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GGGGCC repeat expansion in C9orf72 compromises nucleocytoplasmic transport (2015)

B. D. Freibaum ; Y. Lu ; R. Lopez-Gonzalez ; [et al.]

Nature Publishing Group (NPG)

In: Nature. 525(7567): 129-33. doi: 10.1038/nature14974.

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Publication Date: 2015-08-27

Description: The GGGGCC (G4C2) repeat expansion in a noncoding region of C9orf72 is the most common cause of sporadic and familial forms of amyotrophic lateral sclerosis and frontotemporal dementia. The basis for pathogenesis is unknown. To elucidate the consequences of G4C2 repeat expansion in a tractable genetic system, we generated transgenic fly lines expressing 8, 28 or 58 G4C2-repeat-containing transcripts that do not have a translation start site (AUG) but contain an open-reading frame for green fluorescent protein to detect repeat-associated non-AUG (RAN) translation. We show that these transgenic animals display dosage-dependent, repeat-length-dependent degeneration in neuronal tissues and RAN translation of dipeptide repeat (DPR) proteins, as observed in patients with C9orf72-related disease. This model was used in a large-scale, unbiased genetic screen, ultimately leading to the identification of 18 genetic modifiers that encode components of the nuclear pore complex (NPC), as well as the machinery that coordinates the export of nuclear RNA and the import of nuclear proteins. Consistent with these results, we found morphological abnormalities in the architecture of the nuclear envelope in cells expressing expanded G4C2 repeats in vitro and in vivo. Moreover, we identified a substantial defect in RNA export resulting in retention of RNA in the nuclei of Drosophila cells expressing expanded G4C2 repeats and also in mammalian cells, including aged induced pluripotent stem-cell-derived neurons from patients with C9orf72-related disease. These studies show that a primary consequence of G4C2 repeat expansion is the compromise of nucleocytoplasmic transport through the nuclear pore, revealing a novel mechanism of neurodegeneration.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631399/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631399/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Freibaum, Brian D -- Lu, Yubing -- Lopez-Gonzalez, Rodrigo -- Kim, Nam Chul -- Almeida, Sandra -- Lee, Kyung-Ha -- Badders, Nisha -- Valentine, Marc -- Miller, Bruce L -- Wong, Philip C -- Petrucelli, Leonard -- Kim, Hong Joo -- Gao, Fen-Biao -- Taylor, J Paul -- AG019724/AG/NIA NIH HHS/ -- N079725/PHS HHS/ -- NS079725/NS/NINDS NIH HHS/ -- P01 AG019724/AG/NIA NIH HHS/ -- R01 NS057553/NS/NINDS NIH HHS/ -- R01 NS079725/NS/NINDS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Sep 3;525(7567):129-33. doi: 10.1038/nature14974. Epub 2015 Aug 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cell and Molecular Biology, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA. ; Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA. ; Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, California 94158, USA. ; Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. ; Department of Neuroscience, Mayo Clinic Florida, Jacksonville, Florida 32224, USA. ; Howard Hughes Medical Institute, Department of Cell and Molecular Biology, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26308899" target="_blank"〉PubMed〈/a〉

Keywords: Active Transport, Cell Nucleus/*genetics ; Amyotrophic Lateral Sclerosis/genetics/pathology ; Animals ; Animals, Genetically Modified ; DNA Repeat Expansion/*genetics ; Drosophila melanogaster/*cytology/genetics/*metabolism ; Eye/metabolism ; Female ; Frontotemporal Dementia/genetics/pathology ; HeLa Cells ; Humans ; Induced Pluripotent Stem Cells/cytology/metabolism ; Male ; Muscles/cytology/metabolism ; Neurons/cytology/metabolism ; Nuclear Pore/genetics/metabolism/pathology ; Open Reading Frames/*genetics ; Phenotype ; Protein Biosynthesis ; Proteins/*genetics ; RNA/genetics/metabolism ; RNA Transport/*genetics ; Salivary Glands/cytology/metabolism/pathology

Print ISSN: 0028-0836

Electronic ISSN: 1476-4687

Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics

Published by Nature Publishing Group (NPG)

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An integrated pan-tropical biomass map using multiple reference datasets (2015)

V Avitabile, M Herold, G B M Heuvelink, S L Lewis, O L Phillips, G P Asner, J Armston, P Asthon, L F Banin, N Bayol, N Berry, P Boeckx, B Jong, B De; Vries, C Girardin, E Kearsley, J A Lindsell, G Lopez-Gonzalez, R Lucas, Y Malhi, A Morel, E Mitchard, L Nagy, L Qie, M Quinones, C M Ryan, F Slik, T Sunderland, G Vaglio Laurin, R Valentini, H Verbeeck, A Wijaya, S Willcock

Wiley

In: Global Change Biology

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Publication Date: 2015-10-27

Description: We combined two existing datasets of vegetation aboveground biomass (AGB) (Saatchi et al., 2011; Baccini et al., 2012) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally-calibrated high-resolution biomass maps, harmonized and upscaled to 14,477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns indicated by the reference data. The method was applied independently in areas (strata) with homogeneous error patterns of the input (Saatchi and Baccini) maps, which were estimated from the reference data and additional covariates. Based on the fused map, we estimated AGB stock for the tropics (23.4 N – 23.4 S) of 375 Pg dry mass, 9% - 18% lower than the Saatchi and Baccini estimates. The fused map also showed differing spatial patterns of AGB over large areas, with higher AGB density in the dense forest areas in the Congo basin, Eastern Amazon and South-East Asia, and lower values in Central America and in most dry vegetation areas of Africa than either of the input maps. The validation exercise, based on 2,118 estimates from the reference dataset not used in the fusion process, showed that the fused map had a RMSE 15 – 21% lower than that of the input maps and, most importantly, nearly unbiased estimates (mean bias 5 Mg dry mass ha −1 vs. 21 and 28 Mg ha −1 for the input maps). The fusion method can be applied at any scale including the policy-relevant national level, where it can provide improved biomass estimates by integrating existing regional biomass maps as input maps and additional, country-specific reference datasets. This article is protected by copyright. All rights reserved.

Print ISSN: 1354-1013

Electronic ISSN: 1365-2486

Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography

Published by Wiley

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