Evidence map›Paper›PMID 27496334›Full record

ReviewSeminars in cell & developmental biology2017

Using cell deformation and motion to predict forces and collective behavior in morphogenesis.

Matthias Merkel, M Lisa Manning

Abstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Mechanical control in dental and jaw morphogenesis and remodeling.International journal of oral science · 2026
    Review
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  6. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  7. Article
  8. Choice of friction coefficient deeply affects tissue behaviour in stochastic epithelial vertex models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  9. Article
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  11. The mechano-chemical circuit drives skin organoid self-organization.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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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.

Matthias MerkelDepartment of Physics, Syracuse University, Syracuse, NY 13244, United States.
M Lisa ManningDepartment of Physics, Syracuse University, Syracuse, NY 13244, United States. Electronic address: mmanning@syr.edu.

Funding

Quantitative Modeling of Cell Shape Changes During OrganogenesisR01GM117598 · NIGMS · SYRACUSE UNIVERSITY · PI MANNING, MARY ELIZABETH LISA · 2015 to 2018
$1.0M
NIGMS NIH HHS R01 GM117598
6 · The paper itself

Abstract

In multi-cellular organisms, morphogenesis translates processes at the cellular scale into tissue deformation at the scale of organs and organisms. To understand how biochemical signaling regulates tissue form and function, we must understand the mechanical forces that shape cells and tissues. Recent progress in developing mechanical models for tissues has led to quantitative predictions for how cell shape changes and polarized cell motility generate forces and collective behavior on the tissue scale. In particular, much insight has been gained by thinking about biological tissues as physical materials composed of cells. Here we review these advances and discuss how they might help shape future experiments in developmental biology.

Indexed as

Mechanotransduction, CellularAnimalsBiomechanical PhenomenaCell CommunicationCell DivisionCell MovementCell ShapeCytoskeletonDrosophila melanogasterEmbryo, NonmammalianEpithelial CellsModels, BiologicalMorphogenesisStress, MechanicalWings, AnimalZebrafishCollective motionDeformationEpitheliumJammingMorphogenesisTissue mechanics

Identifiers

PMID27496334
PMCPMC5290285

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.