Single-cell approaches for understanding morphogenesis using Computational Morphodynamics
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Authors
Jonsson, SH
Formosa-Jordan, Pau
Teles, Jose
Publication Date
2018Journal Title
Mathematical Modelling in Plant Biology
ISBN
978-3-319-99070-5
Publisher
Springer Nature
Pages
87-106
Type
Book chapter
Metadata
Show full item recordCitation
Jonsson, S., Formosa-Jordan, P., & Teles, J. (2018). Single-cell approaches for understanding morphogenesis using Computational Morphodynamics. Springer Nature, Mathematical Modelling in Plant Biology. [Book chapter]. https://doi.org/10.1007/978-3-319-99070-5_6
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, shed-ding 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 re-search field of Computational Morphodynamics. The focus is on studies combining theoretical and experimental approaches integrating hypotheses of how molecular and mechanical regulation at the cellular level lead to tissue behaviour. Finally, we dis-cuss some of the main challenges for future work.
Keywords
Networking and Information Technology R&D (NITRD), 1.1 Normal biological development and functioning, 1 Underpinning research, Generic health relevance
Sponsorship
Gatsby Charitable Foundation (unknown)
Gatsby Charitable Foundation (GAT3395/PR4)
Identifiers
External DOI: https://doi.org/10.1007/978-3-319-99070-5_6
This record's DOI: https://doi.org/10.17863/CAM.74964
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
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