Systems morphodynamics: understanding the development of tissue hardware

Mao, Yanlan; Green, Jeremy

doi:10.1098/rstb.2016.0505

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Quantitative physical descriptions of tissues enable a description of how generation and balance of mechanical forces drive morphogenesis [12][13][14]. Several approaches have been proposed to describe the physics of epithelia [15,16], a class of tissue where cells are arranged in a nearly two-dimensional (2D) structure (figure 1a).…”

Section: Introductionmentioning

confidence: 99%

Vertex models: from cell mechanics to tissue morphogenesis

Alt

Ganguly

Salbreux

2017

Phil. Trans. R. Soc. B

385

334

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Tissue morphogenesis requires the collective, coordinated motion and deformation of a large number of cells. Vertex model simulations for tissue mechanics have been developed to bridge the scales between force generation at the cellular level and tissue deformation and flows. We review here various formulations of vertex models that have been proposed for describing tissues in two and three dimensions. We discuss a generic formulation using a virtual work differential, and we review applications of vertex models to biological morphogenetic processes. We also highlight recent efforts to obtain continuum theories of tissue mechanics, which are effective, coarse-grained descriptions of vertex models.This article is part of the themed issue ‘Systems morphodynamics: understanding the development of tissue hardware’.

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Section: Introductionmentioning

confidence: 99%

Vertex models: from cell mechanics to tissue morphogenesis

Alt

Ganguly

Salbreux

2017

Phil. Trans. R. Soc. B

385

334

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“…18,43 In neuroscience and developmental biology, the field of computer science is contributing new image processing and analysis workflows, advancing large-scale brain mapping [44][45][46] and analysis of tissue morphodynamics. [47][48][49] Implementing similar unbiased strategies for IV-MPM studies of cancer will allow us to accelerate the pace of discoveries.…”

Section: (Semi)automated Image Processing and Machine Learning Clasmentioning

confidence: 99%

Frontiers in intravital multiphoton microscopy of cancer

2019

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Background Cancer is a highly complex disease, which involves the cooperation of tumor cells with multiple types of host cells and the extracellular matrix. Cancer studies that rely solely on static measurements of individual cell types are insufficient to dissect this complexity. In the last two decades, intravital microscopy has established itself as a powerful technique that can significantly improve our understanding of cancer by revealing the dynamic interactions governing cancer initiation, progression, and treatment effects in living animals. This review focuses on intravital multiphoton microscopy (IV‐MPM) applications in mouse models of cancer. Recent findings IV‐MPM studies have already enabled a deeper understanding of the complex events occurring in cancer at the molecular, cellular, and tissue levels. Multiple cell types present in different tissues influence cancer cell behavior via activation of distinct signaling pathways. As a result, the boundaries in the field of IV‐MPM are continuously being pushed to provide an integrated comprehension of cancer. We propose that optics, informatics, and cancer (cell) biology are coevolving as a new field. We have identified four emerging themes in this new field. First, new microscopy systems and image processing algorithms are enabling the simultaneous identification of multiple interactions between the tumor cells and the components of the tumor microenvironment. Second, techniques from molecular biology are being exploited to visualize subcellular structures and protein activities within individual cells of interest and relate those to phenotypic decisions, opening the door for “in vivo cell biology”. Third, combining IV‐MPM with additional imaging modalities or omics studies holds promise for linking the cell phenotype to its genotype, metabolic state, or tissue location. Finally, the clinical use of IV‐MPM for analyzing efficacy of anticancer treatments is steadily growing, suggesting a future role of IV‐MPM for personalized medicine. Conclusion IV‐MPM has revolutionized visualization of tumor‐microenvironment interactions in real time. Moving forward, incorporation of novel optics, automated image processing, and omics technologies in the study of cancer biology, will not only advance our understanding of the underlying complexities but will also leverage the unique aspects of IV‐MPM for clinical use.

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“…Jeremy Green is a developmental biologist who uses experiments to explore and test some of the big ideas that explain spatial organisation in biology. (Li et al 2016;Mao & Green 2017).…”

Section: Jeremy Greenmentioning

confidence: 99%

Turing’s Genius – Defining an apt microcosm

Bowen

Trickett

Green

et al. 2018

Electronic Workshops in Computing

Self Cite

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Turing (1912-1954) is widely acknowledged as a genius. As well as codebreaking during World War II and taking a pioneering role in computer hardware design and software after the War, he also wrote three important foundational papers in the fields of theoretical computer science, artificial intelligence, and mathematical biology. He has been called the father of computer science, but he also admired by mathematicians, philosophers, and perhaps more surprisingly biologists, for his wide-ranging ideas. His influence stretches from scientific to cultural and even political impact. For all these reasons, he was a true polymath. This paper considers the genius of Turing from various angles, both scientific and artistic. The four authors provide position statements on how Turing has influenced and inspired their work, together with short biographies, as a starting point for a panel session and visual music performance.

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Systems morphodynamics: understanding the development of tissue hardware

Cited by 7 publications

References 25 publications

Vertex models: from cell mechanics to tissue morphogenesis

Vertex models: from cell mechanics to tissue morphogenesis

Frontiers in intravital multiphoton microscopy of cancer

Turing’s Genius – Defining an apt microcosm

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