Efficient Derivation of Excitatory and Inhibitory Neurons from Human Pluripotent Stem Cells Stably Expressing Direct Reprogramming Factors.
Efficient Derivation of Excitatory and Inhibitory Neurons from Human Pluripotent Stem Cells Stably Expressing Direct Reprogramming Factors.
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DOI:
10.1002/cpz1.141
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发表时间:
2021-06
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影响因子:
--
通讯作者:
Sproul A
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文献类型:
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作者:
Song S;Ashok A;Williams D;Kaufman M;Duff K;Sproul A
It is essential to generate isolated populations of human neuronal subtypes in order to understand cell-type specific roles in brain function and susceptibility to disease pathology. Here we describe a protocol for in-parallel generation of cortical glutamatergic (excitatory) and GABAergic (inhibitory) neurons from human pluripotent stem cells (hPSCs) by using the neurogenic transcription factors (TFs) Ngn2, and the combination of Ascl1 and Dlx2, respectively. In contrast to the majority of neural transdifferentiation protocols which use transient lentiviral infection, this protocol utilizes stable hPSC lines with doxycycline-inducible TFs, which can then be neuronally differentiated by addition of doxycycline and neural media. First, we present a method to generate lentivirus from mammalian cultured cells and establish TFs-incorporated stable cell lines (Basic Protocol 1), and then we describe a monolayer excitatory and inhibitory neuronal differentiation derived from the established hPSCs (Basic Protocol 2). The resulting neurons reproducibly exhibit properties consistent with human cortical neurons, including the expected morphologies, expression of glutamatergic and GABAergic genes, and functional properties. Our approach enables the scalable and rapid production of human neurons suitable for modeling human brain diseases in a subtype-specific manner and examination of differential cellular vulnerability. Basic Protocol 1: LENTIVIRUS PRODUCTION AND CREATION OF STABLE hPSC LINES Basic Protocol 2: EX-, and IN-neuron differentiation Support Protocol 1: Expansion and maintenance of hPSCs Support Protocol 2: Experimental methods for validation of EX- and IN-neurons