Evidence map›Paper›PMID 37160971›Full record

ArticleScientific reports2023

Robust morphogenesis by chaotic dynamics.

J Reinitz, S Vakulenko, I Sudakow, D Grigoriev

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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. Article
  2. Article
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

4 authors.

J ReinitzDepartments of Statistics, Ecology and Evolution, Molecular Genetics and Cell Biology, University of Chicago, Chicago, IL, 60637, USA.
S Vakulenko *Institute for Problems in Mechanical Engineering, Russian Academy of Sciences, Saint Petersburg, 199178, Russia.
I Sudakow *School of Mathematics and Statistics, The Open University, Milton Keynes, MK7 6AA, UK. ivan.sudakow@open.ac.uk.
D GrigorievCNRS, Mathématiques, Université de Lille, Villeneuve d'Ascq, 59655, France.

Funding

Physiological Model of Gene Regulation in DrosophilaR01OD010936 · OD · UNIVERSITY OF CHICAGO · PI ALLESINA, STEFANO, LUDWIG, MICHAEL · 2012 to 2023
$6.3M
NIH HHS 2R01 OD010936NIH HHS R01 OD010936
6 · The paper itself

Abstract

This research illustrates that complex dynamics of gene products enable the creation of any prescribed cellular differentiation patterns. These complex dynamics can take the form of chaotic, stochastic, or noisy chaotic dynamics. Based on this outcome and previous research, it is established that a generic open chemical reactor can generate an exceptionally large number of different cellular patterns. The mechanism of pattern generation is robust under perturbations and it is based on a combination of Turing's machines, Turing instability and L. Wolpert's gradients. These results can help us to explain the formidable adaptive capacities of biochemical systems.

Indexed as

Drugs, GenericRNAMorphogenesisDrugs, GenericRNA

Identifiers

PMID37160971
PMCPMC10170119

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.