Protein dynamics-based control of proteotoxicity in neurodegenerative diseases
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Notice bibliographique
Résumé
Purpose With increasing life expectancy, neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), Amyotrophic Lateral Sclerosis (ALS) and Huntington's disease (HD), have become one of the major threats to humans. Although the symptoms vary depending on the type of disease, these neurodegenerative diseases share protein toxicity as one of their key pathogenic mechanisms. Herein protein toxicity is defined as all the pathological changes that ensue from accumulation, mis-localization, and/or oligomerization of disease-associated toxic proteins such as -synuclein in PD, polyglutamine (polyQ)-containing proteins in polyQ diseases (e.g., HD), and dipeptide repeat proteins and TDP-43 in ALS. Conventional understanding of protein toxicity is that protein toxicity simply reflects the amount of accumulated toxic proteins. For this reason, our challenges done so far against protein toxicity have been based on a simple strategy of reducing the amount of toxic proteins. However, the exact nature of protein toxicity appears to be much more complex than we have conceived, and thus new paradigm for understanding protein toxicity is highly demanded. In this talk, I will present our current efforts to understand exact nature of proteotoxicity in neurodegenerative diseases and potential solutions that can effectively control proteotoxicity, named as protein dynamics-based control of proteotoxicity. I will tell you about our recent study unveiling cellular intrinsic mechanisms regulating nucleocytoplasmic transport of TDP-43 in neurons. Method We used Drosophila as a primary model to study intrinsic regulatory mechanisms underlying nucleocytoplasmic transport of TDP-43. We used various experimental techniques, such as genetic analyses, immunohistochemistry, behavioral analyses, neuronal imaging, and FRAP. Results and discussion Dysregulation of protein localization, often observed in various neurodegenerative diseases, impairs functionality of the protein, alters the pool of its interactors, or both, thereby leading to cellular toxicity. TDP-43, one of wellcharacterized disease-associated proteins in Lou Gehrig's disease, are known to translocate from the nucleus to the cytoplasm in the disease condition, which is considered as a hallmark of the disease. Thus, unveiling the regulatory mechanism of intracellular localization of TDP-43 is very important to better understand the pathogenesis of Lou Gehrig's disease. However, still our understanding on the neuronal intrinsic program regulating the intracellular localization of TDP-43 remains mostly unclear. Interestingly, we observed that the intracellular localization of TDP-43 dynamically changes even in normal condition of a specific neuronal cell type, named Drosophila classIV da sensory neurons, along development. We first identified intracellular Ca2+ level to be critical for the translocation of TDP-43 between the nucleus and the cytoplasm. Additionally, through fluorescence recovery after photobleaching (FRAP) imaging analyses, we found that the nuclear entry of TDP-43 is critically controlled by intracellular Ca2+ level. Further genetic analyses identified Calpain and Importin a3 as mediators of Ca2+-dependent control of TDP-43 translocation in classIV da sensory neurons. Finally, by modulating Ca2+-Calpain-Importing a3 pathway, we could significantly modify the locomotive phenotypes shown in animal models for Lou Gehrig's disease. Even though we know well that aberrant translocation of TDP-43 is closely associated with Lou Gehrig's disease, we have only limited knowledge to date particularly on how its aberrant translocation initiates at the early stages of the disease. Our findings provide invaluable clues for the neuronal intrinsic program regulating the intracellular localization of TDP-43, of which changes may lead to the initiation of the pathogenic translocation of TDP-43. This study enables other researchers to consider protein dynamics-based control of proteotoxicity as a novel strategy against neurodegenerative diseases, in addition to their conventional approach (quantitative control of toxic proteins).
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle