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      TDP-43 represses cryptic exon inclusion in the FTD–ALS gene UNC13A

      research-article
      1 , 2 , 3 , 2 , 3 , 4 , 5 , 1 , 6 , 7 , 1 , 8 , 1 , 1 , 1 , 9 , 7 , 7 , 7 , 7 , 7 , 7 , 10 , 11 , 12 , 13 , 2 , 2 , 3 , 2 , 3 , 14 , 14 , 15 , 15 , 15 , 2 , 3 , 13 , 10 , 11 , 12 , 7 , 4 , 5 , 2 , 3 , , 1 ,
      Nature
      Nature Publishing Group UK
      RNA splicing, Amyotrophic lateral sclerosis, Neurodegeneration, Transcriptomics

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          Abstract

          A hallmark pathological feature of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) is the depletion of RNA-binding protein TDP-43 from the nucleus of neurons in the brain and spinal cord 1 . A major function of TDP-43 is as a repressor of cryptic exon inclusion during RNA splicing 24 . Single nucleotide polymorphisms in UNC13A are among the strongest hits associated with FTD and ALS in human genome-wide association studies 5, 6 , but how those variants increase risk for disease is unknown. Here we show that TDP-43 represses a cryptic exon-splicing event in UNC13A. Loss of TDP-43 from the nucleus in human brain, neuronal cell lines and motor neurons derived from induced pluripotent stem cells resulted in the inclusion of a cryptic exon in UNC13A mRNA and reduced UNC13A protein expression. The top variants associated with FTD or ALS risk in humans are located in the intron harbouring the cryptic exon, and we show that they increase UNC13A cryptic exon splicing in the face of TDP-43 dysfunction. Together, our data provide a direct functional link between one of the strongest genetic risk factors for FTD and ALS ( UNC13A genetic variants), and loss of TDP-43 function.

          Abstract

          TDP-43 controls an exon splicing event in UNC13A that results in the inclusion of a cryptic exon associated with frontotemporal dementia and amyotrophic lateral sclerosis.

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          Most cited references50

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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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            A global reference for human genetic variation

            The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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              Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis.

              Ubiquitin-positive, tau- and alpha-synuclein-negative inclusions are hallmarks of frontotemporal lobar degeneration with ubiquitin-positive inclusions and amyotrophic lateral sclerosis. Although the identity of the ubiquitinated protein specific to either disorder was unknown, we showed that TDP-43 is the major disease protein in both disorders. Pathologic TDP-43 was hyper-phosphorylated, ubiquitinated, and cleaved to generate C-terminal fragments and was recovered only from affected central nervous system regions, including hippocampus, neocortex, and spinal cord. TDP-43 represents the common pathologic substrate linking these neurodegenerative disorders.
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                Author and article information

                Contributors
                petrucelli.leonard@mayo.edu
                agitler@stanford.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                23 February 2022
                23 February 2022
                2022
                : 603
                : 7899
                : 124-130
                Affiliations
                [1 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Genetics, , Stanford University School of Medicine, ; Stanford, CA USA
                [2 ]GRID grid.417467.7, ISNI 0000 0004 0443 9942, Department of Neuroscience, , Mayo Clinic, ; Jacksonville, FL USA
                [3 ]GRID grid.417467.7, ISNI 0000 0004 0443 9942, Neuroscience Graduate Program, , Mayo Clinic Graduate School of Biomedical Sciences, ; Jacksonville, FL USA
                [4 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Neurology, , University of California San Francisco, ; San Francisco, CA USA
                [5 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Pathology, , University of California San Francisco, ; San Francisco, CA USA
                [6 ]GRID grid.168010.e, ISNI 0000000419368956, Neurosciences Interdepartmental Program, , Stanford University School of Medicine, ; Stanford, CA USA
                [7 ]GRID grid.511646.1, ISNI 0000 0004 7480 276X, Maze Therapeutics, ; South San Francisco, CA USA
                [8 ]GRID grid.1003.2, ISNI 0000 0000 9320 7537, Clem Jones Centre for Ageing Dementia Research (CJCADR), Queensland Brain Institute (QBI), , The University of Queensland, ; Brisbane, Queensland Australia
                [9 ]GRID grid.168010.e, ISNI 0000000419368956, Department of Biochemistry, , Stanford University School of Medicine, ; Stanford, CA USA
                [10 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Program in Cell, Molecular, Developmental Biology, and Biophysics, , Johns Hopkins University, ; Baltimore, MD USA
                [11 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Department of Biology, , Johns Hopkins University, ; Baltimore, MD USA
                [12 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Department of Biophysics, , Johns Hopkins University, ; Baltimore, MD USA
                [13 ]GRID grid.25879.31, ISNI 0000 0004 1936 8972, Department of Biochemistry and Biophysics, Perelman School of Medicine, , University of Pennsylvania, ; Philadelphia, PA USA
                [14 ]GRID grid.417467.7, ISNI 0000 0004 0443 9942, Department of Neurology, , Mayo Clinic, ; Jacksonville, FL USA
                [15 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Neurology, , Mayo Clinic, ; Rochester, MN USA
                Author information
                http://orcid.org/0000-0001-8297-4279
                http://orcid.org/0000-0002-4894-4858
                http://orcid.org/0000-0002-5067-8579
                http://orcid.org/0000-0001-5907-1127
                http://orcid.org/0000-0002-4760-5037
                http://orcid.org/0000-0002-8076-1242
                http://orcid.org/0000-0003-1203-0445
                http://orcid.org/0000-0002-1725-9866
                http://orcid.org/0000-0002-4153-8187
                http://orcid.org/0000-0002-6544-066X
                http://orcid.org/0000-0001-7189-7917
                http://orcid.org/0000-0001-7874-9482
                http://orcid.org/0000-0001-8603-1526
                Article
                4424
                10.1038/s41586-022-04424-7
                8891019
                35197626
                0609b957-6e36-4afc-b2fd-2718ae6224e3
                © The Author(s) 2022

                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
                : 2 April 2021
                : 13 January 2022
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                © The Author(s), under exclusive licence to Springer Nature Limited 2022

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                rna splicing,amyotrophic lateral sclerosis,neurodegeneration,transcriptomics
                Uncategorized
                rna splicing, amyotrophic lateral sclerosis, neurodegeneration, transcriptomics

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