Modeling Cellular Signaling Variability Based on Single-Cell Data: The TGFβ-SMAD Signaling Pathway
Uddipan Sarma1, Lorenz Ripka1,2, Uchenna Alex Anyaegbunam1,2
1Institute of Molecular Biology (IMB), Mainz, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|April 19, 2023
Summary
Cellular heterogeneity drives diverse responses to stimuli, impacting cell differentiation and disease treatment. Mathematical models are essential for understanding these variations, particularly in signaling pathways like TGFβ/SMAD.
Area of Science:
- Cellular and molecular biology
- Systems biology
- Biophysics
Background:
- Nongenetic heterogeneity causes genetically identical cells to exhibit varied responses to identical external stimuli.
- This heterogeneity is prominent in cellular signaling pathways, which mediate input sensing and nuclear information transmission for decision-making.
- Understanding cellular heterogeneity is crucial for fields like cell differentiation and therapeutic interventions.
Approach:
- This review synthesizes experimental and theoretical literature on cellular signaling heterogeneity.
- It specifically examines the role of the transforming growth factor beta (TGFβ)/SMAD signaling pathway.
- Mathematical modeling approaches are highlighted for their necessity in describing and analyzing heterogeneous cell populations.
Key Points:
- Signaling pathways act as initial sensors of external signals, translating them for cellular responses.
- Random fluctuations in cellular components are a primary source of nongenetic heterogeneity.
- The TGFβ/SMAD pathway serves as a focused case study for exploring signaling heterogeneity.
Conclusions:
- Mathematical models are indispensable for quantifying and comprehending the dynamics of cellular heterogeneity.
- Addressing heterogeneity is vital for advancing our understanding of biological processes and disease treatments.
- Further research integrating experimental and modeling approaches will enhance insights into signaling pathway dynamics.
Keywords:
Cell-to-cell variabilityHeterogeneityMathematical modelingNumerical simulationOrdinary differential equationsSMAD transcription factorsSignal transductionSingle cellsStochastic modelingTGFβ signalingMore Related Videos
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