2021
DOI: 10.1186/s13041-020-00716-z
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Conditional knock out of transcription factor CTCF in excitatory neurons induces cognitive deficiency

Abstract: CCCTC-binding factor (CTCF) is a transcription factor that is involved in organizing chromatin structure. A reduction of CTCF expression is known to develop distinct clinical features. Furthermore, conditional knock out (cKO) study revealed reactive gliosis of astrocytes and microglia followed by age-dependent cell death in the excitatory neurons of CTCF cKO mice. To assess the cognitive ability in CTCF cKO mice of over 20 weeks of age, we examined pairwise discrimination (PD), PD reversal learning (PDr), and … Show more

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Cited by 23 publications
(13 citation statements)
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“…As found for V1396M, Y1385C also favors channel opening by voltage (gain-of-function) [ 21 ]. However, Y1385C has the contrary effect on Ca V 2.1 current density, which is strongly reduced by the mutation without alteration of channel trafficking to the cell membrane (loss-of-function) [ 21 ]. Besides, Y1385C also reduces the voltage threshold for channel inactivation (loss-of-function).…”
Section: Discussionmentioning
confidence: 84%
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“…As found for V1396M, Y1385C also favors channel opening by voltage (gain-of-function) [ 21 ]. However, Y1385C has the contrary effect on Ca V 2.1 current density, which is strongly reduced by the mutation without alteration of channel trafficking to the cell membrane (loss-of-function) [ 21 ]. Besides, Y1385C also reduces the voltage threshold for channel inactivation (loss-of-function).…”
Section: Discussionmentioning
confidence: 84%
“…The functional consequences of a third mutation at the S5 segment of Ca V 2.1 domain III, Y1385C, has been recently reported and both gain- and loss-of-function effects have been observed [ 21 ]. As found for V1396M, Y1385C also favors channel opening by voltage (gain-of-function) [ 21 ].…”
Section: Discussionmentioning
confidence: 99%
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“…The two-tailed GSEA (GSEA-2T) is used to check if the regulon is positively or negatively associated with the gene expression and finally assesses their significance expression meaning that a large positive enrichment score (ES) represents an activated regulon, whereas a large negative ES represents a repressed regulon. We used a list of 17 TFs ( CREB, MEF2, Npas4, SRF, CTCF, TCF4, DREAM, KChIP3, MeCP2, FOXP2, ZNF, SP3, ptf1a, REST, OTX2, XBP1, FOXO ) which have already been discussed in relation to cognitive function (Manolopoulos et al, 2010 ; Wang and Konopka, 2013 ; Nonaka et al, 2014 ; Mozzi et al, 2017 ; Hwang and Zukin, 2018 ; Xiao et al, 2018 ; Badowska et al, 2020 ; Choi et al, 2021 ) and performed GSEA-2T with a default p -value cut-off set to 0.05 and using 10,000 permutations to identify significant regulons associated with cognitive function in our gene expression data ( https://bioconductor.org/packages/devel/bioc/vignettes/RTN/inst/doc/RTN.html ).…”
Section: Methodsmentioning
confidence: 99%