Abstract
Although a great deal is known about the signaling events that promote nuclear translocation of NF-κB, 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-κB 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-κB localization in the absence and presence of TNFα. Higher levels of nuclear NF-κB were associated with mesenchymal-like versus epithelial-like morphologies, and RhoA-ROCK-myosin II signaling was critical for mediating shape-based differences in NF-κB localization and oscillations. Thus, mechanical factors such as cell shape and the microenvironment can influence NF-κB signaling and may in part explain how different phenotypic outcomes can arise from the same chemical cues.
Original language | English |
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Article number | 790 |
Journal | Molecular Systems Biology |
Volume | 11 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Mar 2015 |
Keywords
- breast cancer
- Cell Signalling
- Mathematical modeling
- NF-kappa B
- GTPases
- Cell shape
- Cell adhesion
- Single cell biology
- High content imaging
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Julia Sero
- Department of Life Sciences - Lecturer
- Centre for Therapeutic Innovation
- Institute for Mathematical Innovation (IMI)
Person: Research & Teaching