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Multiscale Models of Cell Signaling

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Abstract

Computational models of signal transduction face challenges of scale below the resolution of a single cell. Here, we organize these challenges around three key interfaces for multiscale models of cell signaling: molecules to pathways, pathways to networks, and networks to outcomes. Each interface requires its own set of computational approaches and systems-level data, and no single approach or dataset can effectively bridge all three interfaces. This suggests that realistic “whole-cell” models of signaling will need to agglomerate different model types that span critical intracellular scales. Future multiscale models will be valuable for understanding the impact of signaling mutations or population variants that lead to cellular diseases such as cancer.

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Acknowledgments

We thank Eric Greenwald for critically reviewing this manuscript. Work in the Janes lab is supported by the National Institutes of Health Director’s New Innovator Award Program (1-DP2-OD006464), the American Cancer Society (120668-RSG-11-047-01-DMC), the Pew Scholars Program in the Biomedical Sciences, and the David and Lucile Packard Foundation.

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  1. Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA

    Sameer S. Bajikar & Kevin A. Janes

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  1. Sameer S. Bajikar
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Correspondence to Kevin A. Janes.

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Associate Editor Scott L. Diamond oversaw the review of this article.

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Bajikar, S.S., Janes, K.A. Multiscale Models of Cell Signaling. Ann Biomed Eng 40, 2319–2327 (2012). https://doi.org/10.1007/s10439-012-0560-1

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