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	<id>https://transhumanist.ru/index.php?action=history&amp;feed=atom&amp;title=CNGA3</id>
	<title>CNGA3 - История изменений</title>
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	<updated>2026-05-11T12:27:19Z</updated>
	<subtitle>История изменений этой страницы в вики</subtitle>
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		<id>https://transhumanist.ru/index.php?title=CNGA3&amp;diff=6227&amp;oldid=prev</id>
		<title>OdysseusBot: Новая страница: «Cyclic nucleotide-gated cation channel alpha-3 (Cone photoreceptor cGMP-gated channel subunit alpha) (Cyclic nucleotide-gated channel alpha-3) (CNG channel alpha-...»</title>
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		<updated>2021-05-12T15:18:06Z</updated>

		<summary type="html">&lt;p&gt;Новая страница: «Cyclic nucleotide-gated cation channel alpha-3 (Cone photoreceptor cGMP-gated channel subunit alpha) (Cyclic nucleotide-gated channel alpha-3) (CNG channel alpha-...»&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Новая страница&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Cyclic nucleotide-gated cation channel alpha-3 (Cone photoreceptor cGMP-gated channel subunit alpha) (Cyclic nucleotide-gated channel alpha-3) (CNG channel alpha-3) (CNG-3) (CNG3) [CNCG3]&lt;br /&gt;
&lt;br /&gt;
==Publications==&lt;br /&gt;
&lt;br /&gt;
{{medline-entry&lt;br /&gt;
|title=DNA methylation-based age prediction from saliva: High age predictability by combination of 7 CpG markers.&lt;br /&gt;
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/28419903&lt;br /&gt;
|abstract=DNA methylation is currently one of the most promising age-predictive biomarkers. Many studies have reported DNA methylation-based age predictive models, but most of these are based on DNA methylation patterns from blood. Only a few studies have examined age-predictive DNA patterns in saliva, which is one of the most frequently-encountered body fluids at crime scenes. In this study, we generated genome-wide DNA methylation profiles of saliva from 54 individuals and identified CpG markers that showed a high correlation between methylation and age. Because the age-associated marker candidates from saliva differed from those of blood, we investigated DNA methylation patterns of 6 age-associated CpG marker candidates (cg00481951, cg19671120, cg14361627, cg08928145, cg12757011, and cg07547549 of the [[SST]], [[CNGA3]], [[KLF14]], [[TSSK6]], [[TBR1]], and [[SLC12A5]] genes, respectively) in addition to a cell type-specific CpG marker (cg18384097 of the [[PTPN7]] gene) in an independent set of saliva samples obtained from 226 individuals aged 18 to 65 years. Multiplex methylation SNaPshot reactions were used to generate the data. We then generated a linear regression model with age information and the methylation profile from the 113 training samples. The model exhibited a 94.5% correlation between predicted and chronological age with a mean absolute deviation (MAD) from chronological age of 3.13 years. In subsequent validation using 113 test samples, we also observed a high correlation between predicted and chronological age (Spearman&amp;#039;s rho=0.952, MAD from chronological age=3.15years). The model composed of 7 selected CpG sites enabled age prediction in saliva with high accuracy, which will be useful in saliva analysis for investigative leads.&lt;br /&gt;
|mesh-terms=* Adolescent&lt;br /&gt;
* Adult&lt;br /&gt;
* Aged&lt;br /&gt;
* Aging&lt;br /&gt;
* CpG Islands&lt;br /&gt;
* DNA Methylation&lt;br /&gt;
* Forensic Genetics&lt;br /&gt;
* Genetic Markers&lt;br /&gt;
* Humans&lt;br /&gt;
* Linear Models&lt;br /&gt;
* Middle Aged&lt;br /&gt;
* Nucleic Acid Hybridization&lt;br /&gt;
* Saliva&lt;br /&gt;
* Young Adult&lt;br /&gt;
|keywords=* Age&lt;br /&gt;
* DNA methylation&lt;br /&gt;
* HumanMethylation450 BeadChip&lt;br /&gt;
* SNaPshot&lt;br /&gt;
* Saliva&lt;br /&gt;
|full-text-url=https://sci-hub.do/10.1016/j.fsigen.2017.04.006&lt;br /&gt;
}}&lt;br /&gt;
{{medline-entry&lt;br /&gt;
|title=Long-term and age-dependent restoration of visual function in a mouse model of [[CNGB3]]-associated achromatopsia following gene therapy.&lt;br /&gt;
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/21576125&lt;br /&gt;
|abstract=Mutations in the [[CNGB3]] gene account for &amp;gt;50% of all known cases of achromatopsia. Although of early onset, its stationary character and the potential for rapid assessment of restoration of retinal function following therapy renders achromatopsia a very attractive candidate for gene therapy. Here we tested the efficacy of an rAAV2/8 vector containing a human cone arrestin promoter and a human [[CNGB3]] cDNA in [[CNGB3]] deficient mice. Following subretinal delivery of the vector, [[CNGB3]] was detected in both M- and S-cones and resulted in increased levels of [[CNGA3]], increased cone density and survival, improved cone outer segment structure and normal subcellular compartmentalization of cone opsins. Therapy also resulted in long-term improvement of retinal function, with restoration of cone [[ERG]] amplitudes of up to 90% of wild-type and a significant improvement in visual acuity. Remarkably, successful restoration of cone function was observed even when treatment was initiated at 6 months of age; however, restoration of normal visual acuity was only possible in younger animals (e.g. 2-4 weeks old). This study represents achievement of the most substantial restoration of visual function reported to date in an animal model of achromatopsia using a human gene construct, which has the potential to be utilized in clinical trials.&lt;br /&gt;
|mesh-terms=* Aging&lt;br /&gt;
* Animals&lt;br /&gt;
* Arrestins&lt;br /&gt;
* Cell Survival&lt;br /&gt;
* Color Vision Defects&lt;br /&gt;
* Cyclic Nucleotide-Gated Cation Channels&lt;br /&gt;
* Disease Models, Animal&lt;br /&gt;
* Gene Transfer Techniques&lt;br /&gt;
* Genetic Therapy&lt;br /&gt;
* Genetic Vectors&lt;br /&gt;
* Humans&lt;br /&gt;
* Injections&lt;br /&gt;
* Mice&lt;br /&gt;
* Mice, Transgenic&lt;br /&gt;
* Opsins&lt;br /&gt;
* Organ Specificity&lt;br /&gt;
* Promoter Regions, Genetic&lt;br /&gt;
* Protein Transport&lt;br /&gt;
* Retina&lt;br /&gt;
* Retinal Cone Photoreceptor Cells&lt;br /&gt;
* Time Factors&lt;br /&gt;
* Vision, Ocular&lt;br /&gt;
* Visual Acuity&lt;br /&gt;
&lt;br /&gt;
|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140821&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>OdysseusBot</name></author>
	</entry>
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