ArticlePLoS computational biology2013
Cell patterns emerge from coupled chemical and physical fields with cell proliferation dynamics: the Arabidopsis thaliana root as a study system.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Information-geometric optimization of transient dynamics in gene regulatory networks.Royal Society open science · 2026Article
- A mathematical model for pancreatic cancer during intraepithelial neoplasia.Royal Society open science · 2024Article
- Application of Green-enhanced Nano-lantern as a bioluminescent ratiometric indicator for measurement of Arabidopsis thaliana root apoplastic fluid pH.Plant, cell & environment · 2022Article
- A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis.Frontiers in genetics · 2021Review
- Information Processing in the Brain as Optimal Entropy Transport: A Theoretical Approach.Entropy (Basel, Switzerland) · 2020Article
- The recent advances in the mathematical modelling of human pluripotent stem cells.SN applied sciences · 2020Review
- Article
- Coherent directed movement toward food modeled inProceedings of the National Academy of Sciences of the United States of America · 2019Article
- Algorithm for a particle-based growth model for plant tissues.Royal Society open science · 2018Article
- Identifying the transition to the maturation zone in three ecotypes ofCommunicative & integrative biology · 2018Article
- Curvature-driven spatial patterns in growing 3D domains: A mechanochemical model for phyllotaxis.PloS one · 2018Article
- A dynamic genetic-hormonal regulatory network model explains multiple cellular behaviors of the root apical meristem of Arabidopsis thaliana.PLoS computational biology · 2017Article
- Identifying Developmental Zones in Maize Lateral Root Cell Length Profiles using Multiple Change-Point Models.Frontiers in plant science · 2017Article
- Wide and high resolution tension measurement using FRET in embryo.Scientific reports · 2016Article
- Spheroid Formation of Hepatocarcinoma Cells in Microwells: Experiments and Monte Carlo Simulations.PloS one · 2016Article
- Computational Modeling of Auxin: A Foundation for Plant Engineering.Frontiers in plant science · 2016Article
- A Dynamic Gene Regulatory Network Model That Recovers the Cyclic Behavior of Arabidopsis thaliana Cell Cycle.PLoS computational biology · 2015Article
- Modeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of development.Frontiers in genetics · 2015Review
- Coherent motions in confluent cell monolayer sheets.Biophysical journal · 2014Article
- Mathematical models light up plant signaling.The Plant cell · 2014Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A central issue in developmental biology is to uncover the mechanisms by which stem cells maintain their capacity to regenerate, yet at the same time produce daughter cells that differentiate and attain their ultimate fate as a functional part of a tissue or an organ. In this paper we propose that, during development, cells within growing organs obtain positional information from a macroscopic physical field that is produced in space while cells are proliferating. This dynamical interaction triggers and responds to chemical and genetic processes that are specific to each biological system. We chose the root apical meristem of Arabidopsis thaliana to develop our dynamical model because this system is well studied at the molecular, genetic and cellular levels and has the key traits of multicellular stem-cell niches. We built a dynamical model that couples fundamental molecular mechanisms of the cell cycle to a tension physical field and to auxin dynamics, both of which are known to play a role in root development. We perform extensive numerical calculations that allow for quantitative comparison with experimental measurements that consider the cellular patterns at the root tip. Our model recovers, as an emergent pattern, the transition from proliferative to transition and elongation domains, characteristic of stem-cell niches in multicellular organisms. In addition, we successfully predict altered cellular patterns that are expected under various applied auxin treatments or modified physical growth conditions. Our modeling platform may be extended to explicitly consider gene regulatory networks or to treat other developmental systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.