Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Variational Approach to Morphogenesis : Recovering Spatial Phenotypic Features from Epigenetic Landscapes.

Bulletin of mathematical biology - 24 Jan 2022

Cortés-Poza Yuriria, Padilla-Longoria Pablo

Abstract excerpt

We model the process of cell fate determination of the flower Arabidopsis-thaliana employing a system of reaction-diffusion equations governed by a potential field. This potential field mimics the flower's epigenetic landscape as defined by Waddington. It is derived from the underlying genetic regulatory network (GRN), which is based on detailed experimental data obtained during cell fate determination in the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Arabidopsis
Share to Epigenesis, Genetic
Share to Flowers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Mathematical Concepts

Share to Models, Biological

Share to Morphogenesis

Share to Phenotype

Source

Identifiers

PMID: 35072810
DOI: 10.1007/s11538-022-00993-w

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Variational Approach to Morphogenesis : Recovering Spatial Phenotypic Features from Epigenetic Landscapes.PMID 35072810Read ↗

Topological Structure of Epigenetic Forests in Flower Morphogenesis.Semantic proximity Read ↗

Bioattractors: dynamical systems theory and the evolution of regulatory processes.Semantic proximity Read ↗

General theory of genotype to phenotype mapping: derivation of epigenetic landscapes from N-node complex gene regulatory networks.Semantic proximity Read ↗

A gene regulatory network model for cell-fate determination during Arabidopsis thaliana flower development that is robust and recovers experimental gene expression profiles.Semantic proximity Read ↗

Vector field embryogeny.Semantic proximity Read ↗

Network function shapes network structure: the case of the Arabidopsis flower organ specification genetic network.Semantic proximity Read ↗

Reconstructing an epigenetic landscape using a genetic pulling approach.Semantic proximity Read ↗

On a Stochastic PDE Model for Epigenetic DynamicsSemantic proximity Read ↗

Continuous-time modeling of cell fate determination in Arabidopsis flowers.Semantic proximity Read ↗

Dynamics and mechanical stability of the developing dorsoventral organizer of the wing imaginal disc.Semantic proximity Read ↗

Constructing quantitative models from qualitative mutant phenotypes: preferences in selecting sensory organ precursors.Semantic proximity Read ↗

Genetic control of flower morphogenesis in Arabidopsis thaliana: a logical analysis.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.