Evidence map›Paper›PMID 30357803›Full record

ReviewDevelopment, growth & differentiation2018

Statistical theory of branching morphogenesis.

Edouard Hannezo, Benjamin D Simons

Abstract readReview
In one paragraph

Review in Development, growth & differentiation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Biophysics of lumen morphogenesis.Development (Cambridge, England) · 2026
    Review
  2. Article
  3. PDX1 as a Marker of Early Differentiation of Human Pancreatic Duct Cells.Bulletin of experimental biology and medicine · 2024
    Article
  4. Statistical theory of branching morphogenesis.Development, growth & differentiation · 2018
    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.

Edouard HannezoIST Austria, Klosterneuburg, Austria.
Benjamin D SimonsThe Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-3875-7071

Funding

Medical Research Council MC_PC_12009Wellcome Trust 092096Wellcome Trust 098357/Z/12/Z
6 · The paper itself

Abstract

Branching morphogenesis remains a subject of abiding interest. Although much is known about the gene regulatory programs and signaling pathways that operate at the cellular scale, it has remained unclear how the macroscopic features of branched organs, including their size, network topology and spatial patterning, are encoded. Lately, it has been proposed that, these features can be explained quantitatively in several organs within a single unifying framework. Based on large-scale organ reconstructions and cell lineage tracing, it has been argued that morphogenesis follows from the collective dynamics of sublineage-restricted self-renewing progenitor cells, localized at ductal tips, that act cooperatively to drive a serial process of ductal elongation and stochastic tip bifurcation. By correlating differentiation or cell cycle exit with proximity to maturing ducts, this dynamic results in the specification of a complex network of defined density and statistical organization. These results suggest that, for several mammalian tissues, branched epithelial structures develop as a self-organized process, reliant upon a strikingly simple, but generic, set of local rules, without recourse to a rigid and deterministic sequence of genetically programmed events. Here, we review the basis of these findings and discuss their implications.

Indexed as

Models, BiologicalMorphogenesisAnimalsCell LineageCell ProliferationEpithelial CellsEpitheliumHumansKidneyPancreasbiophysical conceptsmammary glandmorphogenesisstatistical modelstem cell

Identifiers

PMID30357803
PMCPMC6334508

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.