The evolution of developmental biology through conceptual and technological revolutions.


Journal

Cell
ISSN: 1097-4172
Titre abrégé: Cell
Pays: United States
ID NLM: 0413066

Informations de publication

Date de publication:
13 Jun 2024
Historique:
received: 12 04 2024
revised: 28 05 2024
accepted: 29 05 2024
medline: 22 6 2024
pubmed: 22 6 2024
entrez: 21 6 2024
Statut: aheadofprint

Résumé

Developmental biology-the study of the processes by which cells, tissues, and organisms develop and change over time-has entered a new golden age. After the molecular genetics revolution in the 80s and 90s and the diversification of the field in the early 21st century, we have entered a phase when powerful technologies provide new approaches and open unexplored avenues. Progress in the field has been accelerated by advances in genomics, imaging, engineering, and computational biology and by emerging model systems ranging from tardigrades to organoids. We summarize how revolutionary technologies have led to remarkable progress in understanding animal development. We describe how classic questions in gene regulation, pattern formation, morphogenesis, organogenesis, and stem cell biology are being revisited. We discuss the connections of development with evolution, self-organization, metabolism, time, and ecology. We speculate how developmental biology might evolve in an era of synthetic biology, artificial intelligence, and human engineering.

Identifiants

pubmed: 38906136
pii: S0092-8674(24)00632-9
doi: 10.1016/j.cell.2024.05.053
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Prisca Liberali (P)

Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; University of Basel, Basel, Switzerland. Electronic address: prisca.liberali@fmi.ch.

Alexander F Schier (AF)

Biozentrum, University of Basel, Basel, Switzerland. Electronic address: alex.schier@unibas.ch.

Classifications MeSH