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Quantifying cellular autonomy in multi-cue environments.

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    Cells decide between environmental cues based on intrinsic preference or extrinsic information. This study develops a framework to quantify this balance, revealing cell autonomy in response networks.

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    Area of Science:

    • Cell biology
    • Biophysics
    • Theoretical biology

    Background:

    • Cells constantly encounter multiple environmental signals.
    • Understanding how cells prioritize these signals is crucial for cell behavior.
    • Distinguishing intrinsic cell preferences from extrinsic cue information is a key question.

    Purpose of the Study:

    • To develop a theoretical framework for distinguishing intrinsic cell preferences from extrinsic cue information.
    • To quantify the balance between intrinsic and extrinsic factors in cell decision-making.
    • To interpret cell response networks based on their decision boundaries.

    Main Methods:

    • Derivation of extrinsic detection limits for four directional cues: chemical gradients (external and self-generated), fluid flow, and contact inhibition of locomotion.
    • Prediction of extrinsic decision boundaries for competing cue pairs.
    • Quantitative comparison of predicted boundaries with published cell migration experimental data.

    Main Results:

    • A theoretical framework was established to analyze cell responses to competing environmental cues.
    • Extrinsic detection limits and decision boundaries were derived for various directional cues.
    • Quantitative analysis revealed the relative contributions of intrinsic and extrinsic factors in cell decisions.

    Conclusions:

    • The study provides a method to quantitatively assess cell autonomy in response to environmental cues.
    • The findings offer insights into the mechanisms underlying cell decision-making and response networks.
    • This framework helps differentiate between inherent cell biases and the information content of external signals.