Redefining Microglial Identity in Health and Disease at Single-Cell Resolution
| Autor: | María José Pérez, Francesca Provenzano, Michela Deleidi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Proteomics
0301 basic medicine Disease stages Cell Population Identity (social science) Disease Biology 03 medical and health sciences 0302 clinical medicine medicine Animals Homeostasis Humans Metabolomics ddc:610 Functional studies education Molecular Biology methods [Single-Cell Analysis] education.field_of_study Microglia methods [Genomics] Genomics methods [Metabolomics] physiology [Microglia] 030104 developmental biology medicine.anatomical_structure Molecular Medicine Disease Susceptibility methods [Proteomics] Single-Cell Analysis Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Trends in molecular medicine 27(1), 47-59 (2021). doi:10.1016/j.molmed.2020.09.001 |
| ISSN: | 1471-4914 |
| DOI: | 10.1016/j.molmed.2020.09.001 |
| Popis: | Microglia have long been considered a homogenous cell population that uniformly responds to extrinsic factors. Here, we describe how the recent development of single-cell technologies has revealed the heterogeneity of both human and mouse microglia and identified distinct microglial states linked to specific developmental, aging, and disease stages. We discuss progress and future developments in data analysis, essential tools for the comprehension of big data derived from single-cell omics, and the necessity of integrating such data with functional studies to correlate genetic cues with the relevant biological functions of microglia. Defining the functional correlates of distinct microglia states is fundamental to dissecting the 'microglial etiology' of aging and complex neurological diseases and identifying novel therapeutic and diagnostic targets. |
| Databáze: | OpenAIRE |
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