Tridimensional Structural Analysis of Tau Isoforms Generated by Intronic Retention.

Alzheimer’s disease deep learning intron retention isoform polymerization splicing tau protein tridimensional structure

Journal

Journal of Alzheimer's disease reports
ISSN: 2542-4823
Titre abrégé: J Alzheimers Dis Rep
Pays: Netherlands
ID NLM: 101705500

Informations de publication

Date de publication:
2023
Historique:
received: 19 07 2023
accepted: 08 10 2023
medline: 25 12 2023
pubmed: 25 12 2023
entrez: 25 12 2023
Statut: epublish

Résumé

Tauopathies are a subset of neurodegenerative diseases characterized by abnormal tau inclusions. Recently, we have discovered a new, human specific, tau isoform termed W-tau that originates by intron 12 retention. Our preliminary data suggests this newly discovered W-tau isoform might prevent aberrant aggregation of other tau isoforms but is significantly downregulated in tauopathies such as Alzheimer's disease. To accurately predict, examine, and understand tau protein structure and the conformational basis for the neuroprotective role of W-tau. A tridimensional deep learning-based approach and Our findings demonstrate: a) the predicted protein tridimensionality structure of the tau isoforms raised by intron retention and their comparison with the other tau isoforms; b) the interaction of W-tau peptide (from W-tau isoform) with other tau isoforms; c) the effect of W-tau peptide in the polymerization of those tau isoforms. This study supports the importance of the structure-function relationship on the neuroprotective behavior of W-tau inhibiting tau fibrillization

Sections du résumé

Background UNASSIGNED
Tauopathies are a subset of neurodegenerative diseases characterized by abnormal tau inclusions. Recently, we have discovered a new, human specific, tau isoform termed W-tau that originates by intron 12 retention. Our preliminary data suggests this newly discovered W-tau isoform might prevent aberrant aggregation of other tau isoforms but is significantly downregulated in tauopathies such as Alzheimer's disease.
Objective UNASSIGNED
To accurately predict, examine, and understand tau protein structure and the conformational basis for the neuroprotective role of W-tau.
Methods UNASSIGNED
A tridimensional deep learning-based approach and
Results UNASSIGNED
Our findings demonstrate: a) the predicted protein tridimensionality structure of the tau isoforms raised by intron retention and their comparison with the other tau isoforms; b) the interaction of W-tau peptide (from W-tau isoform) with other tau isoforms; c) the effect of W-tau peptide in the polymerization of those tau isoforms.
Conclusions UNASSIGNED
This study supports the importance of the structure-function relationship on the neuroprotective behavior of W-tau inhibiting tau fibrillization

Identifiants

pubmed: 38143771
doi: 10.3233/ADR-230074
pii: ADR230074
pmc: PMC10741963
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1259-1265

Informations de copyright

© 2023 – The authors. Published by IOS Press.

Déclaration de conflit d'intérêts

Jesus Avila is an Editorial Board Member of this journal but was not involved in the peer-review process nor had access to any information regarding its peer-review.

Auteurs

Indalo Domene-Serrano (I)

Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.
Networking Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain.

Raquel Cuadros (R)

Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.
Networking Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain.

Felix Hernandez (F)

Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.
Networking Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain.

Jesus Avila (J)

Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.
Networking Research Centre on Neurodegenerative Diseases (CIBERNED), Madrid, Spain.

Ismael Santa-Maria (I)

Facultad de Ciencias Experimentales, Universidad Francisco de Vitoria, Pozuelo de Alarcón, Madrid, Spain.

Classifications MeSH