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Potent of strategic approaches for tauopathies ranging from single cell transcriptome to microbiome.open access

Authors
Kim, Sung-HyunYang, SuminYang, EunjeongKang, MingonJoo, Jae-Yeol
Issue Date
Dec-2023
Publisher
한국통합생물학회
Keywords
Tauopathies; deep learning; single-cell transcriptome; microbiome
Citation
Animal Cells and Systems, v.27, no.1, pp 378 - 393
Pages
16
Indexed
SCIE
SCOPUS
KCI
Journal Title
Animal Cells and Systems
Volume
27
Number
1
Start Page
378
End Page
393
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/116284
DOI
10.1080/19768354.2023.2285826
ISSN
1976-8354
2151-2485
Abstract
Tauopathies as one of the typical neurodegenerative diseases are characterized by pathologically aggregated tau in neuron and glia, which causes dysfunction, synapse loss, and cognitive impairments. There are more than 26 cases that are classified according to major tau isoform aggregates production or abnormal tau generation processes. Although the various concepts for targeting tau mechanisms have been investigated, the obvious limitations still remain and consequently, hindering their applicability. Therefore, additional strategies are required in the therapeutics and diagnosis. Here, we briefly summarized the etiological tau in the hyperphosphorylation, and the present concepts of tau-targeted disease therapies and diagnosis. We suggest the potential of approaches from deep learning-based single-cell transcriptome to microbiome and discuss the encountered challenges for the applicability and practicality.
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