Evidence map›Paper›PMID 31276197›Full record

ArticleJournal of anatomy2019

Emergence of structure in mouse embryos: Structural Entropy morphometry applied to digital models of embryonic anatomy.

William Waites, Jamie A Davies

Abstract read
In one paragraph

Article in Journal of anatomy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. A thermodynamic perspective on mammalian neural crest ingression.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. The Ground Zero of Organismal Life and Aging.Trends in molecular medicine · 2021
    Review
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

2 authors.

William WaitesSchool of Informatics, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7759-6805
Jamie A DaviesDeanery of Biomedical Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-6660-4032

Funding

Biotechnology and Biological Sciences Research Council BB/M018040/1Engineering and Physical Sciences Research Council EP/J02175X/1MRCUK Research Councils Synthetic Biology for Growth
6 · The paper itself

Abstract

We apply an information-theoretic measure to anatomical models of the Edinburgh Mouse Atlas Project. Our goal is to quantify the anatomical complexity of the embryo and to understand how this quantity changes as the organism develops through time. Our measure, Structural Entropy, takes into account the geometrical character of the intermingling of tissue types in the embryo. It does this by a mathematical process that effectively imagines a point-like explorer that starts at an arbitrary place in the 3D structure of the embryo and takes a random path through the embryo, recording the sequence of tissues through which it passes. Consideration of a large number of such paths yields a probability distribution of paths making connections between specific tissue types, and Structural Entropy is calculated from this (mathematical details are given in the main text). We find that Structural Entropy generally decreases (order increases) almost linearly throughout developmental time (4-18 days). There is one `blip' of increased Structural Entropy across days 7-8: this corresponds to gastrulation. Our results highlight the potential for mathematical techniques to provide insight into the development of anatomical structure, and also the need for further sources of accurate 3D anatomical data to support analyses of this kind.

Indexed as

Models, TheoreticalAlgorithmsAnimalsEmbryonic DevelopmentEntropyMicedevelopmental anatomygraph theoryinformation theorymetricsmorphometry

Identifiers

PMID31276197
PMCPMC6742931

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Registered trials

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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.