Publications by authors named "Kate Andersh"

Variants in are common genetic risk factors for several synucleinopathies. The increased risk has been attributed to the toxic effects of misfolded glucocerebrosidase (GCase) (gain-of-function), and the accumulation of lipid substrates due to reduced enzyme activity (loss-of-function). To delineate pathogenicity, an iPSC line was generated from a patient with both type 1 Gaucher disease (: N370S/N370S; p.

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Background: In Gaucher disease (GD), glucocerebrosidase (GCase) deficiency results from biallelic pathogenic GBA1 variants. While GBA1 variants are a major risk factor for Parkinson's disease (PD), most patients with GD never develop parkinsonism.

Objectives: To understand factors impacting PD penetrance in patients with GD by comparing induced pluripotent stem cell (iPSC)-derived dopaminergic neurons (DANs) from GD siblings discordant for PD.

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Endemic viral infections with low pathogenicity are often overlooked due to their mild symptoms, yet they can exert long-term effects on cellular function and contribute to disease pathogenesis. While viral infections have been implicated in neurodegenerative disorders, their impact on the neuronal proteome remains poorly understood. Here, we differentiated human induced pluripotent stem cells (KOLF2.

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Article Synopsis
  • - The paper explores using Large Language Models (LLMs) to streamline data wrangling and automate tasks in data discovery and harmonization, crucial for making biomedical data AI-ready by developing Common Data Elements (CDEs).
  • - A human-in-the-loop approach was utilized to ensure the accuracy of generated CDEs from various studies and databases, achieving a high accuracy rate where 94.0% of fields required no manual changes, with an interoperability mapping rate of 32.4%.
  • - The resulting CDEs are designed to improve dataset compatibility by measuring how well different data sources align with these standards, ultimately enhancing the efficiency and scalability of biomedical research efforts.
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Inducible pluripotent stem cells (iPSCs) derived from patient samples have significantly enhanced our ability to model neurological diseases. Comparative studies of dopaminergic (DA) neurons differentiated from iPSCs derived from siblings with Gaucher disease discordant for parkinsonism provides a valuable avenue to explore genetic modifiers contributing to -associated parkinsonism in disease-relevant cells. However, such studies are often complicated by the inherent heterogeneity in differentiation efficiency among iPSC lines derived from different individuals.

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