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RNA Binding Proteins and the Pathogenesis of Frontotemporal Lobar Degeneration

Hofmann, Jeffrey W., Seeley, William W., Huang, Eric J.·2019·Annual Review of Pathology: Mechanisms of Disease

Abstract

Frontotemporal dementia is a group of early onset dementia syndromes linked to underlying frontotemporal lobar degeneration (FTLD) pathology that can be classified based on the formation of abnormal protein aggregates involving tau and two RNA binding proteins, TDP-43 and FUS. Although elucidation of the mechanisms leading to FTLD pathology is in progress, recent advances in genetics and neuropathology indicate that a majority of FTLD cases with proteinopathy involving RNA binding proteins show highly congruent genotype–phenotype correlations. Specifically, recent studies have uncovered the unique properties of the low-complexity domains in RNA binding proteins that can facilitate liquid–liquid phase separation in the formation of membraneless organelles. Furthermore, there is compelling evidence that mutations in FTLD genes lead to dysfunction in diverse cellular pathways that converge on the endolysosomal pathway, autophagy, and neuroinflammation. Together, these results provide key mechanistic insights into the pathogenesis and potential therapeutic targets of FTLD.

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Metadata

Authors
Hofmann, J. W., Seeley, W. W., & Huang, E. J.
Venue
Annual Review of Pathology: Mechanisms of Disease
Published
2019-01-24
Volume
14
Issue
1
Pages
469-495
ISSN
  • 1553-4006
  • 1553-4014
Cited by
47
References
37
Language
en

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CoChat. (2026). Citation check: RNA Binding Proteins and the Pathogenesis of Frontotemporal Lobar Degeneration. https://app.cochat.ai/papers/10.1146/annurev-pathmechdis-012418-012955
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Hofmann, J. W., Seeley, W. W., & Huang, E. J. (2019). RNA Binding Proteins and the Pathogenesis of Frontotemporal Lobar Degeneration. Annual Review of Pathology: Mechanisms of Disease. https://doi.org/10.1146/annurev-pathmechdis-012418-012955

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.