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

How to fit in: The learning principles of cell differentiation.

PLoS computational biology - 1 Apr 2020

Brun-Usan Miguel, Thies Christoph, Watson Richard A

Abstract excerpt

Cell differentiation in multicellular organisms requires cells to respond to complex combinations of extracellular cues, such as morphogen concentrations. Some models of phenotypic plasticity conceptualise the response as a relatively simple function of a single environmental cues (e.g. a linear function of one cue), which facilitates rigorous analysis. Conversely, more mechanistic models such those implementing...

Read the complete abstract on PubMed

Topics

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

Share to Adaptation, Physiological
Share to Biological Evolution
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Developmental Biology

Share to Environment

Share to Gene Regulatory Networks

Share to Learning

Share to Selection, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 32282832
DOI: 10.1371/journal.pcbi.1006811
PMCID: PMC7179933

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

How to fit in: The learning principles of cell differentiation.PMID 32282832Read ↗

Origins of differentiation via phenotypic plasticity.Semantic proximity Read ↗

What does evolution make? Learning in living lineages and machines.Semantic proximity Read ↗

On the evolutionary origin of discrete phenotypic plasticity.Semantic proximity Read ↗

Evolution and maintenance of phenotypic plasticity.Semantic proximity Read ↗

The evolution of phenotypic correlations and "developmental memory".Semantic proximity Read ↗

Constraints on the evolution of phenotypic plasticity: limits and costs of phenotype and plasticity.Semantic proximity Read ↗

Plasticity-led and mutation-led evolutions are different modes of the same developmental gene regulatory network.Semantic proximity Read ↗

Plasticity-led evolution as an intrinsic property of developmental gene regulatory networks.Semantic proximity Read ↗

Development and selective grain make plasticity 'take the lead' in adaptive evolution.Semantic proximity Read ↗

Utilizing developmental dynamics for evolutionary prediction and control.Semantic proximity Read ↗

Phenotypic plasticity can facilitate adaptive evolution in gene regulatory circuits.Semantic proximity Read ↗

Genetic assimilation and accommodation: Models and mechanisms.Semantic proximity Read ↗

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