MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1038/s41380-020-00999-7

Медицинская библиотека · Molecular psychiatry · 2021

Current and future applications of induced pluripotent stem cell-based models to study pathological proteins in neurodegenerative disorders.

de Rus Jacquet Aurélie, Denis Hélèna L, Cicchetti Francesca, Alpaugh Melanie

СтатьяПоддержка исследования: вне правительства СШАОбзорПеревод пока не подготовлен

Аннотация

Neurodegenerative disorders emerge from the failure of intricate cellular mechanisms, which ultimately lead to the loss of vulnerable neuronal populations. Research conducted across several laboratories has now provided compelling evidence that pathogenic proteins can also contribute to non-cell autonomous toxicity in several neurodegenerative contexts, including Alzheimer's, Parkinson's, and Huntington's diseases as well as Amyotrophic Lateral Sclerosis. Given the nearly ubiquitous nature of abnormal protein accumulation in such disorders, elucidating the mechanisms and routes underlying these processes is essential to the development of effective treatments. To this end, physiologically relevant human in vitro models are critical to understand the processes surrounding uptake, release and nucleation under physiological or pathological conditions. This review explores the use of human-induced pluripotent stem cells (iPSCs) to study prion-like protein propagation in neurodegenerative diseases, discusses advantages and limitations of this model, and presents emerging technologies that, combined with the use of iPSC-based models, will provide powerful model systems to propel fundamental research forward.

Для цитирования: de Rus Jacquet Aurélie, Denis Hélèna L, Cicchetti Francesca, Alpaugh Melanie. Current and future applications of induced pluripotent stem cell-based models to study pathological proteins in neurodegenerative disorders.. Molecular psychiatry. 2021. DOI: 10.1038/s41380-020-00999-7.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.