Evidence map›Paper›PMID 33972585›Full record

ArticleScientific reports2021

Influence of survival, promotion, and growth on pattern formation in zebrafish skin.

Christopher Konow, Ziyao Li, Samantha Shepherd, Domenico Bullara, Irving R Epstein

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.1field-weighted citation impact, top 21% of its field
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, 10 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Christopher KonowDepartment of Chemistry, Brandeis University, Waltham, MA, 02453, USA.
Ziyao LiDepartment of Chemistry, Brandeis University, Waltham, MA, 02453, USA.
Samantha ShepherdDepartment of Chemistry, Brandeis University, Waltham, MA, 02453, USA.
Domenico BullaraDepartment of Chemistry, Brandeis University, Waltham, MA, 02453, USA.
Irving R EpsteinDepartment of Chemistry, Brandeis University, Waltham, MA, 02453, USA. epstein@brandeis.edu.
Brandeis University · US

Funding

National Science Foundation CHE-1856484
6 · The paper itself

Abstract

The coloring of zebrafish skin is often used as a model system to study biological pattern formation. However, the small number and lack of movement of chromatophores defies traditional Turing-type pattern generating mechanisms. Recent models invoke discrete short-range competition and long-range promotion between different pigment cells as an alternative to a reaction-diffusion scheme. In this work, we propose a lattice-based "Survival model," which is inspired by recent experimental findings on the nature of long-range chromatophore interactions. The Survival model produces stationary patterns with diffuse stripes and undergoes a Turing instability. We also examine the effect that domain growth, ubiquitous in biological systems, has on the patterns in both the Survival model and an earlier "Promotion" model. In both cases, domain growth alone is capable of orienting Turing patterns above a threshold wavelength and can reorient the stripes in ablated cells, though the wavelength for which the patterns orient is much larger for the Survival model. While the Survival model is a simplified representation of the multifaceted interactions between pigment cells, it reveals complex organizational behavior and may help to guide future studies.

Indexed as

Models, BiologicalAnimalsBody PatterningCell CommunicationCell ProliferationCell SurvivalMarkov ChainsMelanophoresModels, AnimalMonte Carlo MethodSkin PigmentationZebrafish

Identifiers

PMID33972585
PMCPMC8110552
OpenAlexW3160236045

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.