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      Genome-Wide DNA Methylation Analysis of a Cohort of 41 Patients Affected by Oculo-Auriculo-Vertebral Spectrum (OAVS)

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      1 , * , 2 , 3 , 1 , 4 , 5 , 1 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 3 , 18 , 5 , 3 , 19 , 1 , 2 , 19 , *
      International Journal of Molecular Sciences
      MDPI
      oculo-auriculo-vertebral spectrum, OAVS, DNA-methylation, genome-wide, infinium human methylation 450K beadchip, retinoic acid

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          Abstract

          Oculo-auriculo-vertebral-spectrum (OAVS; OMIM 164210) is a rare disorder originating from abnormal development of the first and second branchial arch. The clinical phenotype is extremely heterogeneous with ear anomalies, hemifacial microsomia, ocular defects, and vertebral malformations being the main features. MYT1, AMIGO2, and ZYG11B gene variants were reported in a few OAVS patients, but the etiology remains largely unknown. A multifactorial origin has been proposed, including the involvement of environmental and epigenetic mechanisms. To identify the epigenetic mechanisms contributing to OAVS, we evaluated the DNA-methylation profiles of 41 OAVS unrelated affected individuals by using a genome-wide microarray-based methylation approach. The analysis was first carried out comparing OAVS patients with controls at the group level. It revealed a moderate epigenetic variation in a large number of genes implicated in basic chromatin dynamics such as DNA packaging and protein-DNA organization. The alternative analysis in individual profiles based on the searching for Stochastic Epigenetic Variants (SEV) identified an increased number of SEVs in OAVS patients compared to controls. Although no recurrent deregulated enriched regions were found, isolated patients harboring suggestive epigenetic deregulations were identified. The recognition of a different DNA methylation pattern in the OAVS cohort and the identification of isolated patients with suggestive epigenetic variations provide consistent evidence for the contribution of epigenetic mechanisms to the etiology of this complex and heterogeneous disorder.

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          Most cited references79

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          DNA methylation age of human tissues and cell types

          Background It is not yet known whether DNA methylation levels can be used to accurately predict age across a broad spectrum of human tissues and cell types, nor whether the resulting age prediction is a biologically meaningful measure. Results I developed a multi-tissue predictor of age that allows one to estimate the DNA methylation age of most tissues and cell types. The predictor, which is freely available, was developed using 8,000 samples from 82 Illumina DNA methylation array datasets, encompassing 51 healthy tissues and cell types. I found that DNA methylation age has the following properties: first, it is close to zero for embryonic and induced pluripotent stem cells; second, it correlates with cell passage number; third, it gives rise to a highly heritable measure of age acceleration; and, fourth, it is applicable to chimpanzee tissues. Analysis of 6,000 cancer samples from 32 datasets showed that all of the considered 20 cancer types exhibit significant age acceleration, with an average of 36 years. Low age-acceleration of cancer tissue is associated with a high number of somatic mutations and TP53 mutations, while mutations in steroid receptors greatly accelerate DNA methylation age in breast cancer. Finally, I characterize the 353 CpG sites that together form an aging clock in terms of chromatin states and tissue variance. Conclusions I propose that DNA methylation age measures the cumulative effect of an epigenetic maintenance system. This novel epigenetic clock can be used to address a host of questions in developmental biology, cancer and aging research.
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            REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms

            Outcomes of high-throughput biological experiments are typically interpreted by statistical testing for enriched gene functional categories defined by the Gene Ontology (GO). The resulting lists of GO terms may be large and highly redundant, and thus difficult to interpret. REVIGO is a Web server that summarizes long, unintelligible lists of GO terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures. Furthermore, REVIGO visualizes this non-redundant GO term set in multiple ways to assist in interpretation: multidimensional scaling and graph-based visualizations accurately render the subdivisions and the semantic relationships in the data, while treemaps and tag clouds are also offered as alternative views. REVIGO is freely available at http://revigo.irb.hr/.
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              DNA methylation and its basic function.

