentation: Dr. Yi Wu 12:00pm
All Events »

News

  • Jinhong Dong received 2024 Ann Cowan Outstanding Student Award
    September 4, 2024. Jinhong Dong was awarded the 2024 Ann Cowan* Outstanding Student Award in Systems Biology, which recognizes a student with exceptional academic and scholarly achievements in the previous academic year. Jinhong presented at the 2023 International Conference of Systems Biology and the 2024 Cold Spring Harbor Systems Biology meeting. Jinhong’s thesis work addresses […]
  • Kshitiz, Vera-Licona & Agmon publication on breast cancer
    16 August 2024. CCAM members Dr. Kshitiz, Dr. Paola Vera-Licona, and Dr. Eran Agmon have published a manuscript in the journal Molecular Carcinogenesis on “Oscillatory hypoxia induced gene expression predicts low survival in human breast cancer patients”, https://doi.org/10.1002/mc.23810.   
  • Agmon Lab Welcomes New Postdoc Arnab Mutsuddy
    August 15, 2024.  The Agmon Lab is thrilled to welcome Dr. Arnab Mutsuddy as a new postdoctoral researcher, focusing on whole-cell community modeling. Dr. Mutsuddy, who recently earned his Ph.D. in Chemical and Biomolecular Engineering from Clemson University, brings extensive expertise in single-cell modeling, mathematical modeling, and computational biology. His prior work in the Birtwistle […]
  • Dr. Blinov’s editorial on Network-based mathematical modeling
    11 August 2024. Dr. Blinov and Dr. Mertins from NIH have published an editorial for the special issue on “Network-based mathematical modeling in cell and developmental biology” that they organized for the Frontiers in Cell Developmantal Biology journal they edited (https://doi.org/10.3389/fcell.2024.1475005).