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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. Jul 5 CAM Presentation - Cancelled 12:00pm
  2. Jul 12 CAM Presentation: Jinhong Dong 12:00pm
  3. Jul 19 CAM Presentation: Summer Students 12:00pm
  4. Jul 22 25th Computational Cell Biology Workshop All Day
  5. Jul 23 25th Computational Cell Biology Workshop All Day
All Events »

News

  • PD Fellowship opportunity – Basis partnership
    June 07, 2024 The Agmon Lab Modeling is partnering with Basis—a new AI and inference company—to offer a postdoctoral fellowship in whole-cell modeling. This collaboration aims to revolutionize gene function discovery using whole-cell models, blending modular simulation and probabilistic inference to automate gene curation. The fellowship offers an opportunity for groundbreaking research to enhance predictive […]
  • Dr. Sarabipour spoke at the NIH meeting on the Future of Scientific Conferencing
    June 6, 2024. Dr. Sarabipour spoke as an invited speaker at the National Institutes of Health’s Office for Behavioral and Social Sciences Research (OBSSR) virtual gathering on The Future of Scientific Conferencing. The workshop brought together diverse perspectives from multiple disciplines to explore advantages, barriers, gaps, and opportunities in the future of scientific conferencing for […]
  • Dr. Sarabipour published an article in Nature Human Behaviour
    June 6, 2024. Dr. Sarabipour published an article in Nature Human Behaviour on Improving Academic Mentorship discussing strategies for diverse stakeholders to ensure excellent academic mentorship. In this article Dr. Sarabipour and colleagues highlight findings of their mentorship surveys and discuss how mentors, departments, universities and funders can collectively improve mentorship in academic environments for […]
  • bnglViz software developed by Blinov’s lab is published in Bioinformatics
    May 30, 2024 The Blinov Lab published a new software tool bnglViz, an online platform for visualizing rule-based models in BioNetGen language (BNGL) as graphical cartoons, empowering researchers to grasp the nuances of rule-based models swiftly and efficiently, and making the exploration of complex biological systems more accessible than ever before. https://doi.org/10.1093/bioinformatics/btae351 
  • Dr. Sarabipour at the NINDS Approaches to Prevent Publication Bias Workshop
    May 20-21, 2024.  Dr. Sarabipour spoke as an invited panelist at the National Institute of Neurological Disorders and Stroke’s (NINDS) Novel Approaches to Preventing Publication Bias Workshop in Bethesda, Maryland. This workshop brought together a diverse cross-section of individuals who promote scientific rigor and transparency and are invested in mitigating publication bias. Dr. Sarabipour spoke […]