Literature DB >> 31626287

Suppression of Progranulin Expression Leads to Formation of Intranuclear TDP-43 Inclusions In Vitro: A Cell Model of Frontotemporal Lobar Degeneration.

Jiuling Zhu1, Ning Wang2, Xianan Li3, Xiaojing Zheng1, Junli Zhao1, Haibin Xia2, Qinwen Mao3.   

Abstract

Mutations in the GRN gene coding for progranulin (PGRN) are responsible for many cases of familial frontotemporal lobar degeneration (FTLD) with TAR DNA-binding protein 43 (TDP-43)-positive inclusions (FTLD-TDP). GRN mutations create null alleles resulting in decreased progranulin protein or haploinsufficiency. FTLD-TDP with GRN mutations is characterized by lentiform neuronal intranuclear inclusions that are positive for TDP-43 in affected brain regions. In this study, by stably expressed short hairpin RNA, we established a neuroblastoma cell line with decreased PGRN level. This cell line reveals TDP-43-positive intranuclear inclusions. In addition, replacement with purified PGRN protein restores normal TDP-43 nuclear distribution. This cell model can be valuable for the study of the role of PGRN in the pathogenesis in FTLD-TDP.
© 2019 American Association of Neuropathologists, Inc. All rights reserved.

Entities:  

Keywords:  Cell model; Frontotemporal lobar degeneration; GRN, Progranulin; Replacement; Short hairpin RNAs; TAR DNA binding protein-43

Year:  2019        PMID: 31626287     DOI: 10.1093/jnen/nlz102

Source DB:  PubMed          Journal:  J Neuropathol Exp Neurol        ISSN: 0022-3069            Impact factor:   3.685


  2 in total

1.  Parkin Levels Decrease in Fibroblasts With Progranulin (PGRN) Pathogenic Variants and in a Cellular Model of PGRN Deficiency.

Authors:  Katarzyna Gaweda-Walerych; Dawid Walerych; Mariusz Berdyński; Emanuele Buratti; Cezary Zekanowski
Journal:  Front Mol Neurosci       Date:  2021-05-13       Impact factor: 5.639

2.  Analysis of the Biomarkers for Neurodegenerative Diseases in Aged Progranulin Deficient Mice.

Authors:  Xiangli Zhao; Sadaf Hasan; Benjamin Liou; Yi Lin; Ying Sun; Chuanju Liu
Journal:  Int J Mol Sci       Date:  2022-01-06       Impact factor: 5.923

  2 in total

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