Reframing macrophage diversity with network motifs.

activation states functional modules macrophages networks motifs

Journal

Trends in immunology
ISSN: 1471-4981
Titre abrégé: Trends Immunol
Pays: England
ID NLM: 100966032

Informations de publication

Date de publication:
12 2023
Historique:
received: 22 09 2023
revised: 11 10 2023
accepted: 11 10 2023
medline: 27 11 2023
pubmed: 11 11 2023
entrez: 10 11 2023
Statut: ppublish

Résumé

A binary classification of macrophage activation as inflammatory or resolving does not capture the diversity of macrophage states observed in tissues. However, framing macrophage activation as a continuous spectrum of states overlooks the intracellular and extracellular networks that regulate and coordinate macrophage responses. Here, we suggest that the systems biology concept of network motifs, which incorporate rules of local molecular interactions, is useful for reframing macrophage activation. Because network motifs can be used to regulate distinct biological functions, they offer a simplified unit that can be compared across organismal, tissue, and disease contexts. Moreover, defining macrophage states as combinations of functional modules regulated by network motifs offers a framework to ultimately predict and target macrophage responses arising in complex environments.

Identifiants

pubmed: 37949786
pii: S1471-4906(23)00216-8
doi: 10.1016/j.it.2023.10.009
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

965-970

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM123011
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA238728
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of interests No interests are declared.

Auteurs

Gabriela A Pizzurro (GA)

Department of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.

Kathryn Miller-Jensen (K)

Department of Biomedical Engineering, Yale University, New Haven, CT 06511, USA; Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA. Electronic address: kathryn.miller-jensen@yale.edu.

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Classifications MeSH