Potent of strategic approaches for tauopathies ranging from single cell transcriptome to microbiome.
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Sung-Hyun | - |
dc.contributor.author | Yang, Sumin | - |
dc.contributor.author | Yang, Eunjeong | - |
dc.contributor.author | Kang, Mingon | - |
dc.contributor.author | Joo, Jae-Yeol | - |
dc.date.accessioned | 2023-12-12T00:00:13Z | - |
dc.date.available | 2023-12-12T00:00:13Z | - |
dc.date.issued | 2023-12 | - |
dc.identifier.issn | 1976-8354 | - |
dc.identifier.issn | 2151-2485 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/116284 | - |
dc.description.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. | - |
dc.format.extent | 16 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국통합생물학회 | - |
dc.title | Potent of strategic approaches for tauopathies ranging from single cell transcriptome to microbiome. | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.1080/19768354.2023.2285826 | - |
dc.identifier.scopusid | 2-s2.0-85178233101 | - |
dc.identifier.wosid | 001114117100001 | - |
dc.identifier.bibliographicCitation | Animal Cells and Systems, v.27, no.1, pp 378 - 393 | - |
dc.citation.title | Animal Cells and Systems | - |
dc.citation.volume | 27 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 378 | - |
dc.citation.endPage | 393 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART003030900 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Cell Biology | - |
dc.relation.journalResearchArea | Zoology | - |
dc.relation.journalWebOfScienceCategory | Cell Biology | - |
dc.relation.journalWebOfScienceCategory | Zoology | - |
dc.subject.keywordPlus | PROTEIN PHOSPHATASE 2A | - |
dc.subject.keywordPlus | TAU PATHOLOGY | - |
dc.subject.keywordPlus | GUT MICROBIOME | - |
dc.subject.keywordPlus | BRAIN AXIS | - |
dc.subject.keywordPlus | NEURODEGENERATION | - |
dc.subject.keywordPlus | PHOSPHORYLATION | - |
dc.subject.keywordPlus | ASSOCIATION | - |
dc.subject.keywordPlus | PATHWAY | - |
dc.subject.keywordPlus | ATROPHY | - |
dc.subject.keywordAuthor | Tauopathies | - |
dc.subject.keywordAuthor | deep learning | - |
dc.subject.keywordAuthor | single-cell transcriptome | - |
dc.subject.keywordAuthor | microbiome | - |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/19768354.2023.2285826 | - |
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