Evidence map›Paper›PMID 40633503›Full record

ReviewSeminars in cell & developmental biology2025

Coping with uncertainty: Challenges for robust pattern formation in dynamical tissues.

Tony Yu-Chen Tsai, Diana Pinheiro

Abstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Positional information and information flows in dynamic tissues.bioRxiv : the preprint server for biology · 2026
    Article
  2. 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.

Tony Yu-Chen TsaiDepartment of Developmental Biology, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address: tonytsai@wustl.edu.
Diana PinheiroResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna 1030, Austria. Electronic address: diana.pinheiro@imp.ac.at.

Funding

Principles of Mechanochemical Signal Integration Underlying Developmental RobustnessR35GM150759 · NIGMS · WASHINGTON UNIVERSITY · PI Tony Yu-Chen Tsai · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150759
6 · The paper itself

Abstract

An outstanding question in biology is how tissue patterning emerges during development. The concept of positional information, which posits that gradients of morphogens instruct cell fate in a concentration-dependent manner, has been an influential framework to understand pattern formation. Recent studies, however, highlight that developing tissues are highly dynamic, with cellular movements, arising from local mechanical fluctuations or global morphogenetic forces, that often coincide with morphogen signaling and cell fate specification. This calls for a more dynamic understanding of pattern formation by explicitly investigating the interplay between signaling, cell fate and morphogenesis. In this review, we first discuss emerging evidence on the role of cellular movements in modulating signaling dosage and cell fate acquisition. We then examine the biophysical strategies employed by developing tissues to achieve robust patterning despite ongoing cellular dynamics and large-scale morphogenesis. While cellular movements may intuitively be viewed as disruptive to patterning programs, recent evidence suggests that when coupled with cell fate, they can act as a critical mechanism for generating and stabilizing precise tissue patterns during development.

Indexed as

Body PatterningAnimalsCell DifferentiationCell MovementHumansMorphogenesisSignal TransductionUncertaintyCell migrationCell sortingMorphogenesisMorphogen signalingPattern formation

Identifiers

PMID40633503
PMCPMC12402173

What Socratic holds

Textmetadata
LicenceTDM
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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 Socratic graph.