Plasticity of Synaptic Transmission in Human Stem Cell-Derived Neural Networks
Long-term potentiation and depression, inferred from analysis on brain slices, are considered the cellular processes underlying learning and memory formation. They have not so far been demonstrated in human stem cell-derived neurons. By expressing channelrhodopsin in hESCs-derived glutamate neurons...
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Veröffentlicht in: | iScience 2020-02, Vol.23 (2), p.100829-100829, Article 100829 |
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Sprache: | eng |
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Zusammenfassung: | Long-term potentiation and depression, inferred from analysis on brain slices, are considered the cellular processes underlying learning and memory formation. They have not so far been demonstrated in human stem cell-derived neurons. By expressing channelrhodopsin in hESCs-derived glutamate neurons and co-culturing them with GABA neurons, we found that blue light stimulation increased the frequency of miniature excitatory postsynaptic currents (mEPSCs) and decreased the ratio of paired pulse facilitation (PPF) in non-ChR2-expressing GABA neurons, indicating a facilitating action at the presynaptic terminals. When paired with postsynaptic depolarization, the repetitive stimulation significantly increased the amplitude of light-evoked EPSCs that persisted during the period, indicating long-term potentiation (LTP). In contrast, low-frequency light stimulation induced long-term depression (LTD). These effects were blocked by N-methyl-D-aspartic acid (NMDA) receptor antagonists, suggesting NMDA receptor-mediated synaptic plasticity in human neural networks. Furthermore, induced pluripotent stem cell (iPSC)-derived neurons of patient with Down syndrome showed absence of LTP or LTD. Thus, our platform offers a versatile model for assessing human neural plasticity under physiological and pathological conditions.
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•Repetitive stimulation induces LTP in hPSC-derived neural networks•Low-frequency light stimulation induces LTD in hPSCs-derived neural networks•The LTP/LTD in human neural networks are NMDAR dependent•Down syndrome neural networks exhibit defective LTP/LTD
Neuroscience; Cellular Neuroscience; Techniques in Neuroscience |
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ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2020.100829 |