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Juan AM, Foong YH, Thorvaldsen JL, Lan Y, Leu NA, Rurik JG, Li L, Krapp C, Rosier CL, Epstein JA, Bartolomei MS. Tissue-specific Grb10/Ddc insulator drives allelic architecture for cardiac development. Mol Cell 2022; 82:3613-3631.e7. [PMID: 36108632 PMCID: PMC9547965 DOI: 10.1016/j.molcel.2022.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 07/12/2022] [Accepted: 08/18/2022] [Indexed: 11/24/2022]
Abstract
Allele-specific expression of imprinted gene clusters is governed by gametic DNA methylation at master regulators called imprinting control regions (ICRs). Non-gametic or secondary differentially methylated regions (DMRs) at promoters and exonic regions reinforce monoallelic expression but do not control an entire cluster. Here, we unveil an unconventional secondary DMR that is indispensable for tissue-specific imprinting of two previously unlinked genes, Grb10 and Ddc. Using polymorphic mice, we mapped an intronic secondary DMR at Grb10 with paternal-specific CTCF binding (CBR2.3) that forms contacts with Ddc. Deletion of paternal CBR2.3 removed a critical insulator, resulting in substantial shifting of chromatin looping and ectopic enhancer-promoter contacts. Destabilized gene architecture precipitated abnormal Grb10-Ddc expression with developmental consequences in the heart and muscle. Thus, we redefine the Grb10-Ddc imprinting domain by uncovering an unconventional intronic secondary DMR that functions as an insulator to instruct the tissue-specific, monoallelic expression of multiple genes-a feature previously ICR exclusive.
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Affiliation(s)
- Aimee M Juan
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yee Hoon Foong
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joanne L Thorvaldsen
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yemin Lan
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nicolae A Leu
- Department of Biomedical Sciences, Center for Animal Transgenesis and Germ Cell Research, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104, USA
| | - Joel G Rurik
- Penn Cardiovascular Institute, Department of Medicine, Department Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Li Li
- Penn Cardiovascular Institute, Department of Medicine, Department Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christopher Krapp
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Casey L Rosier
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jonathan A Epstein
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Cardiovascular Institute, Department of Medicine, Department Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Marisa S Bartolomei
- Epigenetics Institute, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Mutual regulation of noncoding RNAs and RNA modifications in psychopathology: Potential therapeutic targets for psychiatric disorders? Pharmacol Ther 2022; 237:108254. [DOI: 10.1016/j.pharmthera.2022.108254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 07/13/2022] [Accepted: 07/18/2022] [Indexed: 11/21/2022]
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Barros II, Leão V, Santis JO, Rosa RCA, Brotto DB, Storti CB, Siena ÁDD, Molfetta GA, Silva WA. Non-Syndromic Intellectual Disability and Its Pathways: A Long Noncoding RNA Perspective. Noncoding RNA 2021; 7:ncrna7010022. [PMID: 33799572 PMCID: PMC8005948 DOI: 10.3390/ncrna7010022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/05/2020] [Accepted: 12/07/2020] [Indexed: 02/06/2023] Open
Abstract
Non-syndromic intellectual disability (NS-ID or idiopathic) is a complex neurodevelopmental disorder that represents a global health issue. Although many efforts have been made to characterize it and distinguish it from syndromic intellectual disability (S-ID), the highly heterogeneous aspect of this disorder makes it difficult to understand its etiology. Long noncoding RNAs (lncRNAs) comprise a large group of transcripts that can act through various mechanisms and be involved in important neurodevelopmental processes. In this sense, comprehending the roles they play in this intricate context is a valuable way of getting new insights about how NS-ID can arise and develop. In this review, we attempt to bring together knowledge available in the literature about lncRNAs involved with molecular and cellular pathways already described in intellectual disability and neural function, to better understand their relevance in NS-ID and the regulatory complexity of this disorder.
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Affiliation(s)
- Isabela I. Barros
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Vitor Leão
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Jessica O. Santis
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Reginaldo C. A. Rosa
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Danielle B. Brotto
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Camila B. Storti
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Ádamo D. D. Siena
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Greice A. Molfetta
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
| | - Wilson A. Silva
- Department of Genetics at the Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo 14049-900, Brazil; (I.I.B.); (V.L.); (J.O.S.); (R.C.A.R.); (D.B.B.); (C.B.S.); (Á.D.D.S.); (G.A.M.)
