2020
DOI: 10.1101/2020.07.12.189621
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Wide spectrum of neuronal and network phenotypes in human stem cell-derived excitatory neurons with Rett syndrome-associatedMECP2mutations

Abstract: Rett syndrome (RTT) is a severe neurodevelopmental disorder primarily caused by heterozygous loss-of-function mutations in the X-linked gene methyl-CpG-binding protein 2 (MECP2) that is a global transcriptional regulator. Mutations in the methyl-binding domain (MBD) of MECP2 disrupt its interaction with methylated DNA required for proper function in the brain. Here, we investigate the effect of a novel MECP2 L124W missense mutation in the MBD in comparison to MECP2 null mutations. L124W protein had a limited a… Show more

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Cited by 2 publications
(2 citation statements)
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References 65 publications
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“…The cells were plated on laminin coated plates and luciferase activity was determined 10 days later. In accordance with previous reports ( Andoh-Noda et al, 2015 ; Mok et al, 2020 ), we found that MECP2 silenced NSCs displayed preferential expression of the glial differentiation marker (GFAP) with a concomitant decrease in expression of the neuronal differentiation marker (MAP2) ( Figure 3C ). The MECP2 silenced astrocytes expressed lower levels of Excitatory Amino Acid Transporter 2 (EAAT2), indicating impaired function of these cells, as was suggested for mouse astrocytes ( Okabe et al, 2012 ; Figure 3D ).…”
Section: Resultssupporting
confidence: 93%
“…The cells were plated on laminin coated plates and luciferase activity was determined 10 days later. In accordance with previous reports ( Andoh-Noda et al, 2015 ; Mok et al, 2020 ), we found that MECP2 silenced NSCs displayed preferential expression of the glial differentiation marker (GFAP) with a concomitant decrease in expression of the neuronal differentiation marker (MAP2) ( Figure 3C ). The MECP2 silenced astrocytes expressed lower levels of Excitatory Amino Acid Transporter 2 (EAAT2), indicating impaired function of these cells, as was suggested for mouse astrocytes ( Okabe et al, 2012 ; Figure 3D ).…”
Section: Resultssupporting
confidence: 93%
“…Drug compounds which showed success in elevating synapse numbers in this imaging assay were then trialed in follow-up MEA experiments, which confirmed that both identified compounds were able to rescue altered network activity as well. Mok et al (2021) utilize a similar in silico model to aid in the characterization and interpretation of Rett syndrome MEA phenotyping data [ 96 ]. Biophysical simulations showed that networks of adaptive leaky integrate-and-fire neurons constructed with Rett-like intrinsic membrane properties generate patterns of network activity which mirrored the phenotypes seen in real in vitro MEA recordings.…”
Section: Expanding the Mea Analysis Toolkit In Ipsc Disease Modelingmentioning
confidence: 99%