Current tools to interrogate microglial biology.


Journal

Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320

Informations de publication

Date de publication:
15 09 2021
Historique:
received: 02 05 2021
revised: 23 06 2021
accepted: 06 07 2021
pubmed: 15 8 2021
medline: 6 10 2021
entrez: 14 8 2021
Statut: ppublish

Résumé

Microglial cells perform a plethora of functions in the central nervous system (CNS), involving them in brain development, maintenance of homeostasis in adulthood, and CNS diseases. Significant technical advancements have prompted the development of novel systems adapted to analyze microglia with increasing specificity and intricacy. The advent of single-cell technologies combined with targeted mouse models has been decisive in deciphering microglia heterogeneity and dissecting microglial functions. However sophisticated these tools have become, clear limitations remain. Understanding their pitfalls and advantages ensures their correct application. Therefore, we provide a guide to the cutting-edge methods currently available to dissect microglial biology.

Identifiants

pubmed: 34390649
pii: S0896-6273(21)00503-1
doi: 10.1016/j.neuron.2021.07.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2805-2819

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Anaelle Aurelie Dumas (AA)

Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany. Electronic address: anaelle.dumas@uniklinik-freiburg.de.

Katharina Borst (K)

Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany. Electronic address: katharina.borst@uniklinik-freiburg.de.

Marco Prinz (M)

Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany; Centre for NeuroModulation (NeuroModBasics), University of Freiburg, Freiburg, Germany; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany. Electronic address: marco.prinz@uniklinik-freiburg.de.

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Classifications MeSH