Identification and characterization of the murine FK506 binding protein (FKBP) 12.6 gene

Bennett, Jane A.; Clancy, Yevette C.; McNeish, John D.

doi:10.1007/s003359900928

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…RyR2 is highly distributed throughout the brain, including amygdala [2]. Calstabin2 is also abundantly expressed in the brain [12], and is detected in the amygdala in our present experiment. So far, whether calsta-bin2 could regulate fear memory in the lateral amygdala (LA) was not yet known, and we attempted to address this issue in the present study.…”

Section: Introductionsupporting

confidence: 66%

Role of lateral amygdala calstabin2 in regulation of fear memory

et al. 2020

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Calstabin2, also named FK506 binding protein 12.6 (FKBP12.6), is a subunit of ryanodine receptor subtype 2 (RyR2) macromolecular complex, an intracellular calcium channel. Studies from our and other's lab have shown that hippocampal calstabin2 regulates spatial memory. Calstabin2 and RyR2 are widely distributed in the brain, including the amygdala, a key brain area involved in the regulation of emotion including fear. Little is known about the role of calstabin2 in fear memory. Here, we found that genetic deletion of calstabin2 impaired long-term memory in cued fear conditioning test. Knockdown calstabin2 in the lateral amygdala (LA) by viral vector also impaired longterm cued fear memory expression. Furthermore, calstabin2 knockout reduced long-term potentiation (LTP) at both cortical and thalamic inputs to the LA. In conclusion, our present data indicate that calstabin2 in the LA plays a crucial role in the regulating of emotional memory.

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Section: Introductionsupporting

confidence: 66%

Role of lateral amygdala calstabin2 in regulation of fear memory

et al. 2020

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“…rhodopsin, FKBP12.6 (Bennett et al, 1998), clock and vacuolar ATP synthase subunit d (Carrion-Vazquez et al, 1998) (Table 8). …”

Section: Brainmentioning

confidence: 99%

Global gene expression profiling and cluster analysis in Xenopus laevis

Baldessari

Shin

Krebs

et al. 2005

Mechanisms of Development

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We have undertaken a large-scale microarray gene expression analysis using cDNAs corresponding to 21,000 Xenopus laevis ESTs. mRNAs from 37 samples, including embryos and adult organs, were profiled. Cluster analysis of embryos of different stages was carried out and revealed expected affinities between gastrulae and neurulae, as well as between advanced neurulae and tadpoles, while egg and feeding larvae were clearly separated. Cluster analysis of adult organs showed some unexpected tissue-relatedness, e.g. kidney is more related to endodermal than to mesodermal tissues and the brain is separated from other neuroectodermal derivatives. Cluster analysis of genes revealed major phases of co-ordinate gene expression between egg and adult stages. During the maternal-early embryonic phase, genes maintaining a rapidly dividing cell state are predominantly expressed (cell cycle regulators, chromatin proteins). Genes involved in protein biosynthesis are progressively induced from mid-embryogenesis onwards. The larval-adult phase is characterised by expression of genes involved in metabolism and terminal differentiation. Thirteen potential synexpression groups were identified, which encompass components of diverse molecular processes or supra-molecular structures, including chromatin, RNA processing and nucleolar function, cell cycle, respiratory chain/Krebs cycle, protein biosynthesis, endoplasmic reticulum, vesicle transport, synaptic vesicle, microtubule, intermediate filament, epithelial proteins and collagen. Data filtering identified genes with potential stage-, region- and organ-specific expression. The dataset was assembled in the iChip microarray database, , which allows user-defined queries. The study provides insights into the higher order of vertebrate gene expression, identifies synexpression groups and marker genes, and makes predictions for the biological role of numerous uncharacterized genes.

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“…Zinc-finger gene ZNF699 (chromosome 19p13.2) is related to Drosophila gene “hang”, which is associated with increased alcohol tolerance (Scholz et al, 2005) and to QTLs involved in alcohol sedation in mice (e.g., Bennett and Johnson, 1998; Ehringer et al, 2002; Markel et al, 1997; Riley et al, 2006). In humans, several gene variants (e.g., rs7254880) might relate to alcohol dependence (Riley et al, 2006).…”

Section: The Search For Gene Variants Related To Alcohol Sensitivity mentioning

confidence: 99%

A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity

Schuckit

2018

Alcoholism Clin & Exp Res

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Attributes of alcohol sensitivity are present before alcohol use disorders (AUDs) develop, they predict those adverse alcohol outcomes, are familial in nature, and many are heritable. Whether measured by alcohol challenges or retrospective reports of numbers of drinks required for effects, alcohol sensitivity reflects multiple phenotypes, including low levels of alcohol response and alcohol-related stimulation. Identification of genes that contribute to alcohol sensitivity could help identify individuals carrying risks for AUDs through their alcohol responses for whom early intervention might mitigate their vulnerability. Such genes could also improve understanding of biological underpinnings of AUDs, which could lead to new treatment approaches. However, the existing literature points to a wide range of genetic mechanisms that might contribute to alcohol responses, and few such genetic findings have been widely replicated. This critical review describes the potential impact of the diverse methods used to study sensitivity on the diversity of genetic findings that have been reported, places the genetic variants mentioned in the literature into broader categories rather than isolated results, and offers suggestions regarding how to advance the field by interpreting findings in light of the methods used to select research subjects and to measure alcohol sensitivity. To date, the most promising results have been for GABA, glutamate, opioid, dopamine, serotonin, and cholinergic system genes. The more gene variants that can be identified as contributors to sensitivity the better future gene screening platforms or polygenic scores are likely to be.

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Identification and characterization of the murine FK506 binding protein (FKBP) 12.6 gene

Cited by 9 publications

References 10 publications

Role of lateral amygdala calstabin2 in regulation of fear memory

Role of lateral amygdala calstabin2 in regulation of fear memory

Global gene expression profiling and cluster analysis in Xenopus laevis

A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity

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