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      DNA Methylomes Reveal Biological Networks Involved in Human Eye Development, Functions and Associated Disorders

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          Abstract

          This work provides a comprehensive CpG methylation landscape of the different layers of the human eye that unveils the gene networks associated with their biological functions and how these are disrupted in common visual disorders. Herein, we firstly determined the role of CpG methylation in the regulation of ocular tissue-specification and described hypermethylation of retinal transcription factors (i.e., PAX6, RAX, SIX6) in a tissue-dependent manner. Second, we have characterized the DNA methylome of visual disorders linked to internal and external environmental factors. Main conclusions allow certifying that crucial pathways related to Wnt-MAPK signaling pathways or neuroinflammation are epigenetically controlled in the fibrotic disorders involved in retinal detachment, but results also reinforced the contribution of neurovascularization (ETS1, HES5, PRDM16) in diabetic retinopathy. Finally, we had studied the methylome in the most frequent intraocular tumors in adults and children (uveal melanoma and retinoblastoma, respectively). We observed that hypermethylation of tumor suppressor genes is a frequent event in ocular tumors, but also unmethylation is associated with tumorogenesis. Interestingly, unmethylation of the proto-oncogen RAB31 was a predictor of metastasis risk in uveal melanoma. Loss of methylation of the oncogenic mir-17-92 cluster was detected in primary tissues but also in blood from patients.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Pax6 is required for the multipotent state of retinal progenitor cells.

            The molecular mechanisms mediating the retinogenic potential of multipotent retinal progenitor cells (RPCs) are poorly defined. Prior to initiating retinogenesis, RPCs express a limited set of transcription factors implicated in the evolutionary ancient genetic network that initiates eye development. We elucidated the function of one of these factors, Pax6, in the RPCs of the intact developing eye by conditional gene targeting. Upon Pax6 inactivation, the potential of RPCs becomes entirely restricted to only one of the cell fates normally available to RPCs, resulting in the exclusive generation of amacrine interneurons. Our findings demonstrate furthermore that Pax6 directly controls the transcriptional activation of retinogenic bHLH factors that bias subsets of RPCs toward the different retinal cell fates, thereby mediating the full retinogenic potential of RPCs.
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              Age-associated DNA methylation in pediatric populations.

              DNA methylation (DNAm) plays diverse roles in human biology, but this dynamic epigenetic mark remains far from fully characterized. Although earlier studies uncovered loci that undergo age-associated DNAm changes in adults, little is known about such changes during childhood. Despite profound DNAm plasticity during embryogenesis, monozygotic twins show indistinguishable childhood methylation, suggesting that DNAm is highly coordinated throughout early development. Here we examine the methylation of 27,578 CpG dinucleotides in peripheral blood DNA from a cross-sectional study of 398 boys, aged 3-17 yr, and find significant age-associated changes in DNAm at 2078 loci. These findings correspond well with pyrosequencing data and replicate in a second pediatric population (N = 78). Moreover, we report a deficit of age-related loci on the X chromosome, a preference for specific nucleotides immediately surrounding the interrogated CpG dinucleotide, and a primary association with developmental and immune ontological functions. Meta-analysis (N = 1158) with two adult populations reveals that despite a significant overlap of age-associated loci, most methylation changes do not follow a lifelong linear pattern due to a threefold to fourfold higher rate of change in children compared with adults; consequently, the vast majority of changes are more accurately modeled as a function of logarithmic age. We therefore conclude that age-related DNAm changes in peripheral blood occur more rapidly during childhood and are imperfectly accounted for by statistical corrections that are linear in age, further suggesting that future DNAm studies should be matched closely for age.
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                Author and article information

                Contributors
                mberdasco@idibell.cat
                mesteller@idibell.cat
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 September 2017
                18 September 2017
                2017
                : 7
                : 11762
                Affiliations
                [1 ]ISNI 0000 0004 0427 2257, GRID grid.418284.3, Cancer Epigenetics Group; Cancer Epigenetics and Biology Program (PEBC), , Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, ; Catalonia, Spain
                [2 ]Department of Ophthalmology, Bellvitge University Hospital, L’Hospitalet de Llobregat, Catalonia, Spain
                [3 ]Hospital Sant Joan de Deu, Esplugues de Llobregat, Barcelona, Catalonia Spain
                [4 ]ISNI 0000 0001 2173 938X, GRID grid.5338.d, Unidad de Epidemiología Molecular y Genética del Departamento de Medicina Preventiva y Salud Pública de la Facultad de Medicina y Odontología y Centro de Investigación en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), , Universidad de Valencia, ; Valencia, Spain
                [5 ]ISNI 0000 0000 9314 1427, GRID grid.413448.e, Unidad de Tumores Sólidos Infantiles, Instituto de Investigación de Enfermedades Raras, , Instituto de Salud Carlos III, Majadahonda, ; Madrid, Spain
                [6 ]GRID grid.7080.f, Diabetes and Metabolism Research Unit, , Vall d’Hebron Research Institute, Universitat Autònoma de Barcelona, ; Catalonia, Spain
                [7 ]ISNI 0000 0001 2242 4849, GRID grid.177174.3, Department of Ophthalmology, , Kyushu University Graduate School of Medical Sciences, ; Fukuoka, Japan
                [8 ]Faculty of Life and Natural Science, Department of Applied Molecular Genetics, Laboratory of Medical Genetics, University of Science and Technology of Oran, Mohamed Boudiaf, Oran, Algeria
                [9 ]Cancer Systems Biology Group; Program Against Cancer Therapeutic Resistance (ProCURE); Catalan Institute of Oncology (ICO), Bellvitge Biomedical Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain
                [10 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Shiley Eye Institute and Institute for Genomic Medicine, , University of California, ; San Diego, La Jolla United States
                [11 ]ISNI 0000 0004 1763 0287, GRID grid.430994.3, Biomedical Research in Cancer Stem Cells Group, , Vall d’Hebron Research Institute (VHIR), ; Barcelona, Catalonia Spain
                [12 ]ISNI 0000 0000 9314 1427, GRID grid.413448.e, Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), , Instituto de Salud Carlos III (ISCIII), ; Madrid, Spain
                [13 ]ISNI 0000 0004 1937 0247, GRID grid.5841.8, Department of Physiological Sciences II, , School of Medicine, University of Barcelona, ; Barcelona, Catalonia Spain
                [14 ]ISNI 0000 0000 9601 989X, GRID grid.425902.8, Institució Catalana de Recerca i Estudis Avançats (ICREA), ; Barcelona, Catalonia Spain
                Author information
                http://orcid.org/0000-0002-7072-9855
                http://orcid.org/0000-0003-2152-8579
                http://orcid.org/0000-0003-1179-1592
                http://orcid.org/0000-0002-3877-4170
                http://orcid.org/0000-0002-2366-4104
                http://orcid.org/0000-0003-2152-8579
                http://orcid.org/0000-0002-6287-8391
                Article
                12084
                10.1038/s41598-017-12084-1
                5603607
                28924151
                2542bbc9-c94e-474d-97f7-6e7694397895
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 March 2017
                : 4 September 2017
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