Multiscale Cancer Modeling

Deisboeck, Thomas S.; Wang, Zhihui; Macklin, Paul; Cristini, Vittorio

doi:10.1146/annurev-bioeng-071910-124729

Cited by 383 publications

(333 citation statements)

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“…oxygen levels and blood flow) result in whole population dynamics, and can be built upon to include complex cell-cell signaling networks. 57,58 The future of trophoblast migration studies may be to apply these tested techniques to build upon our knowledge of the mechanisms controlling trophoblast invasion and spiral artery remodeling. Indeed, our ability to capture data on trophoblast migration data that can be used in this way to understand normal and pathological placentation is of particular importance given the difficulties that studying the process in vivo entails.…”

Section: Future Directionsmentioning

confidence: 99%

Quantifying trophoblast migration: In vitro approaches to address in vivo situations

James

Tun

Clark

2016

Cell Adhesion & Migration

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When trophoblasts migrate and invade in vivo, they do so by interacting with a range of other cell types, extracellular matrix proteins, chemotactic factors and physical forces such as fluid shear stress. These factors combine to influence overall trophoblast migration and invasion into the decidua, which in turn determines the success of spiral artery remodeling, and pregnancy itself. Our understanding of these important but complex processes is limited by the simplified conditions in which we often study cell migration in vitro, and many discrepancies are observed between different in vitro models in the literature. On top of these experimental considerations, the migration of individual trophoblasts can vary widely. While time-lapse microscopy provides a wealth of information on trophoblast migration, manual tracking of individual cell migration is a time consuming task that ultimately restricts the numbers of cells quantified, and thus the ability to extract meaningful information from the data. However, the development of automated imaging algorithms is likely to aid our ability to accurately interpret trophoblast migration in vitro, and better allow us to relate these observations to in vivo scenarios. This commentary discusses the advantages and disadvantages of techniques commonly used to quantify trophoblast migration and invasion, both from a cell biology and a mathematical perspective, and examines how such techniques could be improved to help us relate trophoblast migration more accurately to in vivo function in the future.

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Section: Future Directionsmentioning

confidence: 99%

Quantifying trophoblast migration: In vitro approaches to address in vivo situations

James

Tun

Clark

2016

Cell Adhesion & Migration

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“…In some areas of complex fluids and materials science [4,5,[7][8][9][10][11], or applied mathematics and numerical analysis [1,3,[12][13][14], the field has already reached a level of some maturity, for example including 'classical' methods/algorithms, such as homogenization [1]. For other fields, such as, for example, the biomedical [15][16][17][18][19][20] and the socio-economic domains [21], multiscale modelling is still relatively new. However, in most if not all cases of concern, the research and associated funding to pursue such studies are confined within the boundaries of individual scientific and engineering disciplines.…”

Section: The Breadth and Depth Of Multiscale Modellingmentioning

confidence: 99%

Multiscale modelling and simulation: a position paper

Hoekstra

Chopard

Coveney

2014

Phil. Trans. R. Soc. A.

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One contribution of 13 to a Theme Issue 'Multi-scale systems in fluids and soft matter: approaches, numerics and applications' . We argue that, despite the fact that the field of multiscale modelling and simulation has enjoyed significant success within the past decade, it still holds many open questions that are deemed important but so far have barely been explored. We believe that this is at least in part due to the fact that the field has been mainly developed within disciplinary silos. The principal topics that in our view would benefit from a targeted multidisciplinary research effort are related to reaching consensus as to what exactly one means by 'multiscale modelling', formulating a generic theory or calculus of multiscale modelling, applying such concepts to the urgent question of validation and verification of multiscale models, and the issue of numerical error propagation in multiscale models. Moreover, we believe that this would, in principle, also lay the foundation for more efficient, well-defined and usable multiscale computing environments. We believe that multidisciplinary research to fill in the gaps is timely, highly relevant, and with substantial potential impact on many scientific disciplines.

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“…Cancer is a class of diseases characterized by unregulated cell growth (Deisboeck, et al, 2011). Cancer initiation depends on genetic mutations in series that affects cellular programming.…”

Section: Cancer Stem Cellsmentioning

confidence: 99%