              In the mammalian genome, DNA methylation is an epigenetic mechanism involving the transfer of a methyl group onto the C5 position of the cytosine to form 5-methylcytosine. DNA methylation regulates gene expression by recruiting proteins involved in gene repression or by inhibiting the binding of transcription factor(s) to DNA. During development, the pattern of DNA methylation in the genome changes as a result of a dynamic process involving both de novo DNA methylation and demethylation. As a consequence, differentiated cells develop a stable and unique DNA methylation pattern that regulates tissue-specific gene transcription. In this chapter, we will review the process of DNA methylation and demethylation in the nervous system. We will describe the DNA (de)methylation machinery and its association with other epigenetic mechanisms such as histone modifications and noncoding RNAs. Intriguingly, postmitotic neurons still express DNA methyltransferases and components involved in DNA demethylation. Moreover, neuronal activity can modulate their pattern of DNA methylation in response to physiological and environmental stimuli. The precise regulation of DNA methylation is essential for normal cognitive function. Indeed, when DNA methylation is altered as a result of developmental mutations or environmental risk factors, such as drug exposure and neural injury, mental impairment is a common side effect. The investigation into DNA methylation continues to show a rich and complex picture about epigenetic gene regulation in the central nervous system and provides possible therapeutic targets for the treatment of neuropsychiatric disorders.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                26 January 2021
                February 2021
                : 22
                : 3
                : 1190
                Affiliations
                [1 ]Medical Genetics Division, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; f.piceci@ 123456css-mendel.it (F.P.-S.); l.bernardini@ 123456css-mendel.it (L.B.); a.deluca@ 123456css-mendel.it (A.D.L.)
                [2 ]Istituto Auxologico Italiano IRCCS, Bioinformatics and Statistical Genomics Unit, Cusano Milanino, 20095 Milano, Italy; bisgu.auxologico@ 123456gmail.com
                [3 ]Department of Maxillofacial Surgery, Sapienza University of Rome, 00161 Rome, Italy; mariateresa.fadda@ 123456uniroma1.it (M.T.F.); mariop77@ 123456gmail.com (M.P.); giorgio.iannetti@ 123456uniroma1.it (G.I.)
                [4 ]Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
                [5 ]Genetics and Rare Diseases Research Division, Ospedale Pediatrico Bambino Gesù, IRCCS, 00165 Rome, Italy; mcristina.digilio@ 123456opbg.net (M.C.D.); bruno.dallapiccola@ 123456opbg.net (B.D.)
                [6 ]Department of Life, Health and Environmental Sciences, Unit of Medical Genetics University of L’Aquila, 67100 L’Aquila, Italy; francesco.brancati@ 123456univaq.it
                [7 ]IRCCS San Raffaele Pisana, 00163 Rome, Italy
                [8 ]Medical Genetics, Department of Biomedical and Biotechnological Sciences, University of Catania, 95131 Catania, Italy; mattina@ 123456unict.it
                [9 ]Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Salerno, Italy; dmelis@ 123456unisa.it
                [10 ]Clinical Genetics Department, Guy’s & St Thomas’ NHS Foundation Trust, London SE1 7EH, UK; Francesca.Forzano@ 123456gstt.nhs.uk
                [11 ]Medical Genetics, University of Messina, 98125 Messina, Italy; sbriuglia@ 123456unime.it
                [12 ]Unit of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; t.mazza@ 123456css-mendel.it
                [13 ]Centro di Consulenza Genetica e Teratologia della Riproduzione, Dipartimento Materno Infantile, ARNAS Garibaldi Nesima, 95123 Catania, Italy; sebastiano.bianca@ 123456tiscali.it
                [14 ]Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy; enzamaria.valente@ 123456unipv.it
                [15 ]IRCCS Mondino Foundation, 27100 Pavia, Italy
                [16 ]Tor Vergata University Hospital, Medical Genetics Unit, PTV, 00133 Rome, Italy; l.b.salehi@ 123456mclink.it
                [17 ]Medical Genetics Unit, University of Perugia Hospital SM della Misericordia, 06129 Perugia, Italy; paolo.prontera@ 123456ospedale.perugia.it
                [18 ]Department of Pediatrics, Clinical Genetics, Università di Padova, 35122 Padova, Italy; romano.tenconi@ 123456unipd.it
                [19 ]Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; luigi.corsaro01@ 123456universitadipavia.it
                Author notes
                [†]

                These authors contributed equally to this work.

                [‡]

                These authors share co-senior authorship.

                Author information
                https://orcid.org/0000-0003-4283-0988
                https://orcid.org/0000-0002-3554-2817
                https://orcid.org/0000-0003-3624-2354
                https://orcid.org/0000-0001-6143-6682
                https://orcid.org/0000-0002-9458-3926
                https://orcid.org/0000-0002-5213-441X
                https://orcid.org/0000-0003-0434-8533
                https://orcid.org/0000-0002-0600-6820
                https://orcid.org/0000-0003-1218-230X
                https://orcid.org/0000-0002-4408-8062
                Article
                ijms-22-01190
                10.3390/ijms22031190
                7866060
                33530447
                3f9386d9-850a-4e27-a99b-5ed82d25cb3a
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 27 December 2020
                : 21 January 2021
                Categories
                Article

                Molecular biology
                oculo-auriculo-vertebral spectrum,oavs,dna-methylation,genome-wide,infinium human methylation 450k beadchip,retinoic acid

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