ReviewJournal of the Royal Society, Interface2017
Network-based approaches to quantify multicellular development.
Review in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Lateral inhibition governs ancestral cellular patterning in fossil and extant liverworts.Development (Cambridge, England) · 2026Article
- Adaptive Mechanical Metamaterials with On-Demand Binary Local Modulus for Embodied Intelligence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The Elephant and the Spandrel.Evolution, medicine, and public health · 2025Article
- Tissues as networks of cells: towards generative rules of complex organ development.Journal of the Royal Society, Interface · 2023Review
- Composition, structure and robustness of Lichen guilds.Scientific reports · 2023Article
- The Random Plots Graph Generation Model for Studying Systems with Unknown Connection Structures.Entropy (Basel, Switzerland) · 2022Article
- Small subpopulations of β-cells do not drive islet oscillatory [Ca2+] dynamics via gap junction communication.PLoS computational biology · 2021Article
- Efficient vasculature investment in tissues can be determined without global information.Journal of the Royal Society, Interface · 2020Article
- Plant behaviour in response to the environment: information processing in the solid state.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Global Topological Order Emerges through Local Mechanical Control of Cell Divisions in the Arabidopsis Shoot Apical Meristem.Cell systems · 2019Article
- Fluorescein Transport Assay to Assess Bulk Flow of Molecules Through the Hypocotyl inBio-protocol · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Multicellularity and cellular cooperation confer novel functions on organs following a structure-function relationship. How regulated cell migration, division and differentiation events generate cellular arrangements has been investigated, providing insight into the regulation of genetically encoded patterning processes. Much less is known about the higher-order properties of cellular organization within organs, and how their functional coordination through global spatial relations shape and constrain organ function. Key questions to be addressed include: why are cells organized in the way they are? What is the significance of the patterns of cellular organization selected for by evolution? What other configurations are possible? These may be addressed through a combination of global cellular interaction mapping and network science to uncover the relationship between organ structure and function. Using this approach, global cellular organization can be discretized and analysed, providing a quantitative framework to explore developmental processes. Each of the local and global properties of integrated multicellular systems can be analysed and compared across different tissues and models in discrete terms. Advances in high-resolution microscopy and image analysis continue to make cellular interaction mapping possible in an increasing variety of biological systems and tissues, broadening the further potential application of this approach. Understanding the higher-order properties of complex cellular assemblies provides the opportunity to explore the evolution and constraints of cell organization, establishing structure-function relationships that can guide future organ design.
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Registered trials
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.