Diversity of transcriptomic microglial phenotypes in aging and Alzheimer’s disease
Diversity of transcriptomic microglial phenotypes in aging and Alzheimer’s disease
The morphological plasticity of microglia has fascinated neuroscientists for 100 years. Attempts to classify functional phenotypes are hampered by similarities between endogenous brain microglia and peripheral myeloid cells that can enter the brain under pathological conditions. Recent advances in single cell -omic methodologies have led to an explosion of data regarding gene expression in microglia. Herein, we review the diversity of microglial phenotypes in healthy brain, aging and Alzheimer’s disease, identify knowledge gaps in the body of evidence and suggest areas where new knowledge would be useful. Data from human samples and mouse models are compared and contrasted. Understanding the molecular complexity of the microglial response repertoire will suggest new avenues for therapeutic treatments in Alzheimer’s disease.
Boche, Delphine
bdcca10e-6302-4dd0-919f-67218f7e0d61
Gordon, Marcia
a31c77ed-83cc-4681-bba5-e7249b91a5e6
2 May 2021
Boche, Delphine
bdcca10e-6302-4dd0-919f-67218f7e0d61
Gordon, Marcia
a31c77ed-83cc-4681-bba5-e7249b91a5e6
Boche, Delphine and Gordon, Marcia
(2021)
Diversity of transcriptomic microglial phenotypes in aging and Alzheimer’s disease.
Alzheimer's & Dementia, [ADJ-D-20-01327R2].
Abstract
The morphological plasticity of microglia has fascinated neuroscientists for 100 years. Attempts to classify functional phenotypes are hampered by similarities between endogenous brain microglia and peripheral myeloid cells that can enter the brain under pathological conditions. Recent advances in single cell -omic methodologies have led to an explosion of data regarding gene expression in microglia. Herein, we review the diversity of microglial phenotypes in healthy brain, aging and Alzheimer’s disease, identify knowledge gaps in the body of evidence and suggest areas where new knowledge would be useful. Data from human samples and mouse models are compared and contrasted. Understanding the molecular complexity of the microglial response repertoire will suggest new avenues for therapeutic treatments in Alzheimer’s disease.
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Published date: 2 May 2021
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Local EPrints ID: 448989
URI: http://eprints.soton.ac.uk/id/eprint/448989
ISSN: 1552-5260
PURE UUID: c6c99380-e538-4c32-897d-da52b9e4816a
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Date deposited: 12 May 2021 16:49
Last modified: 14 Mar 2024 02:44
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Author:
Marcia Gordon
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