Mathematical Modelling in Plant Biology 2018
DOI: 10.1007/978-3-319-99070-5_6
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Single-Cell Approaches for Understanding Morphogenesis Using Computational Morphodynamics

Abstract: In multicellular organisms cells grow, divide and adopt different fates, resulting in tissues and organs with specific functions. In recent years, a number of studies have brought quantitative knowledge about how these processes are orchestrated, shedding new light on cells as active and central players in morphogenesis. We explore recent advances in understanding plant morphogenesis from a quantitative perspective, defining the research field of Computational Morphodynamics. The focus is on studies combining … Show more

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Cited by 3 publications
(4 citation statements)
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References 103 publications
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“…Over the past two decades, the study of pattern formation in biology has attracted the attention of many scientists from diverse fields, ranging from developmental biology, cell biology and synthetic biology, to physics, mathematics and computer science. Quantitative and interdisciplinary approaches have become essential for understanding these challenging phenomena [7,8].…”
Section: Editorial On the Research Topic Pattern Formation In Biologymentioning
confidence: 99%
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“…Over the past two decades, the study of pattern formation in biology has attracted the attention of many scientists from diverse fields, ranging from developmental biology, cell biology and synthetic biology, to physics, mathematics and computer science. Quantitative and interdisciplinary approaches have become essential for understanding these challenging phenomena [7,8].…”
Section: Editorial On the Research Topic Pattern Formation In Biologymentioning
confidence: 99%
“…Over the past two decades, the study of pattern formation in biology has attracted the attention of many scientists from diverse fields, ranging from developmental biology, cell biology and synthetic biology, to physics, mathematics and computer science. Quantitative and interdisciplinary approaches have become essential for understanding these challenging phenomena [7,8].This Research Topic contains a collection of articles and reviews that use quantitative and interdisciplinary perspectives to understand the underlying mechanisms driving biological pattern formation. Modeling morphogenetic processes, gene regulatory network dynamics and morphogen gradients link the articles of this Research Topic, with a focus on three research areas: 1) underlying mechanisms of patterning processes; 2) cross-talk of morphogenetic and pattern formation processes, and 3) mathematical methods for modeling and quantifying biological patterning and morphogenesis.…”
mentioning
confidence: 99%
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“…Recently, computational work has also focused on developing mechanistic models of cellfate decisions [31][32][33], especially the formation of patterns in time and space [34,35]. Multiscale approaches that combine probabilistic and deterministic models of tissues at the scale of individual cells have shown promise in helping to elucidate the details of tissue patterning [36][37][38][39][40].…”
Section: Introductionmentioning
confidence: 99%