Neuronal overexpression of 'readthrough' acetylcholinesterase is associated with antisense-suppressible behavioral impairments.

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Title: Neuronal overexpression of 'readthrough' acetylcholinesterase is associated with antisense-suppressible behavioral impairments.
Authors: Cohen, O., Erb, C., Ginzberg, D., Pollak, Y., Seidman, S., Shoham, S., Yirmiya, R., Soreq, H.
Source: Molecular Psychiatry. 2002, Vol. 7 Issue 8, p874. 12p.
Subjects: Acetylcholinesterase, Antisense RNA, Circadian rhythms
Abstract: Bipolar affective disorder is one of the most common mental illnesses with a population prevalence of approximately 1%. The disorder is genetically complex, with an increasing number of loci being implicated through genetic linkage studies. However, the specific genetic variations and molecules involved in bipolar susceptibility and pathogenesis are yet to be identified. Genetic linkage analysis has identified a bipolar disorder susceptibility locus on chromosome 4q35, and the interval harbouring this susceptibility gene has been narrowed to a size that is amenable to positional cloning. We have used the resources of the Human Genome Project (HGP) and Celera Genomics to identify overlapping sequenced BAC clones and sequence contigs that represent the region implicated by linkage analysis. A combination of bioinformatic tools and laboratory techniques have been applied to annotate this DNA sequence data and establish a comprehensive transcript map that spans approximately 5.5 Mb. This map encompasses the chromosome 4q35 bipolar susceptibility locus, which localises to a 'most probable' candidate interval of approximately 2.3 Mb, within a more conservative candidate interval of approximately 5 Mb. Localised within this map are 11 characterised genes and eight novel genes of unknown function, which together provide a collection of candidate transcripts that may be investigated for association with bipolar disorder. Overall, this region was shown to be very gene-poor, with a high incidence of pseudogenes, and redundant and novel repetitive elements. Our analysis of the interval has demonstrated a significant difference in the extent to which the current HGP and Celera sequence data sets represent this region. [ABSTRACT FROM AUTHOR]
Copyright of Molecular Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Neuronal overexpression of 'readthrough' acetylcholinesterase is associated with antisense-suppressible behavioral impairments.
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  Data: <searchLink fieldCode="AR" term="%22Cohen%2C+O%2E%22">Cohen, O.</searchLink><br /><searchLink fieldCode="AR" term="%22Erb%2C+C%2E%22">Erb, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Ginzberg%2C+D%2E%22">Ginzberg, D.</searchLink><br /><searchLink fieldCode="AR" term="%22Pollak%2C+Y%2E%22">Pollak, Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Seidman%2C+S%2E%22">Seidman, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Shoham%2C+S%2E%22">Shoham, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Yirmiya%2C+R%2E%22">Yirmiya, R.</searchLink><br /><searchLink fieldCode="AR" term="%22Soreq%2C+H%2E%22">Soreq, H.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Molecular+Psychiatry%22">Molecular Psychiatry</searchLink>. 2002, Vol. 7 Issue 8, p874. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Acetylcholinesterase%22">Acetylcholinesterase</searchLink><br /><searchLink fieldCode="DE" term="%22Antisense+RNA%22">Antisense RNA</searchLink><br /><searchLink fieldCode="DE" term="%22Circadian+rhythms%22">Circadian rhythms</searchLink>
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  Label: Abstract
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  Data: Bipolar affective disorder is one of the most common mental illnesses with a population prevalence of approximately 1%. The disorder is genetically complex, with an increasing number of loci being implicated through genetic linkage studies. However, the specific genetic variations and molecules involved in bipolar susceptibility and pathogenesis are yet to be identified. Genetic linkage analysis has identified a bipolar disorder susceptibility locus on chromosome 4q35, and the interval harbouring this susceptibility gene has been narrowed to a size that is amenable to positional cloning. We have used the resources of the Human Genome Project (HGP) and Celera Genomics to identify overlapping sequenced BAC clones and sequence contigs that represent the region implicated by linkage analysis. A combination of bioinformatic tools and laboratory techniques have been applied to annotate this DNA sequence data and establish a comprehensive transcript map that spans approximately 5.5 Mb. This map encompasses the chromosome 4q35 bipolar susceptibility locus, which localises to a 'most probable' candidate interval of approximately 2.3 Mb, within a more conservative candidate interval of approximately 5 Mb. Localised within this map are 11 characterised genes and eight novel genes of unknown function, which together provide a collection of candidate transcripts that may be investigated for association with bipolar disorder. Overall, this region was shown to be very gene-poor, with a high incidence of pseudogenes, and redundant and novel repetitive elements. Our analysis of the interval has demonstrated a significant difference in the extent to which the current HGP and Celera sequence data sets represent this region. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Molecular Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1038/sj.mp.4001103
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