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Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
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Cellular Differentiation00:57

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Related Experiment Video

Updated: Jan 30, 2026

Split-BioID — Proteomic Analysis of Context-specific Protein Complexes in Their Native Cellular Environment
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CellPAINT: Interactive Illustration of Dynamic Mesoscale Cellular Environments.

Adam Gardner, Ludovic Autin, Brett Barbaro

    IEEE Computer Graphics and Applications
    |January 23, 2019
    PubMed
    Summary

    CellPAINT is a novel tool enabling users to create biological illustrations with molecular brushes. This software facilitates the visualization of complex biological data, including animated scenes of HIV and T-cells.

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    Area of Science:

    • Molecular biology
    • Cell biology
    • Bioinformatics

    Background:

    • Visualizing complex biological processes is challenging.
    • Current tools lack accessibility for nonexpert users.
    • Integrating diverse biological data requires specialized software.

    Purpose of the Study:

    • To introduce CellPAINT, a user-friendly platform for creating biological illustrations.
    • To enable nonexpert users to visualize and integrate biological data interactively.
    • To develop animated scenes for representing cellular interactions and molecular processes.

    Main Methods:

    • Utilizing a digital painting software paradigm with molecular "brushes."
    • Developing an interactive interface for scene creation.
    • Integrating various biological data types into mesoscale illustrations.
    • Implementing animation features for dynamic visualizations.

    Main Results:

    • CellPAINT empowers nonexpert users to generate mesoscale biological illustrations.
    • The software allows interactive scene creation using a palette of molecular brushes.
    • The current version supports animated scenes featuring HIV virions, blood plasma, and T-cells.

    Conclusions:

    • CellPAINT offers an accessible approach to biological data visualization.
    • The tool enhances the understanding of cellular interactions and molecular mechanisms.
    • Future development can expand the range of biological entities and data integration.