Lenore K. Beitel

An automated workflow for quantifying the formation of synuclein aggregates in human dopaminergic neurons

This paper develops an automated assay to quantify synuclein aggregate formation in human dopaminergic neurons using pS129-syn as a marker, showing dose- and time-dependent increases with PFFs and genetic factors affecting aggregate formation.

Generation of PRKN and PINK1-KO and double KO cell lines from healthy induced pluripotent stem cells using CRISPR/Cas9 editing

The paper generates PRKN and PINK1-KO and double KO human iPSC lines using CRISPR/Cas9 to model Parkinson's disease.

Auto-qPCR: A Python based web app for automated and reproducible analysis of qPCR data

Auto-qPCR automates qPCR data analysis, reducing errors and time by providing a web-based tool for DNA quantification and gene expression analysis.

Midbrain organoids with an SNCA gene triplication model key features of synucleinopathy

This study uses midbrain organoids from SNCA triplication patients to model synucleinopathy features, showing increased alpha-synuclein expression and aggregation linked to dopaminergic neuron loss.

A streamlined CRISPR workflow to introduce mutations and generate isogenic iPSCs for modeling amyotrophic lateral sclerosis

This study introduces a streamlined CRISPR workflow to generate isogenic iPSCs with specific ALS-related mutations for modeling the disease.

Microfabricated disk technology: rapid scale up in midbrain organoid generation

This study develops microfabricated disks to scale up midbrain organoid generation, reducing labor and variability while maintaining viability for Parkinson's disease research.

Defining the Neural Kinome: Strategies and Opportunities for Small Molecule Drug Discovery to Target Neurodegenerative Diseases

The paper discusses the potential of kinase inhibitors for neurodegenerative diseases, highlighting the need for validated targets and strategies for drug discovery.