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Computational and Structural Biotechnology Journal
Article . 2018 . Peer-reviewed
License: CC BY
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Other literature type . 2018
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Article . 2018
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Mechanical and Systems Biology of Cancer

Authors: Fabian Spill; Chris Bakal; Michael Mak;

Mechanical and Systems Biology of Cancer

Abstract

Mechanics and biochemical signaling are both often deregulated in cancer, leading to cancer cell phenotypes that exhibit increased invasiveness, proliferation, and survival. The dynamics and interactions of cytoskeletal components control basic mechanical properties, such as cell tension, stiffness, and engagement with the extracellular environment, which can lead to extracellular matrix remodeling. Intracellular mechanics can alter signaling and transcription factors, impacting cell decision making. Additionally, signaling from soluble and mechanical factors in the extracellular environment, such as substrate stiffness and ligand density, can modulate cytoskeletal dynamics. Computational models closely integrated with experimental support, incorporating cancer-specific parameters, can provide quantitative assessments and serve as predictive tools toward dissecting the feedback between signaling and mechanics and across multiple scales and domains in tumor progression.

18 pages, 3 figures

Keywords

570, 610, FOS: Physical sciences, Review Article, Biological Physics (physics.bio-ph), FOS: Biological sciences, Cell Behavior (q-bio.CB), Quantitative Biology - Cell Behavior, Physics - Biological Physics, TP248.13-248.65, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Average
Top 10%
Green
gold