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      Circular RNAs in the human brain are tailored to neuron identity and neuropsychiatric disease

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          Abstract

          Little is known about circular RNAs (circRNAs) in specific brain cells and human neuropsychiatric disease. Here, we systematically identify over 11,039 circRNAs expressed in vulnerable dopamine and pyramidal neurons laser-captured from 190 human brains and non-neuronal cells using ultra-deep, total RNA sequencing. 1526 and 3308 circRNAs are custom-tailored to the cell identity of dopamine and pyramidal neurons and enriched in synapse pathways. 29% of Parkinson’s and 12% of Alzheimer’s disease-associated genes produced validated circRNAs. circDNAJC6, which is transcribed from a juvenile-onset Parkinson’s gene, is already dysregulated during prodromal, onset stages of common Parkinson’s disease neuropathology. Globally, addiction-associated genes preferentially produce circRNAs in dopamine neurons, autism-associated genes in pyramidal neurons, and cancers in non-neuronal cells. This study shows that circular RNAs in the human brain are tailored to neuron identity and implicate circRNA-regulated synaptic specialization in neuropsychiatric diseases.

          Abstract

          Dopamine neurons control movements while pyramidal neurons regulate memory and language. Here the authors show that circular RNAs production in these neurons appears tailored to neuron identity and genetically linked to neuropsychiatric disease such as Parkinson’s and Alzheimer’s disease.

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          Most cited references80

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            clusterProfiler: an R package for comparing biological themes among gene clusters.

            Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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              Circular RNAs are a large class of animal RNAs with regulatory potency.

              Circular RNAs (circRNAs) in animals are an enigmatic class of RNA with unknown function. To explore circRNAs systematically, we sequenced and computationally analysed human, mouse and nematode RNA. We detected thousands of well-expressed, stable circRNAs, often showing tissue/developmental-stage-specific expression. Sequence analysis indicated important regulatory functions for circRNAs. We found that a human circRNA, antisense to the cerebellar degeneration-related protein 1 transcript (CDR1as), is densely bound by microRNA (miRNA) effector complexes and harbours 63 conserved binding sites for the ancient miRNA miR-7. Further analyses indicated that CDR1as functions to bind miR-7 in neuronal tissues. Human CDR1as expression in zebrafish impaired midbrain development, similar to knocking down miR-7, suggesting that CDR1as is a miRNA antagonist with a miRNA-binding capacity ten times higher than any other known transcript. Together, our data provide evidence that circRNAs form a large class of post-transcriptional regulators. Numerous circRNAs form by head-to-tail splicing of exons, suggesting previously unrecognized regulatory potential of coding sequences.
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                Author and article information

                Contributors
                cscherzer@rics.bwh.harvard.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                18 September 2023
                18 September 2023
                2023
                : 14
                : 5327
                Affiliations
                [1 ]GRID grid.38142.3c, ISNI 000000041936754X, APDA Center for Advanced Parkinson Disease Research, , Harvard Medical School, Brigham & Women’s Hospital, ; Boston, MA USA
                [2 ]GRID grid.38142.3c, ISNI 000000041936754X, Precision Neurology Program, , Harvard Medical School and Brigham & Women’s Hospital, ; Boston, MA USA
                [3 ]GRID grid.38142.3c, ISNI 000000041936754X, Genomics and Bioinformatics Hub, , Harvard Medical School and Brigham & Women’s Hospital, ; Boston, MA USA
                [4 ]GRID grid.513948.2, ISNI 0000 0005 0380 6410, Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, ; Chevy Chase, MD 20815 USA
                [5 ]GRID grid.263826.b, ISNI 0000 0004 1761 0489, State Key Lab of Digital Medical Engineering, School of Biological Science and Medical Engineering, , Southeast University, ; Nanjing, China
                [6 ]GRID grid.417400.6, ISNI 0000 0004 1799 0055, Department of Neurology, , Zhejiang Hospital, ; Zhejiang, China
                [7 ]GRID grid.440588.5, ISNI 0000 0001 0307 1240, School of Computer Science, , Northwestern Polytechnical University, ; Xi’an, Shaanxi China
                [8 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Psychiatry, , Brigham and Women’s Hospital, Harvard Medical School, ; Boston, MA USA
                [9 ]GRID grid.414208.b, ISNI 0000 0004 0619 8759, Banner Sun Health Research Institute, ; Sun City, AZ USA
                [10 ]GRID grid.38142.3c, ISNI 000000041936754X, Departement of Pathology, , Brigham & Women’s Hospital, Harvard Medical School, ; Boston, MA USA
                [11 ]GRID grid.38142.3c, ISNI 000000041936754X, Program in Neuroscience, Harvard Medical School, ; Boston, MA USA
                Author information
                http://orcid.org/0000-0002-8052-9320
                http://orcid.org/0000-0002-4088-4117
                http://orcid.org/0000-0002-5728-6463
                http://orcid.org/0000-0001-5821-7630
                http://orcid.org/0000-0003-0315-7970
                http://orcid.org/0000-0002-0567-9193
                Article
                40348
                10.1038/s41467-023-40348-0
                10507039
                37723137
                2c9b7fb4-ad50-419c-ba85-fae546e1a34b
                © Springer Nature Limited 2023

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 November 2022
                : 20 July 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000065, U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS);
                Award ID: R01 AG057331
                Award ID: U01 NS082157
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS)
                Funded by: American Parkinson’s Disease Association, The Michael J. Fox Foundation for Parkinson’s Research (MJFF) and the Aligning Science Across Parkinson’s
                Categories
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                © Springer Nature Limited 2023

                Uncategorized
                neurodegenerative diseases,transcriptomics,genome informatics
                Uncategorized
                neurodegenerative diseases, transcriptomics, genome informatics

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