Resource allocation in mammalian systems.

Multicellularity Optimality Resource allocation Systems biology Trade-offs

Journal

Biotechnology advances
ISSN: 1873-1899
Titre abrégé: Biotechnol Adv
Pays: England
ID NLM: 8403708

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 03 08 2023
revised: 17 12 2023
accepted: 18 12 2023
medline: 13 1 2024
pubmed: 13 1 2024
entrez: 12 1 2024
Statut: aheadofprint

Résumé

Cells execute biological functions to support phenotypes such as growth, migration, and secretion. Complementarily, each function of a cell has resource costs that constrain phenotype. Resource allocation by a cell allows it to manage these costs and optimize their phenotypes. In fact, the management of resource constraints (e.g., nutrient availability, bioenergetic capacity, and macromolecular machinery production) shape activity and ultimately impact phenotype. In mammalian systems, quantification of resource allocation provides important insights into higher-order multicellular functions; it shapes intercellular interactions and relays environmental cues for tissues to coordinate individual cells to overcome resource constraints and achieve population-level behavior. Furthermore, these constraints, objectives, and phenotypes are context-dependent, with cells adapting their behavior according to their microenvironment, resulting in distinct steady-states. This review will highlight the biological insights gained from probing resource allocation in mammalian cells and tissues.

Identifiants

pubmed: 38215956
pii: S0734-9750(23)00212-4
doi: 10.1016/j.biotechadv.2023.108305
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

108305

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no competing interests.

Auteurs

Hratch M Baghdassarian (HM)

Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA.

Nathan E Lewis (NE)

Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: nlewisres@ucsd.edu.

Classifications MeSH