Evidence map›Paper›PMID 29021161›Full record

ReviewJournal of the Royal Society, Interface2017

Network-based approaches to quantify multicellular development.

Matthew D B Jackson, Salva Duran-Nebreda, George W Bassel

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. The Elephant and the Spandrel.Evolution, medicine, and public health · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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 · 2019
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Matthew D B JacksonSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0003-0225-8235
Salva Duran-NebredaSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, UK.
George W BasselSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, UK g.w.bassel@bham.ac.uk.ORCID 0000-0002-3434-4499

Funding

Biotechnology and Biological Sciences Research Council BB/L010232/1Biotechnology and Biological Sciences Research Council BB/M01116X/1Biotechnology and Biological Sciences Research Council BB/N009754/1
6 · The paper itself

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.

Indexed as

Models, BiologicalAnimalsHumanscomplexitydevelopmentmulticellularitynetwork scienceself-organizationstructure–function

Identifiers

PMID29021161
PMCPMC5665831

What OpenQuestion holds

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Registered trials

None linked

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.