- National Institute of Science and Technology in Stem Cell and Cell Therapy and Center for Cell Based Therapy, Ribeirão Preto Medical School, University of São Paulo, Rua Tenente Catão Roxo, 2501, Monte Alegre, Ribeirão Preto 14051-140, Brazil
- Center for Integrative Systems Biology-CISBi, NAP/USP, Ribeirão Preto Medical School, University of São Paulo, Rua Catão Roxo, 2501, Monte Alegre, Ribeirão Preto 14051-140, Brazil
- Department of Medicine at the Midwest State University of Paraná-UNICENTRO, and Guarapuava Institute for Cancer Research, Rua Fortim Atalaia, 1900, Cidade dos Lagos, Guarapuava 85100-000, Brazil
- Correspondence: ; Tel.: +55-16-3315-3293
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Mertsch S, Schlicht K, Melkonyan H, Schlatt S, Thanos S. snRPN controls the ability of neurons to regenerate axons. Restor Neurol Neurosci 2018; 36:31-43. [PMID: 29439367 DOI: 10.3233/rnn-170780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Retinal ganglion cells (RGCs) of mammals lose the ability to regenerate injured axons during postnatal maturation, but little is known about the underlying molecular mechanisms. OBJECTIVE It remains of particular importance to understand the mechanisms of axonal regeneration to develop new therapeutic approaches for nerve injuries. METHODS Retinas from newborn to adult monkeys (Callithrix jacchus)1 were obtained immediately after death and cultured in vitro. Growths of axons were monitored using microscopy and time-lapse video cinematography. Immunohistochemistry, Western blotting, qRT-PCR, and genomics were performed to characterize molecules associated with axonal regeneration and growth. A genomic screen was performed by using retinal explants versus native and non-regenerative explants obtained from eye cadavers on the day of birth, and hybridizing the mRNA with cross-reacting cDNA on conventional human microarrays. Followed the genomic screen, siRNA experiments were conducted to identify the functional involvement of identified candidates. RESULTS Neuron-specific human ribonucleoprotein N (snRPN) was found to be a potential regulator of impaired axonal regeneration during neuronal maturation in these animals. In particular, up-regulation of snRPN was observed during retinal maturation, coinciding with a decline in regenerative ability. Axon regeneration was reactivated in snRPN-knockout retinal ex vivo explants of adult monkey. CONCLUSION These results suggest that coordinated snRPN-driven activities within the neuron-specific ribonucleoprotein complex regulate the regenerative ability of RGCs in primates, thereby highlighting a potential new role for snRPN within neurons and the possibility of novel postinjury therapies.
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Affiliation(s)
- Sonja Mertsch
- Institute of Experimental Ophthalmology and DFG-Excellence Center, Cells in Motion (CiM, area C.4), School of Medicine, University of Münster, Münster, Germany.,Department of Ophthalmology, Laboratory of Experimental Ophthalmology, University Clinic Duesseldorf, Duesseldorf, Germany
| | - Katrin Schlicht
- Institute of Experimental Ophthalmology and DFG-Excellence Center, Cells in Motion (CiM, area C.4), School of Medicine, University of Münster, Münster, Germany
| | - Harutyun Melkonyan
- Institute of Experimental Ophthalmology and DFG-Excellence Center, Cells in Motion (CiM, area C.4), School of Medicine, University of Münster, Münster, Germany
| | - Stefan Schlatt
- Institute of Regenerative Medicine (CeRA) and DFG-Excellence Center, Cells in Motion (CiM, area A.2), School of Medicine, University of Münster, Münster, Germany
| | - Solon Thanos
- Institute of Experimental Ophthalmology and DFG-Excellence Center, Cells in Motion (CiM, area C.4), School of Medicine, University of Münster, Münster, Germany
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Khorkova O, Hsiao J, Wahlestedt C. Basic biology and therapeutic implications of lncRNA. Adv Drug Deliv Rev 2015; 87:15-24. [PMID: 26024979 PMCID: PMC4544752 DOI: 10.1016/j.addr.2015.05.012] [Citation(s) in RCA: 246] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 05/11/2015] [Accepted: 05/21/2015] [Indexed: 12/11/2022]
Abstract
Long non-coding RNAs (lncRNA), a class of non-coding RNA molecules recently identified largely due to the efforts of FANTOM, and later GENCODE and ENCODE consortia, have been a subject of intense investigation in the past decade. Extensive efforts to get deeper understanding of lncRNA biology have yielded evidence of their diverse structural and regulatory roles in protecting chromosome integrity, maintaining genomic architecture, X chromosome inactivation, imprinting, transcription, translation and epigenetic regulation. Here we will briefly review the recent studies in the field of lncRNA biology focusing mostly on mammalian species and discuss their therapeutic implications.
