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Efficient derivation of microglia-like cells from human pluripotent stem cells

GSE85839 Homo sapiens Expression profiling by high throughput sequencing 16 samples Submitted 2016/09/26 Platform GPL16791
Summary
Microglia-like cells and neural cells were generated from several hES and hIPS lines. As subset was characterized by RNA seq and compared to expression profiles of published primary and induced samples. ABSTRACT: Microglia, the only lifelong resident immune cells of the central nervous system (CNS), are highly specialized macrophages which have been recognized to play a crucial role in neurodegenerative diseases such as Alzheimer’s, Parkinson’s and Adrenoleukodystrophy (ALD). However, in contrast to other cell types of the human CNS, bona fide microglia have not yet been derived from cultured human pluripotent stem cells. Here we establish a robust and efficient protocol for the rapid production of microglia-like cells from human embryonic stem (ES) and induced pluripotent stem (iPS) cells that uses defined serum-free culture conditions. These in vitro pluripotent stem cell-derived microglia-like cells (termed pMGLs) faithfully recapitulate the expected ontogeny and characteristics of their in vivo counterparts and resemble primary fetal human and mouse microglia. We generated these cells from multiple disease-specific cell lines, and find that pMGLs derived from MeCP2 mutant hES cells are smaller than their isogenic controls. We further describe a culture platform to study integration and live behavior of pMGLs in organotypic 3D-cultures. This modular differentiation system allows the study of microglia in highly defined conditions, as they mature in response to developmentally relevant cues, and provides a framework to study the long-term interaction of microglia residing in a tissue-like environment.
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Direct links to NCBI, no account and no request form: the whole study as GSE85839_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 16 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA339538 and SRA study SRP082406. Searching any of these in the dataset finder brings you back here.

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