Literature DB >> 28426964

iPSC-Derived Human Microglia-like Cells to Study Neurological Diseases.

Edsel M Abud1, Ricardo N Ramirez2, Eric S Martinez1, Luke M Healy3, Cecilia H H Nguyen1, Sean A Newman4, Andriy V Yeromin5, Vanessa M Scarfone4, Samuel E Marsh6, Cristhian Fimbres7, Chad A Caraway7, Gianna M Fote1, Abdullah M Madany8, Anshu Agrawal9, Rakez Kayed10, Karen H Gylys11, Michael D Cahalan5, Brian J Cummings12, Jack P Antel3, Ali Mortazavi2, Monica J Carson8, Wayne W Poon13, Mathew Blurton-Jones14.   

Abstract

Microglia play critical roles in brain development, homeostasis, and neurological disorders. Here, we report that human microglial-like cells (iMGLs) can be differentiated from iPSCs to study their function in neurological diseases, like Alzheimer's disease (AD). We find that iMGLs develop in vitro similarly to microglia in vivo, and whole-transcriptome analysis demonstrates that they are highly similar to cultured adult and fetal human microglia. Functional assessment of iMGLs reveals that they secrete cytokines in response to inflammatory stimuli, migrate and undergo calcium transients, and robustly phagocytose CNS substrates. iMGLs were used to examine the effects of Aβ fibrils and brain-derived tau oligomers on AD-related gene expression and to interrogate mechanisms involved in synaptic pruning. Furthermore, iMGLs transplanted into transgenic mice and human brain organoids resemble microglia in vivo. Together, these findings demonstrate that iMGLs can be used to study microglial function, providing important new insight into human neurological disease.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D organoids; AD-GWAS; Alzheimer’s disease; Beta-amyloid; Tau; cell models of disease; induced pluripotent stem cells; microglia; mouse transplantation; neurodegenerative diseases

Mesh:

Substances:

Year:  2017        PMID: 28426964      PMCID: PMC5482419          DOI: 10.1016/j.neuron.2017.03.042

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


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