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Combining mathematical modeling with experiments enables quantitative understanding of cell signaling, transcriptional regulation, and cell fate decisions. Here, we provide a systems biology approach to link signal transduction with B cells fate decisions, to enable quantitative prediction of B-cell proliferation, and differentiation. We describe methodology to run simulations that reveal how signal transduction regulates gene expression and predicts cell fate decision. We describe how to quantitively validate modeling predictions with wet-lab experiments.

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A Systems Biology Approach of Quantifying Signal Transduction to B-Cell Proliferation and Differentiation

  • 实验方案

  • 发表日期：

    2025年

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  • Koushik Roy,
  • Aimilia Vareli,
  • Simon Mitchell

摘要

Combining mathematical modeling with experiments enables quantitative understanding of cell signaling, transcriptional regulation, and cell fate decisions. Here, we provide a systems biology approach to link signal transduction with B cells fate decisions, to enable quantitative prediction of B-cell proliferation, and differentiation. We describe methodology to run simulations that reveal how signal transduction regulates gene expression and predicts cell fate decision. We describe how to quantitively validate modeling predictions with wet-lab experiments.