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MESH Headings
- Animals
- Chromosomal Instability
- Epigenesis, Genetic
- Evolution, Molecular
- Gene Expression Regulation/drug effects
- Gene Expression Regulation/genetics
- Genetic Diseases, Inborn/diagnosis
- Genetic Diseases, Inborn/genetics
- Genetic Diseases, Inborn/therapy
- Humans
- Neoplasms/diagnosis
- Neoplasms/genetics
- Neoplasms/therapy
- Oligonucleotides, Antisense/administration & dosage
- Oligonucleotides, Antisense/therapeutic use
- RNA Processing, Post-Transcriptional
- RNA, Long Noncoding/blood
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/urine
- Species Specificity
- Telomere/genetics
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Affiliation(s)
- O Khorkova
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - J Hsiao
- OPKO Health Inc., 10320 USA Today Way, Miramar, FL 33025, USA
| | - C Wahlestedt
- Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Avenue, Miami 33136, FL, USA.
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Barua S, Kuizon S, Chadman KK, Brown WT, Junaid MA. Microarray analysis reveals higher gestational folic Acid alters expression of genes in the cerebellum of mice offspring-a pilot study. Brain Sci 2015; 5:14-31. [PMID: 25629700 PMCID: PMC4390789 DOI: 10.3390/brainsci5010014] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Revised: 12/19/2014] [Accepted: 01/15/2015] [Indexed: 11/16/2022] Open
Abstract
Folate is a water-soluble vitamin that is critical for nucleotide synthesis and can modulate methylation of DNA by altering one-carbon metabolism. Previous studies have shown that folate status during pregnancy is associated with various congenital defects including the risk of aberrant neural tube closure. Maternal exposure to a methyl supplemented diet also can alter DNA methylation and gene expression, which may influence the phenotype of offspring. We investigated if higher gestational folic acid (FA) in the diet dysregulates the expression of genes in the cerebellum of offspring in C57BL/6 J mice. One week before gestation and throughout the pregnancy, groups of dams were supplemented with FA either at 2 mg/kg or 20 mg/kg of diet. Microarray analysis was used to investigate the genome wide gene expression profile in the cerebellum from day old pups. Our results revealed that exposure to the higher dose FA diet during gestation dysregulated expression of several genes in the cerebellum of both male and female pups. Several transcription factors, imprinted genes, neuro-developmental genes and genes associated with autism spectrum disorder exhibited altered expression levels. These findings suggest that higher gestational FA potentially dysregulates gene expression in the offspring brain and such changes may adversely alter fetal programming and overall brain development.
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Affiliation(s)
- Subit Barua
- Developmental Biochemistry, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY 10314, USA.
| | - Salomon Kuizon
- Developmental Biochemistry, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY 10314, USA.
| | - Kathryn K Chadman
- Developmental Neurobiology, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY 10314, USA.
| | - W Ted Brown
- Human Genetics, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY 10314, USA.
| | - Mohammed A Junaid
- Developmental Biochemistry, New York State Institute for Basic Research in Developmental Disabilities, 1050 Forest Hill Road, Staten Island, NY 10314, USA.
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Sun H, Yang S, Tun L, Li Y. IAOseq: inferring abundance of overlapping genes using RNA-seq data. BMC Bioinformatics 2015; 16 Suppl 1:S3. [PMID: 25707673 PMCID: PMC4331702 DOI: 10.1186/1471-2105-16-s1-s3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Overlapping transcription constitutes a common mechanism for regulating gene expression. A major limitation of the overlapping transcription assays is the lack of high throughput expression data. RESULTS We developed a new tool (IAOseq) that is based on reads distributions along the transcribed regions to identify the expression levels of overlapping genes from standard RNA-seq data. Compared with five commonly used quantification methods, IAOseq showed better performance in the estimation accuracy of overlapping transcription levels. For the same strand overlapping transcription, currently existing high-throughput methods are rarely available to distinguish which strand was present in the original mRNA template. The IAOseq results showed that the commonly used methods gave an average of 1.6 fold overestimation of the expression levels of same strand overlapping genes. CONCLUSIONS This work provides a useful tool for mining overlapping transcription levels from standard RNA-seq libraries. IAOseq could be used to help us understand the complex regulatory mechanism mediated by overlapping transcripts. IAOseq is freely available at http://lifecenter.sgst.cn/main/en/IAO_seq.jsp.
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