Journal
MOLECULAR SYSTEMS BIOLOGY
Volume 11, Issue 3, Pages -Publisher
WILEY
DOI: 10.15252/msb.20145644
Keywords
Bayesian; breast cancer; morphology; NF-kappa B; RhoA
Categories
Funding
- Biotechnology and Biological Sciences Research Council [BB/I002510/1]
- Cancer Research UK [C37275/A13478]
- Wellcome Trust
- Biotechnology and Biological Sciences Research Council [BB/I002510/1] Funding Source: researchfish
- Cancer Research UK [13478] Funding Source: researchfish
- BBSRC [BB/I002510/1] Funding Source: UKRI
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Although a great deal is known about the signaling events that promote nuclear translocation of NF-kappa B, how cellular biophysics and the microenvironment might regulate the dynamics of this pathway is poorly understood. In this study, we used high-content image analysis and Bayesian network modeling to ask whether cell shape and context features influence NF-kappa B activation using the inherent variability present in unperturbed populations of breast tumor and non-tumor cell lines. Cell-cell contact, cell and nuclear area, and protrusiveness all contributed to variability in NF-kappa B localization in the absence and presence of TNF alpha. Higher levels of nuclear NF-kappa B were associated with mesenchymal-like versus epithelial-like morphologies, and RhoA-ROCK-myosin II signaling was critical for mediating shape-based differences in NF-kappa B localization and oscillations. Thus, mechanical factors such as cell shape and the microenvironment can influence NF-kappa B signaling and may in part explain how different phenotypic outcomes can arise from the same chemical cues.
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