m+Medelevator.RU
← Поиск публикаций
Cell genomics · 2023

The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
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.

Bressan Elisangela, Reed Xylena, Bansal Vikas, Hutchins Elizabeth, Cobb Melanie M, Webb Michelle G, Alsop Eric, Grenn Francis P, Illarionova Anastasia, Savytska Natalia, Violich Ivo, Broeer Stefanie, Fernandes Noémia, Sivakumar Ramiyapriya, Beilina Alexandra, Billingsley Kimberley J, Berghausen Joos, Pantazis Caroline B, Pitz Vanessa, Patel Dhairya, Daida Kensuke, Meechoovet Bessie, Reiman Rebecca, Courtright-Lim Amanda, Logemann Amber, Antone Jerry, Barch Mariya, Kitchen Robert, Li Yan, Dalgard Clifton L, American Genome Center, Rizzu Patrizia, Hernandez Dena G, Hjelm Brooke E, Nalls Mike, Gibbs J Raphael, Finkbeiner Steven, Cookson Mark R, Van Keuren-Jensen Kendall, Craig David W, Singleton Andrew B, Heutink Peter, Blauwendraat Cornelis

Аннотация

The Foundational Data Initiative for Parkinson Disease (FOUNDIN-PD) is an international collaboration producing fundamental resources for Parkinson disease (PD). FOUNDIN-PD generated a multi-layered molecular dataset in a cohort of induced pluripotent stem cell (iPSC) lines differentiated to dopaminergic (DA) neurons, a major affected cell type in PD. The lines were derived from the Parkinson's Progression Markers Initiative study, which included participants with PD carrying monogenic PD variants, variants with intermediate effects, and variants identified by genome-wide association studies and unaffected individuals. We generated genetic, epigenetic, regulatory, transcriptomic, and longitudinal cellular imaging data from iPSC-derived DA neurons to understand molecular relationships between disease-associated genetic variation and proximate molecular events. These data reveal that iPSC-derived DA neurons provide a valuable cellular context and foundational atlas for modeling PD genetic risk. We have integrated these data into a FOUNDIN-PD data browser as a resource for understanding the molecular pathogenesis of PD.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты