High-Fidelity Modeling of Human Microglia with Pluripotent Stem Cells

Peng Jiang; Luka Turkalj; Ranjie Xu

doi:10.1016/j.stem.2020.04.004

High-Fidelity Modeling of Human Microglia with Pluripotent Stem Cells

Peng Jiang, Luka Turkalj, Ranjie Xu

School of Arts and Sciences, Cell Biology & Neuroscience

Research output: Contribution to journal › Comment/debate › peer-review

7 Scopus citations

Abstract

Gosselin et al. (2017) reported that a tissue-environment-dependent transcriptional network specifies human microglia identity and that in vitro environments drastically alter the human microglia transcriptome. Recent 3-dimensional culture and human-mouse chimeric brain modeling systems developed using human pluripotent stem cells help us understand the complex properties of human microglia.

Original language	English (US)
Pages (from-to)	629-631
Number of pages	3
Journal	Cell Stem Cell
Volume	26
Issue number	5
DOIs	https://doi.org/10.1016/j.stem.2020.04.004
State	Published - May 7 2020

All Science Journal Classification (ASJC) codes

Molecular Medicine
Genetics
Cell Biology

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10.1016/j.stem.2020.04.004

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title = "High-Fidelity Modeling of Human Microglia with Pluripotent Stem Cells",

abstract = "Gosselin et al. (2017) reported that a tissue-environment-dependent transcriptional network specifies human microglia identity and that in vitro environments drastically alter the human microglia transcriptome. Recent 3-dimensional culture and human-mouse chimeric brain modeling systems developed using human pluripotent stem cells help us understand the complex properties of human microglia.",

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High-Fidelity Modeling of Human Microglia with Pluripotent Stem Cells

Abstract

All Science Journal Classification (ASJC) codes

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